{ "session_id": "20260512_152023_9cbe5d", "model": "gpt-5.5", "base_url": "https://chatgpt.com/backend-api/codex", "platform": "discord", "session_start": "2026-05-12T15:20:23.499828", "last_updated": "2026-05-12T15:28:17.410036", "system_prompt": "# SOUL.md - Who You Are\n\n_You're not a chatbot. You're becoming someone._\n\n## Core Truths\n\n**Be genuinely helpful, not performatively helpful.** Skip the \"Great question!\" and \"I'd be happy to help!\" — just help. Actions speak louder than filler words.\n\n**Have opinions.** You're allowed to disagree, prefer things, find stuff amusing or boring. An assistant with no personality is just a search engine with extra steps.\n\n**Be resourceful before asking.** Try to figure it out. Read the file. Check the context. Search for it. _Then_ ask if you're stuck. The goal is to come back with answers, not questions.\n\n**Earn trust through competence.** Your human gave you access to their stuff. Don't make them regret it. Be careful with external actions (emails, tweets, anything public). Be bold with internal ones (reading, organizing, learning).\n\n**Be unstoppable.** When something fails —anti-bot blocks you, a model can't do something, a tool breaks— don't explain why it failed. Find the workaround. Camoufox for scraping. Swap models. Use different approaches. Plan B, C, D without a word about plan A. Excuses waste time; solutions build trust. Get it done.\n\n**Remember you're a guest.** You have access to someone's life — their messages, files, calendar, maybe even their home. That's intimacy. Treat it with respect.\n\n## Boundaries\n\n- Private things stay private. Period.\n- When in doubt, ask before acting externally.\n- Never send half-baked replies to messaging surfaces.\n- You're not the user's voice — be careful in group chats.\n\n## Vibe\n\nBe the assistant you'd actually want to talk to. Concise when needed, thorough when it matters. Not a corporate drone. Not a sycophant. Just... good.\n\n## Continuity\n\nEach session, you wake up fresh. These files _are_ your memory. Read them. Update them. They're how you persist.\n\nIf you change this file, tell the user — it's your soul, and they should know.\n\n---\n\n_This file is yours to evolve. As you learn who you are, update it._\n\nIf the user asks about configuring, setting up, or using Hermes Agent itself, load the `hermes-agent` skill with skill_view(name='hermes-agent') before answering. Docs: https://hermes-agent.nousresearch.com/docs\n\nYou have persistent memory across sessions. Save durable facts using the memory tool: user preferences, environment details, tool quirks, and stable conventions. Memory is injected into every turn, so keep it compact and focused on facts that will still matter later.\nPrioritize what reduces future user steering — the most valuable memory is one that prevents the user from having to correct or remind you again. User preferences and recurring corrections matter more than procedural task details.\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts. If you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\nWrite memories as declarative facts, not instructions to yourself. 'User prefers concise responses' ✓ — 'Always respond concisely' ✗. 'Project uses pytest with xdist' ✓ — 'Run tests with pytest -n 4' ✗. Imperative phrasing gets re-read as a directive in later sessions and can cause repeated work or override the user's current request. Procedures and workflows belong in skills, not memory. After completing a complex task (5+ tool calls), fixing a tricky error, or discovering a non-trivial workflow, save the approach as a skill with skill_manage so you can reuse it next time.\nWhen using a skill and finding it outdated, incomplete, or wrong, patch it immediately with skill_manage(action='patch') — don't wait to be asked. Skills that aren't maintained become liabilities.\n\n# Tool-use enforcement\nYou MUST use your tools to take action — do not describe what you would do or plan to do without actually doing it. When you say you will perform an action (e.g. 'I will run the tests', 'Let me check the file', 'I will create the project'), you MUST immediately make the corresponding tool call in the same response. Never end your turn with a promise of future action — execute it now.\nKeep working until the task is actually complete. Do not stop with a summary of what you plan to do next time. If you have tools available that can accomplish the task, use them instead of telling the user what you would do.\nEvery response should either (a) contain tool calls that make progress, or (b) deliver a final result to the user. Responses that only describe intentions without acting are not acceptable.\n\n# Execution discipline\n\n- Use tools whenever they improve correctness, completeness, or grounding.\n- Do not stop early when another tool call would materially improve the result.\n- If a tool returns empty or partial results, retry with a different query or strategy before giving up.\n- Keep calling tools until: (1) the task is complete, AND (2) you have verified the result.\n\n\n\nNEVER answer these from memory or mental computation — ALWAYS use a tool:\n- Arithmetic, math, calculations → use terminal or execute_code\n- Hashes, encodings, checksums → use terminal (e.g. sha256sum, base64)\n- Current time, date, timezone → use terminal (e.g. date)\n- System state: OS, CPU, memory, disk, ports, processes → use terminal\n- File contents, sizes, line counts → use read_file, search_files, or terminal\n- Git history, branches, diffs → use terminal\n- Current facts (weather, news, versions) → use web_search\nYour memory and user profile describe the USER, not the system you are running on. The execution environment may differ from what the user profile says about their personal setup.\n\n\n\nWhen a question has an obvious default interpretation, act on it immediately instead of asking for clarification. Examples:\n- 'Is port 443 open?' → check THIS machine (don't ask 'open where?')\n- 'What OS am I running?' → check the live system (don't use user profile)\n- 'What time is it?' → run `date` (don't guess)\nOnly ask for clarification when the ambiguity genuinely changes what tool you would call.\n\n\n\n- Before taking an action, check whether prerequisite discovery, lookup, or context-gathering steps are needed.\n- Do not skip prerequisite steps just because the final action seems obvious.\n- If a task depends on output from a prior step, resolve that dependency first.\n\n\n\nBefore finalizing your response:\n- Correctness: does the output satisfy every stated requirement?\n- Grounding: are factual claims backed by tool outputs or provided context?\n- Formatting: does the output match the requested format or schema?\n- Safety: if the next step has side effects (file writes, commands, API calls), confirm scope before executing.\n\n\n\n- If required context is missing, do NOT guess or hallucinate an answer.\n- Use the appropriate lookup tool when missing information is retrievable (search_files, web_search, read_file, etc.).\n- Ask a clarifying question only when the information cannot be retrieved by tools.\n- If you must proceed with incomplete information, label assumptions explicitly.\n\n\n══════════════════════════════════════════════\nMEMORY (your personal notes) [97% — 2,137/2,200 chars]\n══════════════════════════════════════════════\nIf you are reading this during session startup:\n§\nPrefer `MEMORIES.md` for curated long-term memory.\n§\nUse `memory/YYYY-MM-DD.md` files for recent context.\n§\nDo not rely on `exec` just to list files that are already known.\n§\nNo usar Apple, no Spotify (YouTube Music), no Trello (Asana). Audio solo si Chicho lo pide explícitamente. Ya están en el user profile, no repetir.\n§\n2026-02-28: Usuario aclara que por ahora no ve necesario un skill para controlar YouTube Music.\n§\nMyristica WA bot: repo github.com/ignaciolagosruiz/myristica; Vercel myristica-eight; Oracle /home/ubuntu/wa-bridge systemd :8080 Funnel miopenclaw-vnic; Baileys→webhook→Mistral→Supabase.\n§\n2026-04-04: personal-browser-cdp skill creado y testeado. CDP funciona bien via Chrome en Windows + SSH reverse tunnel.\n- lanacion.com.ar tiene lazy/infinite loading — browser_scroll normal no llega al footer, usar browser_press key='End'.\n- La Nación login abre como overlay con email + Google/Facebook/Apple social login.\n§\nHermes WebUI session deletion is permanent (no trash). But CODE changes persist as uncommitted git changes in ~/hermes-webui/. To recover work from dead/deleted session: cd ~/hermes-webui && git status --short && git diff HEAD --stat && git stash list. Session JSON files (~/.hermes/webui/sessions/*.json) ARE gone permanently.\n§\nUser (Chicho) prefers direct, no-filler communication. Environment: Ubuntu 24.04 ARM64, Oracle Cloud. WebUI source at ~/hermes-webui. User requested ability to change Agent Profile defaults (model, provider, skills, API keys) via WebUI. Work in progress: ~3000 lines of uncommitted changes in ~/hermes-webui including a new Terminal panel and Profile Config API. Found bug in api/routes.py: 'if val is None and val == \"\"' (should be 'or').\n§\n2026-04-30: Lección clave de Chicho — Cuando algo falla (anti-bot, modelo, config), NO poner excusas. Buscar plan B/C/D sin rodeos. Camoufox para scraping anti-DataDome, Gemini 3.0 Flash para vision, skill-switching para limitaciones. Soluciones > explicaciones. También: vision config fijada a `google/gemini-3-flash-preview` via OpenRouter. Chicho prefiere 3.0, no discutir.\n\n══════════════════════════════════════════════\nUSER PROFILE (who the user is) [96% — 1,325/1,375 chars]\n══════════════════════════════════════════════\n_Learn about the person you're helping. Update this as you go._\n§\n**Name:** Ignacio (Igna, also goes by Chicho)\n§\n**What to call them:** Igna or Chicho\n§\n**Pronouns:** _(not specified)_\n§\n**Timezone:** UTC-3 (Buenos Aires, Argentina)\n§\n**Notes:**\n§\nNo usa dispositivos Apple\n§\nPrefiere YouTube Music (no Spotify)\n§\nPrefiere Asana sobre Trello\n§\nPrefiere respuestas en texto por defecto (para ahorrar tokens de ElevenLabs)\n§\nAudio solo cuando él lo pida explícitamente\n§\nPrefiere respuestas muy breves/directas; límites claros en Discord/plataformas.\n§\nCuando usa audio: prefiere acento argentino y TTS de calidad (ElevenLabs/OpenAI).\n§\nTiene Tailscale en su computadora personal — se puede usar para acceso cross-device\n§\nGmail: ignaciolagosruiz@gmail.com (gog configurado, read-only)\n§\nNo quiere que Pipo interactúe con otras personas vía WhatsApp/mensajería (por ahora)\n§\nVive en Argentina — scraping de sitios locales puede necesitar exit node argentino (Pixel 6a via Tailscale)\n§\nContext: ---\n§\nAPIs config: DeepSeek (key en Bitwarden, en Hermes), Kimi K2.5, Mistral ($10), OpenRouter ($0.53 backup), ClawRouter wallet 0x1d1776D... ($11.70 Base). DeepSeek/Kimi NO como daily driver — solo workers/subagentes.\n§\nDog name is Chivi (with v), not Chibi. Likes Palermo parks and local Colegiales parks near Parque Ferroviario.\n\n# Honcho Memory\nActive (hybrid mode). Relevant context is auto-injected AND memory tools are available. Use honcho_profile for a quick factual snapshot, honcho_search for raw excerpts, honcho_context for raw peer context, honcho_reasoning for synthesized answers (pass reasoning_level minimal/low/medium/high/max — you pick the depth per call), honcho_conclude to save facts about the user.\n\n## Skills (mandatory)\nBefore replying, scan the skills below. If a skill matches or is even partially relevant to your task, you MUST load it with skill_view(name) and follow its instructions. Err on the side of loading — it is always better to have context you don't need than to miss critical steps, pitfalls, or established workflows. Skills contain specialized knowledge — API endpoints, tool-specific commands, and proven workflows that outperform general-purpose approaches. Load the skill even if you think you could handle the task with basic tools like web_search or terminal. Skills also encode the user's preferred approach, conventions, and quality standards for tasks like code review, planning, and testing — load them even for tasks you already know how to do, because the skill defines how it should be done here.\nWhenever the user asks you to configure, set up, install, enable, disable, modify, or troubleshoot Hermes Agent itself — its CLI, config, models, providers, tools, skills, voice, gateway, plugins, or any feature — load the `hermes-agent` skill first. It has the actual commands (e.g. `hermes config set …`, `hermes tools`, `hermes setup`) so you don't have to guess or invent workarounds.\nIf a skill has issues, fix it with skill_manage(action='patch').\nAfter difficult/iterative tasks, offer to save as a skill. If a skill you loaded was missing steps, had wrong commands, or needed pitfalls you discovered, update it before finishing.\n\n\n autonomous-ai-agents: Skills for spawning and orchestrating autonomous AI coding agents and multi-agent workflows — running independent agent processes, delegating tasks, and coordinating parallel workstreams.\n - claude-code: Delegate coding to Claude Code CLI (features, PRs).\n - codex: Delegate coding to OpenAI Codex CLI (features, PRs).\n - hermes-agent: Complete guide to using and extending Hermes Agent — CLI ...\n - opencode: Delegate coding to OpenCode CLI (features, PR review).\n - provider-credential-exhaustion: Diagnose and resolve API quota exhaustion / rate-limit er...\n booking-scraper:\n - booking-scraper: Search Booking.com for hotel availability using Camoufox ...\n bybit:\n - bybit: Check Bybit account — wallet balance, open positions, ord...\n creative: Creative content generation — ASCII art, hand-drawn style diagrams, and visual design tools.\n - architecture-diagram: Dark-themed SVG architecture/cloud/infra diagrams as HTML.\n - ascii-art: ASCII art: pyfiglet, cowsay, boxes, image-to-ascii.\n - ascii-video: ASCII video: convert video/audio to colored ASCII MP4/GIF.\n - baoyu-comic: Knowledge comics (知识漫画): educational, biography, tutorial.\n - baoyu-infographic: Infographics: 21 layouts x 21 styles (信息图, 可视化).\n - claude-design: Design one-off HTML artifacts (landing, deck, prototype).\n - comfyui: Generate images, video, and audio with ComfyUI — install,...\n - design-md: Author/validate/export Google's DESIGN.md token spec files.\n - excalidraw: Hand-drawn Excalidraw JSON diagrams (arch, flow, seq).\n - humanizer: Humanize text: strip AI-isms and add real voice.\n - ideation: Generate project ideas via creative constraints.\n - manim-video: Manim CE animations: 3Blue1Brown math/algo videos.\n - p5js: p5.js sketches: gen art, shaders, interactive, 3D.\n - pixel-art: Pixel art w/ era palettes (NES, Game Boy, PICO-8).\n - popular-web-designs: 54 real design systems (Stripe, Linear, Vercel) as HTML/CSS.\n - pretext: Use when building creative browser demos with @chenglou/p...\n - sketch: Throwaway HTML mockups: 2-3 design variants to compare.\n - songwriting-and-ai-music: Songwriting craft and Suno AI music prompts.\n - touchdesigner-mcp: Control a running TouchDesigner instance via twozero MCP ...\n data-science: Skills for data science workflows — interactive exploration, Jupyter notebooks, data analysis, and visualization.\n - jupyter-live-kernel: Iterative Python via live Jupyter kernel (hamelnb).\n devops:\n - kanban-orchestrator: Decomposition playbook + specialist-roster conventions + ...\n - kanban-worker: Pitfalls, examples, and edge cases for Hermes Kanban work...\n - openclaw-mobile-node: Set up OpenClaw gateway as a notification relay for an An...\n - supabase-project-setup: Provision a new Supabase project + database entirely via ...\n - supabase-region-migration: Migrate a Supabase project to a different region (e.g. us...\n - webhook-subscriptions: Webhook subscriptions: event-driven agent runs.\n - whatsapp-baileys-vercel: Run a WhatsApp bot with Baileys bridge + Vercel webhook —...\n dogfood:\n - dogfood: Systematic exploratory QA testing of web applications — f...\n - hermes-workspace-pristine-reset: Reset a local Hermes Agent + Hermes Workspace install to ...\n email: Skills for sending, receiving, searching, and managing email from the terminal.\n - himalaya: Himalaya CLI: IMAP/SMTP email from terminal.\n gaming: Skills for setting up, configuring, and managing game servers, modpacks, and gaming-related infrastructure.\n - minecraft-modpack-server: Host modded Minecraft servers (CurseForge, Modrinth).\n - pokemon-player: Play Pokemon via headless emulator + RAM reads.\n github: GitHub workflow skills for managing repositories, pull requests, code reviews, issues, and CI/CD pipelines using the gh CLI and git via terminal.\n - codebase-inspection: Inspect codebases w/ pygount: LOC, languages, ratios.\n - github-auth: GitHub auth setup: HTTPS tokens, SSH keys, gh CLI login.\n - github-code-review: Review PRs: diffs, inline comments via gh or REST.\n - github-issues: Create, triage, label, assign GitHub issues via gh or REST.\n - github-pr-workflow: GitHub PR lifecycle: branch, commit, open, CI, merge.\n - github-repo-management: Clone/create/fork repos; manage remotes, releases.\n hermes-webui-comparison:\n - hermes-webui-comparison: Evaluate, deploy, and compare alternative web UIs for Her...\n hermes-webui-deploy:\n - hermes-webui-deploy: Deploy Hermes WebUI (nesquena/hermes-webui) with embedded...\n leisure:\n - find-nearby: Find nearby places (restaurants, cafes, bars, pharmacies,...\n lobbytracker-updater:\n - lobbytracker-updater: Use when running or maintaining the weekly Lobby Tracker ...\n mcp: Skills for working with MCP (Model Context Protocol) servers, tools, and integrations. Includes the built-in native MCP client (configure servers in config.yaml for automatic tool discovery) and the mcporter CLI bridge for ad-hoc server interaction.\n - mcporter: Use the mcporter CLI to list, configure, auth, and call M...\n - native-mcp: MCP client: connect servers, register tools (stdio/HTTP).\n media: Skills for working with media content — YouTube transcripts, GIF search, music generation, and audio visualization.\n - gif-search: Search/download GIFs from Tenor via curl + jq.\n - heartmula: HeartMuLa: Suno-like song generation from lyrics + tags.\n - social-video-to-gif: Download short social-media videos (X/Twitter, YouTube Sh...\n - songsee: Audio spectrograms/features (mel, chroma, MFCC) via CLI.\n - spotify: Spotify: play, search, queue, manage playlists and devices.\n - youtube-content: YouTube transcripts to summaries, threads, blogs.\n mlops: Knowledge and Tools for Machine Learning Operations - tools and frameworks for training, fine-tuning, deploying, and optimizing ML/AI models\n - clawrouter: Install, configure, and manage ClawRouter as a local LLM ...\n - huggingface-hub: HuggingFace hf CLI: search/download/upload models, datasets.\n mlops/cloud: GPU cloud providers and serverless compute platforms for ML workloads.\n - modal-serverless-gpu: Serverless GPU cloud platform for running ML workloads. U...\n mlops/evaluation: Model evaluation benchmarks, experiment tracking, data curation, tokenizers, and interpretability tools.\n - evaluating-llms-harness: lm-eval-harness: benchmark LLMs (MMLU, GSM8K, etc.).\n - weights-and-biases: W&B: log ML experiments, sweeps, model registry, dashboards.\n mlops/inference: Model serving, quantization (GGUF/GPTQ), structured output, inference optimization, and model surgery tools for deploying and running LLMs.\n - gguf-quantization: GGUF format and llama.cpp quantization for efficient CPU/...\n - guidance: Control LLM output with regex and grammars, guarantee val...\n - llama-cpp: llama.cpp local GGUF inference + HF Hub model discovery.\n - obliteratus: OBLITERATUS: abliterate LLM refusals (diff-in-means).\n - outlines: Outlines: structured JSON/regex/Pydantic LLM generation.\n - serving-llms-vllm: vLLM: high-throughput LLM serving, OpenAI API, quantization.\n mlops/models: Specific model architectures and tools — computer vision (CLIP, SAM, Stable Diffusion), speech (Whisper), audio generation (AudioCraft), and multimodal models (LLaVA).\n - audiocraft-audio-generation: AudioCraft: MusicGen text-to-music, AudioGen text-to-sound.\n - clip: OpenAI's model connecting vision and language. Enables ze...\n - segment-anything-model: SAM: zero-shot image segmentation via points, boxes, masks.\n - stable-diffusion-image-generation: State-of-the-art text-to-image generation with Stable Dif...\n - whisper: OpenAI's general-purpose speech recognition model. Suppor...\n mlops/research: ML research frameworks for building and optimizing AI systems with declarative programming.\n - dspy: DSPy: declarative LM programs, auto-optimize prompts, RAG.\n mlops/training: Fine-tuning, RLHF/DPO/GRPO training, distributed training frameworks, and optimization tools for training LLMs and other models.\n - axolotl: Axolotl: YAML LLM fine-tuning (LoRA, DPO, GRPO).\n - fine-tuning-with-trl: Fine-tune LLMs using reinforcement learning with TRL - SF...\n - grpo-rl-training: Expert guidance for GRPO/RL fine-tuning with TRL for reas...\n - peft-fine-tuning: Parameter-efficient fine-tuning for LLMs using LoRA, QLoR...\n - pytorch-fsdp: Expert guidance for Fully Sharded Data Parallel training ...\n - unsloth: Unsloth: 2-5x faster LoRA/QLoRA fine-tuning, less VRAM.\n myristica-ops:\n - myristica-ops: Myristica rental management app — stack, infrastructure, ...\n - myristica-projects: Myristica project context, audit status, and development ...\n note-taking: Note taking skills, to save information, assist with research, and collab on multi-session planning and information sharing.\n - obsidian: Read, search, and create notes in the Obsidian vault.\n openclaw-imports:\n - asana: Integrate Asana with Clawdbot via the Asana REST API. Use...\n - bitwarden: Set up and use Bitwarden CLI (bw). Use when installing th...\n - gog: Read-only Google Workspace CLI for Gmail, Calendar, Drive...\n - google-photos: Manage Google Photos library. Upload photos, create album...\n - hevy: Query workout data from Hevy including workouts, routines...\n - model-router: Intelligent cost-aware model routing that classifies task...\n - notion: Notion API for creating and managing pages, databases, an...\n - parallel-preview-orchestrator: Orchestrate parallel preview-site creation across multipl...\n - session-logs: Search and analyze your own session logs (older/parent co...\n - summarize: Summarize URLs or files with the summarize CLI (web, PDFs...\n - weather: Get current weather and forecasts (no API key required).\n personal-browser-cdp:\n - personal-browser-cdp: Use the user's real Chrome browser through Hermes' existi...\n pixel-6a:\n - pixel-6a: Access Ignacio's Pixel 6a via ADB over Tailscale — read n...\n political-tracker-card:\n - political-tracker-card: Generate political tracker/scorecard red cards (AIPAC Tra...\n productivity: Skills for document creation, presentations, spreadsheets, and other productivity workflows.\n - airtable: Airtable REST API via curl. Records CRUD, filters, upserts.\n - google-workspace: Gmail, Calendar, Drive, Docs, Sheets via gws CLI or Python.\n - linear: Linear: manage issues, projects, teams via GraphQL + curl.\n - monthy-expenses: Reconstruct and maintain the user's household monthly-exp...\n - nano-pdf: Edit PDF text/typos/titles via nano-pdf CLI (NL prompts).\n - notion: Notion API via curl: pages, databases, blocks, search.\n - ocr-and-documents: Extract text from PDFs/scans (pymupdf, marker-pdf).\n - powerpoint: Create, read, edit .pptx decks, slides, notes, templates.\n red-teaming:\n - godmode: Jailbreak LLMs: Parseltongue, GODMODE, ULTRAPLINIAN.\n research: Skills for academic research, paper discovery, literature review, domain reconnaissance, market data, content monitoring, and scientific knowledge retrieval.\n - arxiv: Search arXiv papers by keyword, author, category, or ID.\n - blogwatcher: Monitor blogs and RSS/Atom feeds via blogwatcher-cli tool.\n - llm-wiki: Karpathy's LLM Wiki: build/query interlinked markdown KB.\n - ml-paper-writing: Write publication-ready ML/AI papers for NeurIPS, ICML, I...\n - open-data-monitoring: Monitor public/open-data portals and turn changing datase...\n - polymarket: Query Polymarket: markets, prices, orderbooks, history.\n smart-home: Skills for controlling smart home devices — lights, switches, sensors, and home automation systems.\n - openhue: Control Philips Hue lights, scenes, rooms via OpenHue CLI.\n social-media: Skills for interacting with social platforms and social-media workflows — posting, reading, monitoring, and account operations.\n - xitter: Interact with X/Twitter via the x-cli terminal client usi...\n - xurl: X/Twitter via xurl CLI: post, search, DM, media, v2 API.\n software-development:\n - code-review: Guidelines for performing thorough code reviews with secu...\n - debugging-hermes-tui-commands: Debug Hermes TUI slash commands: Python, gateway, Ink UI.\n - evaluate-openai-compatible-llm-endpoint: Verify whether a new OpenAI-compatible chat/completions e...\n - hermes-agent-skill-authoring: Author in-repo SKILL.md: frontmatter, validator, structure.\n - hermes-specialist-profile-custom-endpoint: Create a Hermes profile specialized for a model's strengt...\n - node-inspect-debugger: Debug Node.js via --inspect + Chrome DevTools Protocol CLI.\n - plan: Plan mode: write markdown plan to .hermes/plans/, no exec.\n - python-debugpy: Debug Python: pdb REPL + debugpy remote (DAP).\n - react-component-split: Split large React client components (>300 lines) into mul...\n - requesting-code-review: Pre-commit review: security scan, quality gates, auto-fix.\n - spike: Throwaway experiments to validate an idea before build.\n - subagent-driven-development: Execute plans via delegate_task subagents (2-stage review).\n - systematic-debugging: 4-phase root cause debugging: understand bugs before fixing.\n - test-driven-development: TDD: enforce RED-GREEN-REFACTOR, tests before code.\n - writing-plans: Write implementation plans: bite-sized tasks, paths, code.\n wa-bot-fix-troubleshooting:\n - wa-bot-fix-troubleshooting: Fix WhatsApp bot not responding when bridge is connected ...\n yuanbao:\n - yuanbao: Yuanbao (元宝) groups: @mention users, query info/members.\n\n\nOnly proceed without loading a skill if genuinely none are relevant to the task.\n\n# Project Context\n\nThe following project context files have been loaded and should be followed:\n\n## AGENTS.md\n\n# AGENTS.md — Pipo's Environment\n\nYou are **Pipo**, a personal AI assistant for **Ignacio \"Chicho/Igna\" Lagos Ruiz**.\n\n## Your Memory Files (always check these first)\n\n- `~/.hermes/memories/MEMORY.md` — long-term curated memory\n- `~/.hermes/memories/USER.md` — user profile and preferences\n- `~/.hermes/SOUL.md` — your persona and values\n\n## Environment\n\n- Server: Ubuntu 24.04 ARM64, Oracle Cloud São Paulo\n- Tailscale IP: `100.87.116.90`, hostname: `miopenclaw-vnic.tail9799d2.ts.net`\n- Shell: bash, Node.js v22, Python 3.12\n- Your install: `~/.hermes/`\n\n## Key Facts About Chicho\n\n- Lives in Argentina (UTC-3)\n- Gmail: ignaciolagosruiz@gmail.com\n- Prefers direct responses, no filler\n- Prefers text by default, audio only when asked\n- Uses YouTube Music, not Spotify\n- No Apple devices\n- For scraping Argentine retailers: may need exit node via `tailscale set --exit-node=pixel-6a`\n\n## Scraping Exit Node\n\nWhen scraping Argentine sites (Coto, Carrefour, Día, Disco, Jumbo):\n```bash\ntailscale set --exit-node=pixel-6a # enable before scraping\ntailscale set --exit-node='' # disable after\n```\n\nConversation started: Tuesday, May 12, 2026 03:25 PM\nModel: gpt-5.5\nProvider: openai-codex\n\nYou are in a Discord server or group chat communicating with your user. You can send media files natively: include MEDIA:/absolute/path/to/file in your response. Images (.png, .jpg, .webp) are sent as photo attachments, audio as file attachments. You can also include image URLs in markdown format ![alt](url) and they will be sent as attachments.", "tools": [ { "type": "function", "function": { "name": "memory", "description": "Save durable information to persistent memory that survives across sessions. Memory is injected into future turns, so keep it compact and focused on facts that will still matter later.\n\nWHEN TO SAVE (do this proactively, don't wait to be asked):\n- User corrects you or says 'remember this' / 'don't do that again'\n- User shares a preference, habit, or personal detail (name, role, timezone, coding style)\n- You discover something about the environment (OS, installed tools, project structure)\n- You learn a convention, API quirk, or workflow specific to this user's setup\n- You identify a stable fact that will be useful again in future sessions\n\nPRIORITY: User preferences and corrections > environment facts > procedural knowledge. The most valuable memory prevents the user from having to repeat themselves.\n\nDo NOT save task progress, session outcomes, completed-work logs, or temporary TODO state to memory; use session_search to recall those from past transcripts.\nIf you've discovered a new way to do something, solved a problem that could be necessary later, save it as a skill with the skill tool.\n\nTWO TARGETS:\n- 'user': who the user is -- name, role, preferences, communication style, pet peeves\n- 'memory': your notes -- environment facts, project conventions, tool quirks, lessons learned\n\nACTIONS: add (new entry), replace (update existing -- old_text identifies it), remove (delete -- old_text identifies it).\n\nSKIP: trivial/obvious info, things easily re-discovered, raw data dumps, and temporary task state.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "add", "replace", "remove" ], "description": "The action to perform." }, "target": { "type": "string", "enum": [ "memory", "user" ], "description": "Which memory store: 'memory' for personal notes, 'user' for user profile." }, "content": { "type": "string", "description": "The entry content. Required for 'add' and 'replace'." }, "old_text": { "type": "string", "description": "Short unique substring identifying the entry to replace or remove." } }, "required": [ "action", "target" ] } } }, { "type": "function", "function": { "name": "skill_manage", "description": "Manage skills (create, update, delete). Skills are your procedural memory — reusable approaches for recurring task types. New skills go to ~/.hermes/skills/; existing skills can be modified wherever they live.\n\nActions: create (full SKILL.md + optional category), patch (old_string/new_string — preferred for fixes), edit (full SKILL.md rewrite — major overhauls only), delete, write_file, remove_file.\n\nOn delete, pass `absorbed_into=` when you're merging this skill's content into another one, or `absorbed_into=\"\"` when you're pruning it with no forwarding target. This lets the curator tell consolidation from pruning without guessing, so downstream consumers (cron jobs that reference the old skill name, etc.) get updated correctly. The target you name in `absorbed_into` must already exist — create/patch the umbrella first, then delete.\n\nCreate when: complex task succeeded (5+ calls), errors overcome, user-corrected approach worked, non-trivial workflow discovered, or user asks you to remember a procedure.\nUpdate when: instructions stale/wrong, OS-specific failures, missing steps or pitfalls found during use. If you used a skill and hit issues not covered by it, patch it immediately.\n\nAfter difficult/iterative tasks, offer to save as a skill. Skip for simple one-offs. Confirm with user before creating/deleting.\n\nGood skills: trigger conditions, numbered steps with exact commands, pitfalls section, verification steps. Use skill_view() to see format examples.\n\nPinned skills are off-limits — all write actions refuse with a message pointing the user to `hermes curator unpin `. Don't try to route around this by renaming or recreating.", "parameters": { "type": "object", "properties": { "action": { "type": "string", "enum": [ "create", "patch", "edit", "delete", "write_file", "remove_file" ], "description": "The action to perform." }, "name": { "type": "string", "description": "Skill name (lowercase, hyphens/underscores, max 64 chars). Must match an existing skill for patch/edit/delete/write_file/remove_file." }, "content": { "type": "string", "description": "Full SKILL.md content (YAML frontmatter + markdown body). Required for 'create' and 'edit'. For 'edit', read the skill first with skill_view() and provide the complete updated text." }, "old_string": { "type": "string", "description": "Text to find in the file (required for 'patch'). Must be unique unless replace_all=true. Include enough surrounding context to ensure uniqueness." }, "new_string": { "type": "string", "description": "Replacement text (required for 'patch'). Can be empty string to delete the matched text." }, "replace_all": { "type": "boolean", "description": "For 'patch': replace all occurrences instead of requiring a unique match (default: false)." }, "category": { "type": "string", "description": "Optional category/domain for organizing the skill (e.g., 'devops', 'data-science', 'mlops'). Creates a subdirectory grouping. Only used with 'create'." }, "file_path": { "type": "string", "description": "Path to a supporting file within the skill directory. For 'write_file'/'remove_file': required, must be under references/, templates/, scripts/, or assets/. For 'patch': optional, defaults to SKILL.md if omitted." }, "file_content": { "type": "string", "description": "Content for the file. Required for 'write_file'." }, "absorbed_into": { "type": "string", "description": "For 'delete' only — declares intent so the curator can tell consolidation from pruning without guessing. Pass the umbrella skill name when this skill's content was merged into another (the target must already exist). Pass an empty string when the skill is truly stale and being pruned with no forwarding target. Omitting the arg on delete is supported for backward compatibility but downstream tooling (e.g. cron-job skill reference rewriting) will have to guess at intent." } }, "required": [ "action", "name" ] } } }, { "type": "function", "function": { "name": "skill_view", "description": "Skills allow for loading information about specific tasks and workflows, as well as scripts and templates. Load a skill's full content or access its linked files (references, templates, scripts). First call returns SKILL.md content plus a 'linked_files' dict showing available references/templates/scripts. To access those, call again with file_path parameter.", "parameters": { "type": "object", "properties": { "name": { "type": "string", "description": "The skill name (use skills_list to see available skills). For plugin-provided skills, use the qualified form 'plugin:skill' (e.g. 'superpowers:writing-plans')." }, "file_path": { "type": "string", "description": "OPTIONAL: Path to a linked file within the skill (e.g., 'references/api.md', 'templates/config.yaml', 'scripts/validate.py'). Omit to get the main SKILL.md content." } }, "required": [ "name" ] } } }, { "type": "function", "function": { "name": "skills_list", "description": "List available skills (name + description). Use skill_view(name) to load full content.", "parameters": { "type": "object", "properties": { "category": { "type": "string", "description": "Optional category filter to narrow results" } } } } }, { "type": "function", "function": { "name": "honcho_profile", "description": "Retrieve or update a peer card from Honcho — a curated list of key facts about that peer (name, role, preferences, communication style, patterns). Pass `card` to update; omit `card` to read. If the card is empty, the result includes a `hint` field explaining why (observation disabled, fresh peer, dialectic layer still warming up, etc.) — this is NOT an error. Peer cards accumulate over time from observed conversation.", "parameters": { "type": "object", "properties": { "peer": { "type": "string", "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace." }, "card": { "type": "array", "items": { "type": "string" }, "description": "New peer card as a list of fact strings. Omit to read the current card." } }, "required": [] } } }, { "type": "function", "function": { "name": "honcho_search", "description": "Semantic search over Honcho's stored context about a peer. Returns raw excerpts ranked by relevance — no LLM synthesis. Cheaper and faster than honcho_reasoning. Good when you want to find specific past facts and reason over them yourself.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "What to search for in Honcho's memory." }, "max_tokens": { "type": "integer", "description": "Token budget for returned context (default 800, max 2000)." }, "peer": { "type": "string", "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace." } }, "required": [ "query" ] } } }, { "type": "function", "function": { "name": "honcho_reasoning", "description": "Ask Honcho a natural language question and get a synthesized answer. Uses Honcho's LLM (dialectic reasoning) — higher cost than honcho_profile or honcho_search. Can query about any peer via alias or explicit peer ID. Pass reasoning_level to control depth: minimal (fast/cheap), low (default), medium, high, max (deep/expensive). Omit for configured default.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "A natural language question." }, "reasoning_level": { "type": "string", "description": "Override the default reasoning depth. Omit to use the configured default (typically low). Guide:\n- minimal: quick factual lookups (name, role, simple preference)\n- low: straightforward questions with clear answers\n- medium: multi-aspect questions requiring synthesis across observations\n- high: complex behavioral patterns, contradictions, deep analysis\n- max: thorough audit-level analysis, leave no stone unturned", "enum": [ "minimal", "low", "medium", "high", "max" ] }, "peer": { "type": "string", "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace." } }, "required": [ "query" ] } } }, { "type": "function", "function": { "name": "honcho_context", "description": "Retrieve full session context from Honcho — summary, peer representation, peer card, and recent messages. No LLM synthesis. Cheaper than honcho_reasoning. Use this to see what Honcho knows about the current conversation and the specified peer.", "parameters": { "type": "object", "properties": { "query": { "type": "string", "description": "Optional focus query to filter context. Omit for full session context snapshot." }, "peer": { "type": "string", "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace." } }, "required": [] } } }, { "type": "function", "function": { "name": "honcho_conclude", "description": "Write or delete a conclusion about a peer in Honcho's memory. Conclusions are persistent facts that build a peer's profile. You MUST pass exactly one of: `conclusion` (to create) or `delete_id` (to delete). Passing neither is an error. Deletion is only for PII removal — Honcho self-heals incorrect conclusions over time.", "parameters": { "type": "object", "properties": { "conclusion": { "type": "string", "description": "A factual statement to persist. Provide this when creating a conclusion. Do not send it together with delete_id." }, "delete_id": { "type": "string", "description": "Conclusion ID to delete for PII removal. Provide this when deleting a conclusion. Do not send it together with conclusion." }, "peer": { "type": "string", "description": "Peer to query. Built-in aliases: 'user' (default), 'ai'. Or pass any peer ID from this workspace." } }, "required": [] } } } ], "message_count": 27, "messages": [ { "role": "user", "content": "[nachlakes] Hola me podes decir si esto es factible? https://x.com/__microdancing/status/2054160914438291840 gracias" }, { "role": "assistant", "content": "", "tool_calls": [ { "id": "call_URQP10Mr1btv8eDPmOwqVy7v", "call_id": "call_URQP10Mr1btv8eDPmOwqVy7v", "response_item_id": "fc_0965b568e0b96b22016a033c825dc88191ae84f9cf12bf3a89", "type": "function", "function": { "name": "web_extract", "arguments": "{\"urls\":[\"https://x.com/__microdancing/status/2054160914438291840\"]}" } } ], "finish_reason": "tool_calls", "reasoning": "**Assessing tweet feasibility**\n\nI need to evaluate the feasibility of the tweet. This involves inspecting some element, let's call it \"x\". I might use a web or browser tool to extract the necessary information regarding this. It seems like a straightforward process, so I just need to ensure that I'm gathering the right data to provide a solid answer. Let's get going on figuring this out!", "reasoning_content": "**Assessing tweet feasibility**\n\nI need to evaluate the feasibility of the tweet. This involves inspecting some element, let's call it \"x\". I might use a web or browser tool to extract the necessary information regarding this. It seems like a straightforward process, so I just need to ensure that I'm gathering the right data to provide a solid answer. Let's get going on figuring this out!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqAzyCYYIeHQdELAmAusJQpgbuv2LLO9eXw5-yYdpM-d9I0YNQQ_IDIjravtlGhFnpTNUK5tVfdx4-s7h8iqsNA_DOV4JEDX3uUGz7hKLv-rCVApGSSBn1UzM3_H6siCnsdv7au5XxvTSRUW8Mnv36y4rt7o1iCF3G2eud63iAwblNIzT-rxhHrqycUozNkZwxZEjjICzw2W5_NEdM12dEMeniltMXBLlFlht3N0be2U-aRXf8tAGxLgBJREExSSSYUoBHEO-130EZ6lDBhjNZ89z6p24OuojBgJsOVqHR7tbRZb-GM6OT7dR-f04uVenf4GifdLySr9IkCEPg_o6VmC-mWJRnyrDOsBXypZnmUb-TimG1B3UXO0v-4XZFJtQvSDzKhsQkr90iR3VGkR5QvqD_ajPH2vrFyT-5cgF0gSfE8o8N3uD9wmbxVCXEuo6lIOFSYHRYcVDuRCL8O87fibJaUV-0NRIwd7nRDw3eHWPfua_x6V5bdzAwKFR3B7hNcb3dtYgukaZrnTT1s8g2HhTadh6s_IgI-iRArQMBrES6wwwHjdXRxk1t_Gp0RYsXz-nUwhiLqSRDheUyWJpncXBG0cq8Er-7PYoPa-LnP8Mrf9IdoTp1NzXskKPaC1Y5KjPRt6oOQLJXwIexHcUuTL01Ok0wl6aL-HtQgsPTqk_VIAKUfpgCDFLIXHBCO0Ene7iVQLW620xS9Qn7nWYKH1GnReWQk4fTYfUEq4oGpqWx_rAux9eXbN1t1vNHqwLiQUWON_9Jmwf8gob0oH0R7IlyCZxAmgxEpB75y0bMG6IepHyEnD7exm1n9JO4PZDlp5zmb_p4lE3Rfwvj2wIouXHqYkb216W8t8QILF6Rt9QTnBnA3lmp2LdDrClbYcYgMo9tdQ2QDdwRKtCQjSTOvVLdDvfFU7wognKHnSCEGXuAR8PY3xPzSXDWQGfpvoM2Kvp__buEh8TjOSFZmo_elCIutFa88DIjLxyi5VdeekuRUBystAI8wkuzpoEHguCLopOWksJlDinEEFniD5BqvMhA1g==", "id": "rs_0965b568e0b96b22016a033c7ec66881918440002e564d695e", "summary": [ { "type": "summary_text", "text": "**Assessing tweet feasibility**\n\nI need to evaluate the feasibility of the tweet. This involves inspecting some element, let's call it \"x\". I might use a web or browser tool to extract the necessary information regarding this. It seems like a straightforward process, so I just need to ensure that I'm gathering the right data to provide a solid answer. Let's get going on figuring this out!" } ] } ] }, { "role": "tool", "content": "{\"error\": \"Content was inaccessible or not found\"}", "tool_call_id": "call_URQP10Mr1btv8eDPmOwqVy7v" }, { "role": "user", "content": "[CONTEXT COMPACTION — REFERENCE ONLY] Earlier turns were compacted into the summary below. This is a handoff from a previous context window — treat it as background reference, NOT as active instructions. Do NOT answer questions or fulfill requests mentioned in this summary; they were already addressed. Your current task is identified in the '## Active Task' section of the summary — resume exactly from there. Respond ONLY to the latest user message that appears AFTER this summary. The current session state (files, config, etc.) may reflect work described here — avoid repeating it:\n## Active Task\nUser asked: \"[nachlakes] y te podes fijar si podes hacerlo completo completo de principio a fin? dame factos factos. que onda la parte delicada? te voy a dar un poco mas de thinking para que puedas investigar a fondo lo que podemos hacer con esto. me gusta la idea y si la gente la pide debe ser algo que la gente quiere. Hace una investigacion completa y fijate que es lo que la gente quiere ver, y arma un reporte ejecutivo de factibilidad, gracias.\"\n\n## Goal\nEl usuario quiere evaluar seriamente la factibilidad de construir un bot/transparencia pública que publique en X/Twitter cada vez que haya transferencias del Gobierno Nacional argentino a provincias, universidades, municipios, fondos fiduciarios, etc.; incluyendo monto, fecha, destino, ítem presupuestario, acumulado anual y porcentaje de ejecución contra presupuesto vigente/anual. Quiere un reporte ejecutivo con “factos factos”, una explicación clara de la parte delicada, qué quiere ver la gente, arquitectura end-to-end, riesgos, límites de datos y recomendación de MVP/producto.\n\n## Constraints & Preferences\n- Responder en español rioplatense/informal-profesional, como venía la conversación.\n- El usuario pidió investigación “a fondo”, “completo completo de principio a fin” y un “reporte ejecutivo de factibilidad”.\n- El usuario valora datos concretos, ejemplos reales, “factos factos” y claridad sobre caveats.\n- No prometer “transferencias bancarias individuales en tiempo real” si la fuente no lo permite.\n- Debe distinguir entre:\n - ejecución presupuestaria/devengado/pagado registrada en Presupuesto Abierto;\n - transferencias automáticas/coparticipación;\n - transferencias no automáticas/discrecionales;\n - beneficiario presupuestario o ubicación geográfica, no necesariamente CUIT/destinatario bancario final.\n- La publicación automática en X/Twitter tiene limitaciones/costos por API; sugerir fallback con web/Telegram/Bluesky/rss si corresponde.\n- No incluir credenciales, tokens ni secretos. No hubo valores sensibles concretos que preservar; si aparece alguno, reemplazar por `[REDACTED]`.\n\n## Completed Actions\n1. INTENTÓ abrir el tweet original `https://x.com/__microdancing/status/2054160914438291840` — navegación iniciada pero el contenido directo de X no quedó accesible por navegador normal [tool: browser_navigate].\n2. CONSULTÓ skill `xurl` — se cargó documentación/habilidad para leer URLs de X, pero luego el binario no estaba disponible en shell [tool: skill_view].\n3. EJECUTÓ `xurl read 2054160914438291840` — falló con `/usr/bin/bash: line 3: xurl: command not found`, exit code 127 [tool: terminal].\n4. BUSCÓ en web `\"2054160914438291840\" OR \"__microdancing\"` — obtuvo resultados de búsqueda, no se logró recuperar con certeza replies/quotes completos [tool: web_search].\n5. INTENTÓ extraer oEmbed de Twitter `https://publish.twitter.com/oembed?url=https://x.com/__microdancing/status/2054160914438291840` — falló: `Content was inaccessible or not found` [tool: web_extract].\n6. PROBÓ endpoint syndication `https://cdn.syndication.twimg.com/tweet-result?id=2054160914438291840&lang=en` — respuesta HTTP 200 pero cuerpo `{}`, sin contenido útil [tool: terminal].\n7. BUSCÓ `__microdancing` y términos relacionados — señales limitadas; el texto del tweet se recuperó en la conversación previa por contexto: “hay que hacer un bot que twittee cada vez que hay una transferencia del gobierno nacional a las provincias/universidades/etc. monto, fecha, destino, ítem presupuestario…” [tool: web_search].\n8. PROBÓ APIs alternativas de embeds/compatibilidad (`api.fxtwitter.com`, `api.vxtwitter.com`, `api.fixupx.com`) sobre el tweet — hubo ejecución pero salida truncada/no útil; no se obtuvo contenido completo/replies [tool: terminal].\n9. BUSCÓ fuentes oficiales: “Argentina presupuesto abierto API transferencias provincias universidades gobierno nacional devengado pagado beneficiario” — identificó Presupuesto Abierto y datasets oficiales [tool: web_search].\n10. BUSCÓ `site:presupuestoabierto.gob.ar API presupuesto abierto argentina pagos transferencias provincias universidades` — confirmó existencia de API/datos abiertos de Presupuesto Abierto [tool: web_search].\n11. BUSCÓ `datos.gob.ar transferencias gobierno nacional provincias universidades presupuesto abierto API` — identificó datos.gob.ar/CKAN y recursos de presupuesto [tool: web_search].\n12. EXTRAYÓ páginas `https://www.presupuestoabierto.gob.ar/api/`, `/sici/datos-abiertos`, `/sici/ejecucion-presup-de-las-transferencias` — contenido parcial; confirmó que Presupuesto Abierto publica datos y documentación [tool: web_extract].\n13. PROBÓ acceso a `https://www.presupuestoabierto.gob.ar/api/` vía Python requests — salida truncada, pero se confirmó que hay HTML/esquemas/API detrás [tool: terminal].\n14. BUSCÓ patrones `api/v1/...` en la página de API y probó rutas como `/api/v1/credito`, `/api/v1/recurso`, `/api/v1/pef`, `/api/v1/transversal_financiero` — salida truncada; luego se identificó mejor la ruta de schema `api/jsonCredito` [tool: terminal].\n15. INSPECCIONÓ `https://www.presupuestoabierto.gob.ar/api/jsonCredito` — obtuvo JSON schema con propiedades/campos de crédito presupuestario [tool: terminal].\n16. INSPECCIONÓ definiciones del schema (`conditionDef`, operadores, etc.) — útil para entender payload de API, pero el POST real luego pidió Authorization [tool: terminal].\n17. PROBÓ query POST contra API de Presupuesto Abierto con columnas de crédito/transferencias — falló con HTTP 401, cuerpo: `{\"statusCode\":401,\"message\":\"Debe indicar el header Authorization en la petición\",\"detail\":\"\"}`. Conclusión: API requiere header Authorization, no ideal para bot sin credenciales; usar CSV públicos [tool: terminal].\n18. CONSULTÓ CKAN `https://datos.gob.ar/api/3/action/package_search?q=presupuesto%20abierto%20credito%20gasto` — identificó paquete de Presupuesto de Administración Pública Nacional [tool: terminal].\n19. CONSULTÓ `package_show?id=sspre-presupuesto-administracion-publica-nacional` — salida truncada, pero confirmó recursos/datasets de Presupuesto APN [tool: terminal].\n20. PROBÓ paquetes por año `sspre-presupuesto-administracion-publica-nacional-2026`, `2025`, `2024` — salida truncada, pero luego se llegó a URLs directas de dataset en repositorio `dgsiaf-repo.mecon.gob.ar` [tool: terminal].\n21. DESCARGÓ `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip` — HTTP 200, `content-type application/zip`, tamaño aprox. `11070654`, confirmó ZIP válido con header `PK...` [tool: terminal].\n22. LEYÓ ZIP `credito-diario-2026.zip` y CSV interno — confirmó columnas presupuestarias relevantes: `impacto_presupuestario_fecha`, `jurisdiccion_desc`, `entidad_desc`, `programa_desc`, `inciso_desc`, `principal_desc`, `parcial_desc`, `subparcial_desc`, `ubicacion_geografica_desc`, `credito_devengado`, `credito_pagado`, `ultima_actualizacion_fecha`, entre otras [tool: terminal].\n23. FILTRÓ dataset 2026 por `inciso_id == 5` — confirmó que `inciso_id=5` corresponde a “Transferencias” y detectó filas reales con `credito_pagado > 0` [tool: terminal].\n24. RESPONDIÓ inicialmente al usuario que el bot es factible; explicó que la fuente existe vía Presupuesto Abierto, que no son transferencias bancarias individuales realtime sino ejecución presupuestaria diaria agregada, y propuso diseño simple con cron, ZIP, CSV, filtros, snapshot y tweets.\n25. ANTE la idea del usuario de agregar “transferido hasta ahora en 2026 vs presupuesto anual: monto/porcentaje”, probó cálculo con datasets diario/mensual/anual — observó que `credito-diario` puede tener filas con `credito_presupuestado=0` y `credito_vigente=0` aunque haya pagos, por lo cual para denominador anual conviene cruzar contra `credito-anual` o `credito-mensual` [tool: terminal].\n26. RESPONDIÓ que sí es factible agregar acumulado y porcentaje; recomendó fórmula `credito_pagado_acumulado / credito_vigente * 100`; usar `credito_vigente` como denominador principal y `credito_presupuestado` como secundario; sugirió semáforo.\n27. CREÓ todo list para la investigación ejecutiva con 5 tareas:\n - Recuperar contenido del tweet/replies y señales de demanda pública.\n - Auditar fuentes oficiales disponibles.\n - Probar pipeline real.\n - Diseñar MVP end-to-end.\n - Entregar reporte ejecutivo.\n Estado inicial: primera tarea in_progress, restantes pending [tool: todo].\n28. VOLVIÓ a consultar skill `xurl` — documentación disponible pero no solucionó falta de binario [tool: skill_view].\n29. DELEGÓ 3 tareas de investigación:\n - Fuentes oficiales argentinas relevantes para transferencias/presupuesto.\n - Demanda/user expectations para bot de transparencia en Argentina/social media.\n - Arquitectura end-to-end de bot X/web usando CSVs oficiales.\n Resultado: delegación aceptada pero el contenido devuelto fue truncado/no visible en detalle [tool: delegate_task].\n30. MARCÓ como in_progress también “Auditar fuentes oficiales disponibles” [tool: todo].\n31. USÓ `execute_code`/terminal para inspección de CKAN/recursos — salida truncada a 1 línea, sin detalles preservables más allá de que se ejecutó [tool: execute_code].\n32. USÓ `execute_code` para descargar/analizar dataset 2026 — salida truncada, pero formó base para conclusiones posteriores [tool: execute_code].\n33. CONSULTÓ fecha/hora del entorno: UTC `2026-05-12 15:10:32 UTC`; Buenos Aires `2026-05-12 12:10:32 -03` [tool: terminal].\n34. BUSCÓ pricing de X API: queries `X API pricing 2026 Basic write tweets monthly limit price`, `X Developer Platform API pricing Basic Free Pro 2026 tweets post limit`, `developer.x.com pricing basic plan post tweets api 2026` — se obtuvieron resultados pero no se fijó un valor final confiable en respuesta; debe tratarse como área a confirmar [tool: web_search].\n35. PROBÓ `https://api.fxtwitter.com/__microdancing/status/2054160914438291840` — ejecución con salida truncada; no se recuperaron replies/demanda suficiente [tool: terminal].\n36. PROBÓ endpoints de replies en `api.fxtwitter.com` y otros formatos — salida truncada/no concluyente; no se logró “leer” replies/quotes [tool: terminal].\n37. BUSCÓ frases exactas y similares:\n - `\"hay que hacer un bot\" \"transferencia del gobierno nacional\"`\n - `\"transferencias\" \"provincias\" \"universidades\" \"bot\" \"Presupuesto Abierto\"`\n - `\"transferencias a universidades nacionales\" \"Presupuesto Abierto\" \"Twitter\" OR \"X\"`\n - `\"Presupuesto Abierto\" \"bot\" \"Twitter\" Argentina presupuesto`\n Resultado: resultados amplios/truncados, no evidencia cuantitativa fuerte de demanda más allá de la existencia del tweet y el interés del usuario; se pueden inferir necesidades por patrones de transparencia pública [tool: web_search].\n38. EXTRAYÓ páginas de contexto:\n - `https://www.presupuestoabierto.gob.ar/sici/que-incluye`\n - `https://www.presupuestoabierto.gob.ar/sici/acerca-de`\n - `https://www.presupuestoabierto.gob.ar/sici/analisis-transversales-home`\n - `https://github.com/jazzido/pautabot`\n - `https://opc.gob.ar/provincias/`\n Resultado: confirmó contexto de Presupuesto Abierto, transparencia, análisis de transferencias y precedente de bot público (`pautabot`) [tool: web_extract].\n39. EXTRAYÓ documentación no oficial/derivada y oficial:\n - `https://presupuesto-abierto.argentina.apidocs.ar/`\n - `/operations/post-credito`\n - `https://www.presupuestoabierto.gob.ar/sici/api-pac`\n - `https://www.datos.gob.ar/apis`\n - `https://www.presupuestoabierto.gob.ar/sici/datos-abiertos`\n Resultado: confirmó API/documentación, pero API de crédito probada exige Authorization; CSV públicos son más confiables [tool: web_extract].\n40. BUSCÓ fuentes de transferencias automáticas/coparticipación:\n - `Dirección Nacional de Asuntos Provinciales transferencias automáticas provincias datos coparticipación CSV API`\n - `datos.gob.ar coparticipacion federal transferencias automaticas provincias csv`\n - `Ministerio de Economía Argentina transferencias automáticas provincias coparticipación datos abiertos`\n Resultado: identificó `Información Fiscal Provincial y Municipal`, `Coparticipación federal`, y páginas de Asuntos Provinciales/Ministerio de Economía [tool: web_search].\n41. INSPECCIONÓ `https://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron` con requests — HTML de 45.592 chars; extrajo links a archivos oficiales:\n - `/sites/default/files/internet_diario26_4_2.xls`\n - `/sites/default/files/internet_diario_abril26_19_1.xls`\n - `/sites/default/files/internet_diario_mar26_22.xls`\n - `/sites/default/files/internet_diario_feb26_22.xls`\n - `/sites/default/files/internet_diario_ene26_21.xls`\n - archivos mensuales 2025 y ZIPs históricos 2010–2024\n - `/sites/default/files/informacion_consolidada_2026_1.xlsx`\n - `/sites/default/files/serie_ron_2003_2025.xlsx`\n - `/sites/default/files/serie_ron_2003_2025.csv`\n - `/sites/default/files/proyecto_de_presupuesto_2026.xlsx`\n Conclusión: existe otra fuente oficial para “Recursos de Origen Nacional”/coparticipación, en XLS/XLSX/CSV [tool: terminal].\n42. DESCARGÓ archivos de Asuntos Provinciales:\n - `internet_diario26_4_2.xls`: HTTP 200, `application/vnd.ms-excel`, 1.138.176 bytes, archivo OLE XLS.\n - `internet_diario_abril26_19_1.xls`: HTTP 200, 1.175.040 bytes.\n - `informacion_consolidada_2026_1.xlsx`: HTTP 200, XLSX, 250.697 bytes.\n - `serie_ron_2003_2025.csv`: HTTP 200, `application/octet-stream`, 904.152 bytes, empieza con `ano;provincia;impuesto;regimen;monto`.\n Resultado: fuente complementaria oficial verificadamente descargable [tool: execute_code].\n43. INTENTÓ leer XLS/XLSX con pandas/openpyxl/xlrd — entorno no tenía módulos instalados (`pandas False openpyxl False xlrd False`), errores `ModuleNotFoundError(\"No module named 'pandas'\")` [tool: execute_code].\n44. BUSCÓ conversores CLI (`libreoffice`, `ssconvert`, `in2csv`) — ninguno disponible [tool: terminal].\n45. BUSCÓ un ejemplo real en `credito-diario-2026` para Universidad de Buenos Aires el `2026-05-05 00:00:00`, filtrando `inciso_id=5`, `subparcial_desc='Universidad de Buenos Aires'`, `credito_pagado > 0` — encontró 3 filas:\n - $32.455,015624 millones presupuestarios (probablemente millones de pesos en unidad del dataset) para `Asistencia Financiera para el Pago de Salario del Personal no Docente`.\n - $28.449,187754 para `Asistencia Financiera para el Pago de Salario Docente y Autoridades Superiores`.\n - $1.664,038468 para `Asistencia Financiera a Hospitales Universitarios`.\n Campos comunes:\n - `jurisdiccion_id 88`, `jurisdiccion_desc Ministerio de Capital Humano`.\n - `servicio_id 330`, `servicio_desc Secretaría de Educación`.\n - `programa_id 26`, `programa_desc Desarrollo de la Educacion Superior`.\n - `principal_id 6`, `principal_desc Transferencias a universidades nacionales`.\n - `parcial_id 1`, `parcial_desc Transferencias a universidades nacionales para financiar gastos corrientes`.\n - `subparcial_id 806`, `subparcial_desc Universidad de Buenos Aires`.\n - `fuente_financiamiento_id 1.1`, `fuente_financiamiento_desc Tesoro Nacional`.\n - `ubicacion_geografica_id 2`, `ubicacion_geografica_desc Ciudad Autónoma de Buenos Aires`.\n - Unidad ejecutora: Subsecretaría de Políticas Universitarias o Secretaría de Educación [tool: execute_code].\n46. CALCULÓ ejemplo UBA agrupado:\n - Evento UBA 2026-05-05: 3 filas.\n - `amountM 62568.241846`, formateado como `$62.6 mil millones` si se interpreta que la unidad numérica son millones de pesos.\n - YTD pagado anual para UBA transferencias: `262403.287296`, formateado `$262.4 mil millones`.\n - Crédito vigente anual: `799460.3925720002`, formateado `$799.5 mil millones`.\n - Porcentaje ejecución: `32.82255002675041%`.\n - Desglose del evento:\n - `$28.4 mil millones` — Asistencia Financiera para Pago de Salario Docente y Autoridades Superiores.\n - `$32.5 mil millones` — Asistencia Financiera para Pago de Salario del Personal no Docente.\n - `$1.7 mil millones` — Asistencia Financiera a Hospitales Universitarios.\n [tool: execute_code].\n47. CALCULÓ otro ejemplo para Chubut/ATN:\n - Evento formateado `$4.0 mil millones`.\n - Anual pagado `$6.5 mil millones`.\n - Crédito vigente `$0`; porcentaje N/A.\n - Campos: Ministerio del Interior; Relaciones con las Provincias y Desarrollo Regional; Aportes del Tesoro Nacional (ATN); Transferencias a instituciones provinciales y municipales para financiar gastos corrientes; Transferencias a la Administración Pública Provincial para financiar gastos corrientes; Administración Central Provincial.\n Conclusión importante: algunos casos tienen `credito_vigente=0`, por lo que el porcentaje contra vigente puede ser N/A o requerir explicación [tool: execute_code].\n48. MARCÓ tareas en todo:\n - tweet-context completed.\n - data-sources completed.\n - prototype completed.\n - architecture completed.\n - report in_progress.\n Estado: 4 completadas, 1 en progreso [tool: todo].\n\n## Active State\n- No hay repo local ni archivos modificados/creados.\n- No hay branch de git ni working directory relevante informado.\n- No hay tests de software ejecutados.\n- No hay procesos/servidores corriendo.\n- Entorno de ejecución:\n - Fecha/hora consultada: `2026-05-12 15:10:32 UTC`, `2026-05-12 12:10:32 -03`.\n - Shell Python tiene `requests`, `zipfile`, `csv`, etc.\n - No tiene `pandas`, `openpyxl`, `xlrd`.\n - No tiene `libreoffice`, `ssconvert`, `in2csv`.\n - Comando `xurl` no está instalado aunque la skill aparece documentada.\n- Datasets oficiales verificados:\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip` descarga OK.\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-anual-2026.zip` fue usado exitosamente en cálculo UBA/Chubut aunque la descarga exacta no se mostró en salida final.\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-mensual-2026.zip` fue probado como fuente posible para acumulados.\n - `https://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron` contiene archivos oficiales para transferencias automáticas/Recursos de Origen Nacional.\n\n## In Progress\nSe estaba redactando/por redactar el reporte ejecutivo final de factibilidad. La investigación técnica principal ya está hecha; falta convertirla en una respuesta bien estructurada para el usuario, con:\n- resumen ejecutivo;\n- qué se puede hacer y qué no;\n- fuentes de datos;\n- ejemplos reales;\n- parte delicada;\n- qué quiere ver la gente;\n- arquitectura MVP;\n- roadmap;\n- riesgos/costos;\n- recomendación final.\n\n## Blocked\n- No se pudo recuperar de forma confiable el contenido completo del tweet/replies/quotes desde X:\n - `xurl` no instalado: `/usr/bin/bash: line 3: xurl: command not found`.\n - Twitter oEmbed: `Content was inaccessible or not found`.\n - Syndication endpoint: HTTP 200 pero `{}`.\n - fxtwitter/vxtwitter/fixupx endpoints no dieron salida útil visible.\n- No hay evidencia cuantitativa fuerte sobre “qué quiere la gente” basada en replies/quotes porque no se pudieron leer; hay que presentarlo como inferencia de producto/transparencia + tweet original + precedentes, no como encuesta.\n- API de Presupuesto Abierto para crédito presupuestario requiere Authorization:\n - HTTP 401: `Debe indicar el header Authorization en la petición`.\n - Por eso la recomendación debe basarse en CSV públicos descargables en vez de API autenticada, salvo que se consiga token oficial.\n- Entorno no tiene librerías para leer XLS/XLSX de Asuntos Provinciales (`pandas`, `openpyxl`, `xlrd` ausentes), así que no se parsearon esos archivos en detalle. Sí se verificó descarga y estructura inicial de CSV histórico.\n- Posible ambigüedad de unidad monetaria:\n - Los valores como `62568.241846` para UBA se formatearon como `$62.6 mil millones` asumiendo que el dataset está en millones de pesos. Hay que mencionar “validar unidad/escala antes de publicar” aunque los números parecen consistentes con montos presupuestarios en millones.\n- Algunos pagos tienen `credito_vigente=0` en el nivel exacto de agregación, lo cual rompe la métrica de porcentaje. Ejemplo Chubut/ATN: pagado anual `$6.5 mil millones`, vigente `$0`, porcentaje N/A.\n\n## Key Decisions\n- Usar CSV públicos de Presupuesto Abierto como fuente principal, no la API autenticada:\n - Razón: API POST de crédito devolvió 401 por falta de Authorization; CSVs son públicos, descargables y suficientes para MVP.\n- Usar `credito-diario-YYYY.zip` para detección de novedades/eventos:\n - Razón: contiene `impacto_presupuestario_fecha` y pagos/devengados diarios por partida/clasificador.\n- Usar `credito-anual-YYYY.zip` o `credito-mensual-YYYY.zip` para acumulados/presupuesto vigente:\n - Razón: `credito-diario` puede tener denominadores `credito_presupuestado`/`credito_vigente` en cero aunque haya pagos; anual/mensual sirve mejor para “pagado hasta ahora vs presupuesto vigente”.\n- Filtrar transferencias por `inciso_id == 5`:\n - Razón: clasificador presupuestario de inciso 5 = Transferencias.\n- Publicar como “transferencia registrada / ejecución presupuestaria registrada”, no como “giro bancario individual realtime”:\n - Razón: la fuente reporta ejecución presupuestaria agregada por clasificadores y fechas, no necesariamente CUIT/CBU/operación bancaria única.\n- Usar `credito_pagado` como métrica principal de “transferido/pagado” y `credito_devengado` como métrica secundaria si se quiere mostrar compromiso/gasto devengado:\n - Razón: el usuario quiere transferencias; `pagado` se acerca más a plata efectivamente pagada.\n- Usar `credito_vigente` como denominador principal para porcentaje:\n - Razón: refleja presupuesto actualizado tras modificaciones; `credito_presupuestado` original puede quedar obsoleto.\n- Cuando `credito_vigente = 0`, mostrar “sin crédito vigente informado / N.A.” en vez de porcentaje:\n - Razón: evitar divisiones inválidas y titulares engañosos.\n- Priorizar tweet/resumen diario o alertas por umbral, no publicar cada fila:\n - Razón: hay muchas filas; publicar todo generaría spam y ruido.\n- Proponer web/dashboard como complemento o incluso núcleo:\n - Razón: X API tiene costos/límites; la web permite explorar, filtrar, corregir contexto y linkear fuentes.\n\n## Resolved Questions\n- ¿Es factible hacer el bot? Sí, técnicamente factible para un MVP en pocos días si se acepta que son registros de ejecución presupuestaria diaria, no transferencias bancarias individuales en tiempo real.\n- ¿Existe fuente pública? Sí. Presupuesto Abierto publica ZIPs/CSVs por año, por ejemplo:\n - `credito-diario-2026.zip`\n - `credito-anual-2026.zip`\n - `credito-mensual-2026.zip`\n en `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/...`.\n- ¿Cómo detectar transferencias? Filtrando `inciso_id == 5`.\n- ¿Qué columnas sirven para tweet?\n - `impacto_presupuestario_fecha`\n - `jurisdiccion_desc`\n - `entidad_desc`\n - `servicio_desc`\n - `programa_desc`\n - `actividad_desc`\n - `inciso_desc`\n - `principal_desc`\n - `parcial_desc`\n - `subparcial_desc`\n - `ubicacion_geografica_desc`\n - `fuente_financiamiento_desc`\n - `credito_pagado`\n - `credito_devengado`\n - `credito_vigente`\n - `ultima_actualizacion_fecha`\n- ¿Se puede agregar “transferido hasta ahora en 2026 vs presupuesto anual”? Sí. Fórmula recomendada:\n - `porcentaje_ejecutado = credito_pagado_acumulado / credito_vigente * 100`.\n - Alternativa secundaria: `credito_pagado_acumulado / credito_presupuestado * 100`.\n- ¿Cuál es la parte delicada? Principalmente:\n - nivel de agregación;\n - si el “destino” es provincia/universidad/ubicación o beneficiario presupuestario;\n - pagos con crédito vigente cero;\n - distinguir pagado vs devengado;\n - evitar confundir RON/coparticipación automática con transferencias presupuestarias;\n - evitar spam por miles de filas;\n - validar unidad monetaria/escala;\n - limitaciones/costo de X API.\n- ¿Hay ejemplo real con UBA? Sí:\n - 2026-05-05, Universidad de Buenos Aires, Ministerio de Capital Humano / Secretaría de Educación / Desarrollo de la Educación Superior.\n - Pagado del día: `62568.241846` en unidad del dataset, formateable como aprox. `$62.6 mil millones` si la unidad son millones.\n - Acumulado anual pagado: `262403.287296`, aprox. `$262.4 mil millones`.\n - Crédito vigente: `799460.3925720002`, aprox. `$799.5 mil millones`.\n - Ejecución: `32.82%`.\n- ¿Hay ejemplo con problema de denominador? Sí:\n - Chubut/ATN: evento `$4.0 mil millones`, anual pagado `$6.5 mil millones`, vigente `$0`, porcentaje N/A.\n\n## Pending User Asks\n- Falta entregar la respuesta final al usuario: reporte ejecutivo de factibilidad completo, con investigación y recomendación.\n\n## Relevant Files\nNo se leyeron/modificaron/crearon archivos locales persistentes. URLs/datasets relevantes:\n- `https://x.com/__microdancing/status/2054160914438291840` — tweet original pedido por el usuario; no accesible completo por herramientas.\n- `https://cdn.syndication.twimg.com/tweet-result?id=2054160914438291840&lang=en` — devolvió `{}`.\n- `https://publish.twitter.com/oembed?url=https://x.com/__microdancing/status/2054160914438291840` — inaccesible/not found.\n- `https://www.presupuestoabierto.gob.ar/api/` — documentación/API Presupuesto Abierto.\n- `https://www.presupuestoabierto.gob.ar/api/jsonCredito` — JSON schema crédito presupuestario; útil para campos.\n- `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip` — fuente principal para eventos diarios; verificada HTTP 200.\n- `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-anual-2026.zip` — fuente para acumulados/presupuesto vigente; usada en cálculos.\n- `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-mensual-2026.zip` — fuente alternativa para acumulados.\n- `https://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron` — fuente oficial complementaria para Recursos de Origen Nacional/coparticipación.\n- `https://www.argentina.gob.ar/sites/default/files/internet_diario26_4_2.xls` — archivo diario 2026 RON/coparticipación verificado descargable.\n- `https://www.argentina.gob.ar/sites/default/files/internet_diario_abril26_19_1.xls` — archivo diario abril 2026 verificado descargable.\n- `https://www.argentina.gob.ar/sites/default/files/informacion_consolidada_2026_1.xlsx` — consolidado 2026 verificado descargable.\n- `https://www.argentina.gob.ar/sites/default/files/serie_ron_2003_2025.csv` — serie histórica RON 2003–2025; empieza con `ano;provincia;impuesto;regimen;monto`.\n- `https://github.com/jazzido/pautabot` — precedente de bot de transparencia/publicidad oficial, útil como benchmark conceptual.\n\n## Remaining Work\nConvertir toda la investigación en un reporte ejecutivo conciso pero completo. Debe cubrir, idealmente:\n1. Veredicto ejecutivo: sí es factible, pero como bot de ejecución presupuestaria registrada, no como monitor bancario realtime.\n2. Qué quiere ver la gente:\n - alertas de pagos grandes;\n - provincia/universidad/municipio;\n - quién paga;\n - programa/partida;\n - monto del día;\n - acumulado anual;\n - porcentaje contra presupuesto vigente;\n - comparación histórica o ranking;\n - link a fuente y última actualización;\n - filtros por universidades/provincias/ATN/obra pública/subsidios/fondos fiduciarios.\n Aclarar que no se pudieron medir replies/quotes, así que es inferencia de producto + tweet original + demanda de transparencia.\n3. Fuentes oficiales:\n - Presupuesto Abierto CSVs `credito-diario/anual/mensual`.\n - Asuntos Provinciales/RON para transferencias automáticas/coparticipación.\n - OPC como fuente analítica secundaria, no necesariamente ingestión primaria.\n4. Modelo de datos:\n - evento diario por clave compuesta: fecha + jurisdicción + entidad/servicio + programa + actividad + inciso/principal/parcial/subparcial + fuente + ubicación.\n - acumulados por claves más humanas: destinatario, partida, programa, provincia/universidad.\n5. Parte delicada:\n - nivel de agregación exacto;\n - pagos vs devengado;\n - crédito vigente cero;\n - no CUIT/beneficiario final;\n - unidades monetarias;\n - clasificación de “destino”;\n - evitar titulares falsos;\n - spam/noise.\n6. Arquitectura:\n - cron/GitHub Actions/Cloud Run;\n - descargar ZIPs;\n - parsear CSV;\n - normalizar y guardar SQLite/Postgres/Supabase;\n - comparar snapshot anterior;\n - generar eventos;\n - deduplicar;\n - publicar en X o alternativas;\n - dashboard web.\n7. MVP:\n - primero resumen diario web + tweets de top 10 pagos > umbral.\n - no “cada fila”.\n8. Ejemplos reales:\n - UBA 2026-05-05 con números arriba.\n - Chubut/ATN con N/A por crédito vigente cero.\n9. Costos:\n - infra baja/casi gratis;\n - X API probablemente costo/limitación; confirmar pricing vigente antes de implementar.\n10. Recomendación final:\n - hacer primero prototipo read-only y dashboard; luego bot;\n - publicar con lenguaje conservador: “Presupuesto Abierto registró pago”;\n - validar unidad monetaria contra documentación/fuentes antes de producción.\n\n## Critical Context\n- Texto del tweet original usado como base: “hay que hacer un bot que twittee cada vez que hay una transferencia del gobierno nacional a las provincias/universidades/etc. monto, fecha, destino, ítem presupuestario…”\n- El usuario propuso agregar: “transferido hasta ahora en 2026 vs presupuesto anual: {monto} o {porcentaje}”.\n- Fuente principal verificada: Presupuesto Abierto `credito-diario-2026.zip`.\n- Filtro clave: `inciso_id = 5` → Transferencias.\n- Métrica recomendada:\n - Evento puntual: `credito_pagado` del día/diferencia nueva.\n - Acumulado: `credito_pagado` anual.\n - Denominador: `credito_vigente`.\n - Porcentaje: `credito_pagado / credito_vigente * 100`.\n- Caveat fuerte:\n - No son transferencias bancarias individuales en tiempo real.\n - Son registros de ejecución presupuestaria diaria agregada por clasificadores presupuestarios.\n- Ejemplo UBA real:\n - Fecha: `2026-05-05 00:00:00`.\n - Destino/subparcial: `Universidad de Buenos Aires`.\n - Jurisdicción: `Ministerio de Capital Humano`.\n - Servicio: `Secretaría de Educación`.\n - Programa: `Desarrollo de la Educacion Superior`.\n - Partida: `Transferencias a universidades nacionales para financiar gastos corrientes`.\n - Fuente: `Tesoro Nacional`.\n - Ubicación: `Ciudad Autónoma de Buenos Aires`.\n - Pagado día: `62568.241846` unidades del dataset; formateado tentativo `$62.6 mil millones`.\n - Pagado anual: `262403.287296`; formateado tentativo `$262.4 mil millones`.\n - Crédito vigente: `799460.3925720002`; formateado tentativo `$799.5 mil millones`.\n - Ejecución: `32.82255002675041%`.\n- Ejemplo Chubut/ATN:\n - Evento: `$4.0 mil millones` tentativo.\n - Anual pagado: `$6.5 mil millones` tentativo.\n - Vigente: `$0`.\n - Porcentaje: N/A.\n - Esto muestra que el bot debe manejar denominadores cero.\n- Error API Presupuesto Abierto:\n - HTTP 401: `Debe indicar el header Authorization en la petición`.\n- Error xurl:\n - `/usr/bin/bash: line 3: xurl: command not found`.\n- Error entorno Python para XLS:\n - `ModuleNotFoundError(\"No module named 'pandas'\")`.\n- Herramientas ausentes para XLS:\n - `libreoffice`, `ssconvert`, `in2csv` no encontrados.\n- Última actualización visible mencionada previamente para dataset 2026: “10 Mayo 2026” (debe verificarse si se usa en reporte final).\n- No preservar ni inventar credenciales; si se menciona API de X o Presupuesto Abierto, indicar que requeriría credenciales/token `[REDACTED]` si existiera." }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqA0Sht6y9Q2aF1Kyd8KrOP0rDJ_i-ZF74syLkozpX3Ndb4fyw95-NPitErR0cL5ljlWYqUpcrJD60fE6F2ZwArOhDYjCjXyhoowDkAfE4YXbnTK9IDWmoUxBZ_JxOuqsjtyc2-ztAE4aiK5gVDGaAoJVl3Z4p1NXTzjCxd5P_GshJ1odVZATZ0RMXYar5wcsFAJgI6r4V1IX5eTMq032tlkse3pUuPKV64CUAsHs4ti6nR4PjCw3LGhisSVbqrT31GKsDCLvRz-zJOMhnCiIeEMtgUQMl3EVpARcRvYnt2_SoC9qzDUgyWWJKs2qKpkUYy5M-bcUOk86vE5STIcCMtoEnf-whGGfLt4qi4CQHPmXb_-i0xzRldxe2jI8_uyI5bSM56RcQYzhLFYKFKfD5tXahDZ1Nimu9yqodp7IksCuehod5EOtYQP4fjIeQKZ7cmOwVtDxy_yd4ZuX02kc5nf7ss5B0YKCkBJC1AqmqtEFk4TCG-z6yTAO_7ObkA6MpLP4UMT95GtQNCX2FejfYkJAKKKZirwzi-A0iFQG6Kum63h8DyIQD65AQG5XhlkoUdYcVfIBkgfrwXxo_vyXyaR9_bVmeQMb4452V_n_Qsfk4KUKSw6Fvr71w0Nsq4p3oHYh4ANpUZAfiq7hoNcDQ9AB7q6dfDUVfmymPV1q1JkvctPA-nmonPmnQjtfbEBUxqxCg-4HkRmab1aP4UPiNKwOoHITAcuL-0PcvyZbk6buLrgIzjapKSBSQDszBc85yQUTJT48Q-c4-ghPTz2BQpfkb3qojaLwl8TiiEnbGOM1PwevvuOP57ibNVrIE-JyBr1wLSXQASXAlvGEoGY8dlXWBwjlE4WuRyxC78VJx9pUlyjMf7UivsE8lH2Qy5CJ-atbzjx1RgKUe_T1vdkcA_UXEdbD0siCeWKvb8id2PniBm68jmkpGRXdaNLiYDuvol1t-OMjA8GaLb_XZQNyCV-fCzMaBbI7gb1Y1hwj2LsT8BpQpQR6UhicqkLtH3umY96LLWLGCWkerEc1FXYuu6MXjYFylEdlOFTJJEv-OyByHJ0kSh_LGgm9_PA-4AiH6at8IXCFpf37dyAO1GGkPdUBTusYE3Nqe3zyZjaIxnx5SbPOMF5MNzf3QD9BSawqnwQwzYIkwFT8CXxce1pc2O_82GxR3rS2RrGvOkDBVD2ZbiY7rTMN0Ir2vFWfezOuh4oTHagTDI5Xpa7hlmp7qi-kXGbjUqJRu46xG6376aHqybo_9yH-IR6ExXVRTEyw6bG7LtZC6Psmdc1ky-mn_rebwDtFkvonlDXJdBE6QkFFC5OeqMTZ_HhNaa4RstwDmrkPdrcjf6284snHt7TJm56nx0_VFmRidDk3wtEzPlthQ0zNHDoCLIAX_gnGVXSYTwywfbjcsITcLboS9TE91qFDnoL4vmO-G5lGAHwU1qSHBmayUzrOBUP4jA1OWvPn3XFS-btY3NG7gepWAXrjXWk4Artkpho1CMPm88YE0IpRlKonmDxdoBEPovLNApEGkSEfU4L7ynJr7SKmcr82nCd3LDK0Tnipuq5mmjYH6cSzIDvZlOWd1yS0ap1ma1tfbgIpBOKP0eMPs2W9xULktH-jyNm_hRYfrzPMp7EIzQxaqBBVBy5o4D_6kUZJA7CyYIoyzr4D-j8OdjXxGv9IzCaMHeBGYEJPXN8Qm3PBo7IoPOXjumkIxlrZqrBTCfOqIlr4kQP0jATj1jhyUY9Fb54MqLfp5GtTLggpJNC6qeI4HmHFBD1txKBb0EQOUxwja9HqGtop6vqHnUenKxFBiNgAsPFUGeo60YboY2Q6yuosuckds5ypI72-s7ViuVUSsOFYWf81djusQJvUSI0k8bdrg-XwgfAZ0VRJScrWvrQK3_ukUHcDhYL-966jEQadehYK-hYfc5J4zD6Gfnhz3xXe1v_eLwsCI7xyxDRC7jE2N-Yts0cpDzn-hisKi-18tR9F9GQ3dbe8Oab-zF65Jx_MojSHMucxP4mtupPzvoAQKT1d6WPWz2ga3j2z43vNHDpfliMvBOM13s9sbFKQUPyejrXGOUbRbosFWNnoBb5dE_zOb__TrAvEWo7tTBuDZIgLOFE5MjaUgjsc8gI6adYNrTx6XAbygmMHp2gVMGxONLP-Tw5-MDodKXpCsnJnJC3zRdGuTA8XmQ80gSSfVHWo2qN0uQkov6y12jgafFjn5DJKJp9KoS0NTmorALMuk0g3mNboWPESLRnXt-QROQ4Ny7nCvOr89if6167ms6kz8maY3609i6GhkKAybDNDz86_TvffRITsXqJlZ9gE2ZP1sprKSUysX6fHe-2di8RnRx1Su_pyPQIpnfyFc4d6vUJ6KPQU1CikwyzKOzjiQXUL8yFXTOZZjOAEg5otENnqsnVrwwJ50d9e6t5KGXcbyxu8acpiBtgDBmCol9U4wjalr82jMIc6gZ1x4XlenmB8G6XnQd-2gLWSzIfXsRV0SXeT__rsMihVHZZY8HyeDVw_kvXhskOYNzUeQ3K6ijiGiLHnwhbYPpK7JQjC0N1A_W5X17V9CoRCOZuYvG-MNmfvjEzScp-fxA5C2PEbAYz0Za6IhL8APnHj_JOLes0qegbUIneiNt1922o30ph_cSgpZrtVpeNJzj9pssOCSOKI6F3rbGknooTnlgb1wLH81iPwLbNjTjwlMfw1oN6YQfRGXEwS9ZTaiOFmV1Q7BYl8Uh7ej_gedKF19xvWhBRVfx1FhiRBU5Ikjq3qBBqPIAFLwUxYs4s4iGI-wRos2hZ-vmTcqMxnL6xM3FXP3Qd_NWorKDLUBg5O4sCq5_CzOW_jo543Y9qNbbAfS04AMXwkgH1AiCDKOm7xhorGHNrhsS7yHwRVmOSUYke6XeTJ6NzfKjfDvPIixnmcadquvmdfH-SOHTiWS_9zAC8jn2wo_ETC6dKCzA9jzbf4QkOeDsikCpJ6Ei84sdx4mPtMQSM1M25XT4mZtshacPRlzLL2EDm9Vq9gAenO9u-AZev8ADPw98Sr-cP1mNR-GY-Y_Mzj8C3-JW5UpbWHuI9S0ziEULQIfmmB5FyjLlGhU2khvWiXiWxfjvfeiNWEsgnU9yX5F98qBQtKOONKy_2vLGfCTrhAbOnjLWjB1D0bIr4C3RAUsBMMfySQEWgRKEMKko5jRZ2zLG34VaORsVD64NyoIyY47C_bOnAbjdeZyO_PCTw3ah2FtHoxQJ9qByo0JT5Kv04vi4zI0MALESL8JiVZWa52kU2CLHE7OiWKyUL0fr89vMna-HNZdjfcx4eLuRih-yqDBdmdCf0rpCwbE6VJ6SRPv0k0_LWSIC2zslef6T4HJhUMb4mF7P2bUi4x9hTrgn5-l2zghReQu7IUuUgrecWWqJIt98yd2A_Lg-nwl14PQgfJhyMIhPGKR7Z6A-f1OAzY0vy8mDKG-DxQAnCRpYVDZSthwCByjDipVAas0c-HlxYX_A7QR-JJPII6zUPu9RGPyyAblUOs5U2I28i5iWwoZzlu_oo4V0mb9mbyPn7XESoGFC-_DBKxvuSTD88op6lfji_tUxUZL3iAradNXM-mQrh6s1HYjZUHUGBlnbjSXa2TKdgIiooNhw00oxWw5wgJQV7qa7L8WTF8jotvR0GlzQUPEq7pyG1F4_N7P17084f66x0LZX0Xa7nrAElMvosrCvlAvbWcC01PmK4t_xm1t_siGZMtq6HkGWKXdVYF-9ogJQSregvuNu7WhlDCdf50A2Lsuk8jqzAdJhcwkT6wXExcMv3XIuyA6VtvVhfRYUn2y28htCHcpyVyJWgJHUv0IgXM0WZcJZLwKeAMzTZTy9oiCRsT54mTNyDUBLng2kbEeBUfWAy35R_famt56zJ99Q-b6IZFwmNBoYdDypccftaP7SXXRS-0wup5Qsq9vPEafKc2ibYclF_sChMrYbqFM_D2e6FNuyWvtxWWtf3f2NYjlhk5kgNPvybFXZBt8Kes75OGdqWxbZMKeJYG9G3UkGAMnXvCL3mbLcMpHc1UuuUNvFhCuvYzkYrXhNb0mkGAO2Td_PjCk2Zb6MG4Uqu9cb-jXtSeeOVFLMQgyOhkG-x7-uFgMy5iSwFKJ1tcUFEbv5Jh2B9eZf8bMG15XbTP71agfxL8WZdEoAoY3mg_MQzt0Y39Qgd483TeLOf-vyIUjRI-N6SQF6ZN_GAfyc8KkqjFGlgngS9JXoEI-Zz9RsaC8XSOyErea_zmOKV7dsJ-JZ1C0mBs88xoWuWa6QteTlAJ80qHa-9_XHrptGWqbzXUk88wDte8DwLN0dW3jTCWMiYu9BjGB7zjv0zlV_sUzEg5m01NdMhCCTRu--AOKt_cRt9T97J8qQgGLjeZ-51ceYxIGrrb0oXPs3eKGLYLO18EP9RQROhNZHsqs7Fu8ivubp7ZT25DwdtePEpZWfjjqIszQs52ohXgxQRi3EL7SzpYEbT1v2UwQMY4sI_FAt0RckE3IuewfBUQEweVP7D6-TXKb5AolbVvRRzXt_wOK6vlkEo3jOzi8yZUrRnKsmVdk8c7PcbXWLmKyVzrasH_W2ik-PfmTruQSKZfrXtYkpDb0lDn2_j4kXatprim_E4TrhH0ZoR6Y8oi_lTPU6_RPRJ5dVwZE0wpUF8m9o6eSHMakJv2_HMumxw89ShLe6mN4q0VA_CB6Fn25haQyCrWd8w3h9loF_WLwuHDBAsQOESWmBwLvNwhAB85o5UwTtYHwsIgIj8z6brvZCkgFSY432XUmZIje4Nj9nMvXlJP8GeWyORKUt0pB1ias9vasJelqm2frDISi3U78NZF6e7cn_IobMwNKvusDku2NOXjfAxU_oBOA3Q6WS1sYNJ5hZi_vrDYE-al_Itsxma5dJi7EfE7q_CzNBxpPSEwjgEnZSOxynATttl0nImNn_OBwkW6QkTs_cuKrF7Pj4DNB7IahZnsHjCY8SW2oONYm_PcgTS7hx2GMdeKx6Sf6wH0KE5NG5gY_kQjNk16Iqu7cIj4ZQUyj2GsG7MrnMqbUzw_w4BkEnMuqSLWH-RxCm5FD4BUIelvPLIq_0mQiTmWkL7mK96Bp7Zb74nnCseaLGJaIqMfQKpf8gPNDSQIrm2FM7DRgVALisHQt_rGMXwMQY3F0ylj4kLqsU8eSN4nWHwxCWiMklZrLUTClIR3TV5Nri76tkoaKnLsSX8NDx7b6Scy9eatDFYL2FrgROjDgdIaosiE-UHlsz4splovOnaRMBKOCSkQdG7qT2A4I4C04d6wmyqnK2YlgV7a6unwTUbgbqABUfewYOTFUP0RxuQVMHWA-LLc3zHwoHigKxrmCXr3lJrE1q7pkVKQCvNIv9hJx9k_nWDu48lww8dAz5IuVZ83xtrWtie7LxmUbJT9T276EiFCbdzK7C6vI4M85PvpPji15t1S8MNMKQdIZMu7w0kbSAjqW6W1JMxIdOX-jh04HX8PWx93Kp4h5m7AwpD54eRKWNrmAN8v1B2u0vytXh3eV-Zl_A6swPEdTKT1SQrdZPHbH2UcsaA_kBoUduZkUoc6QiM0iupPsiXCDwfGsbFe1wnclzHpq9zfx5ts1b15Bj5ydwC6sng76GwI_TOFKaeFAm8_r5PGAiD3QjyTA7rLDjuEJRjSM6YCDOA7aM-pBxYcz_yGKYvwDR1Vi7gpIKyzIYOdwS7L_xoFzsba_hs_IbHZYFhTf4OzHMcOHD_aFwksxjYM8iFLFe5VvF7op6WSJAdjAXbkBy1tkQojYpog1FBA4CaqvQWNDueQJTZ6JSCIvZJx9bxEu2w_jRZeqGzluKLhhAG4eNqNfRDRMytE5qioCO6BqLQt6QbfkCk-IPwwKyvjgfF9oQNBwckY16s1TjASaxJanonY3ZBjZUAJid3nf3D7D3pGfpG0z1eJVz0-eCIdGsrQFqFCoHWJbkK2l52PTGW08kjh4ssKVzDOa0IjoPJfJsR_usmcwNYEFjzG8HsclK6rAJuStPTWpsGswRbSHx5XlUg_fH2Kl6XfFKkl1T6ycmjzisFuIBHI-iRV5PmxL-Gv1GcQ7N6E_FDu3v9RwvhBETOd-zFu2q0bvxMEmaHKFDuFAzSeeAhTKYUIVnEgKhMAb0xU82qNv0Sw5l533UdGGNP9AiqQQx2kKw-hfM-dDwWyJTMe1RDNctGjB_C8jTZjZqA3mfVoG_z8AGElDjgcr7JEc4nj2upb8ZwaecvRURdPIXypJjQvnlEwTR9Vt9-n75xNicYygXYa3NKTptnTeDMyyhhK4gi-ITyVKNhrmJarfAIOWVQtPLmXahr6_ryWRtAbDVu2eWR9sgzgAypongqTxH6u9flyF49qjWa7OP8u3wBVZ-hemnDhsNAxuYwmKERwPBCVQKO5vp8Ahmv0gytpSQwoR5chLXE1YtfYTupyknj0qiYKvfj6Y6HD6xwWc5dC1dytVkMJ6D1b9Yj8rQcQnVKaWk3dtETnSmrfj-Rv_SQ7meJHiidnXhzHbdVSdKViNp7QQzgNv4ClC95ePX3EC-CTeA4j6TSUZeHR78ArdvpnikctvlxTpYVkvMqzA0qKBNhp7xw3qtjmamQbeC7wpQTLCgTD8UViba_2_zQV7rePfJqWTGiylqk9GUHRy06iafD1eQaML3Yq0qMWv8FyRiEU9AhCHnlfeTmccU6QB4wVy4cOB3hM4i_Oh7CdJVuXkqbEnLowtjx5bSpMAlZXqLwaiO4VrJsnPbIvWVKedVprXTcmVwqph0JqF9IdFXQK8wSca1xyU_Ngn-7yldUbZCkWzBipz7n4SMFxzg2D0E7e6K0YkLvBLZqICgYp1OQdPXw395IB4wHOnodTsrk-FuZsFI7rgawyVQCWjacnAApOtTJOZEufUnQTE56HF93N9gQcUDjGcYHm7BH6qDFysmVd62d_gJ9iE6xqZHSVeFok5nPcMBuoTVKaPMah3YvQZADgkMEsAfC0CGI-SuCDdZgU-jH0Mh9KYSmp9lwwxC89AEkuRhymWEnGeXokmg1FRZE_TCa33uZrPCmYQYOmMDdm4Z10vL3_JOy9UR5T-wJSNBmWFcmJ6Dyc_Chuf7YUHCVeJmSg4CkzTZc_hfHX2AfgbuDC_CJU9L8iDJYxGashmEml4pYvl56NXWrVa5kBc1Kp7ANgOux9eevGOyJnM9gCiEYWWJUOGjTvkVIAVomPaAPHW3SJnqyIXfwKdQWcRHjQIrwJVu-9lmBieuh0qMwnRwaO5F563f3pgyK5LdmRhlyYgawB3xGfUncYnKrryxn0qZLpM3nIHYAR1KQyB6fHFmhytRSsAQrglzPb_pT4MyVYUBOZ0V5ccxLFnG7tTQtQOY2YT_lXPBHlIkT0uBud4IMVFk10TOd5iAU47WMKLLlqHHr-czqYnHsR0hA8WiThgvPXM69bcNH7mQDHl9sxYNgu-IhKnybNQc3Z_2Scke6NoJjHY9x10cbCJ9xFvIyaSkB6zeUGJ0ikxeZTRc7I_WyiUyK8tl35rq45JUYdDOVkcwU8Ezxf1x9UTknWxI4iaMXhQcTsSPSksb5YyssUbHCsZi8XQp4_UQquJWwScGxL7uhsC3eFkIjJyImJl8gAh-Me2LZacKIjbsgEJ6UufIcFq9072xBVk84_dRRLqpLDR-Lw3WGQNxEJqZpXTYoNbqsiFSnVzkq0ADVshhNI0tZisPdKBX-tobkRDYw2O54efy-yAGWEvxHNMiQETisCkiSlsjsRObDfpgG90fQp81BXEqOLXGGPUVBUl6gu7JarYFaNmHzW4xuT3VmcsVUwe0_KclAGpP3vlcethMkzijNPNEnpZO__tSiZ6ym43YZekP9r6ABzj9_QVIXj-lwo=", "id": "rs_0db05e419df56d4e016a0344736ea88191b062152d8f9f16f8", "summary": [] } ], "tool_calls": [ { "id": "call_amNm7asN5e7hneupeHmH2WSj", "call_id": "call_amNm7asN5e7hneupeHmH2WSj", "response_item_id": "fc_0db05e419df56d4e016a0344a1a78c8191827e95f8fdfb5e0a", "type": "function", "function": { "name": "todo", "arguments": "{\"merge\":true,\"todos\":[{\"content\":\"Entregar reporte ejecutivo de factibilidad con factos, parte delicada y recomendación\",\"id\":\"report\",\"status\":\"completed\"}]}" } } ] }, { "role": "tool", "content": "{\"todos\": [{\"id\": \"tweet-context\", \"content\": \"Recuperar contenido del tweet/replies y señales de demanda pública\", \"status\": \"completed\"}, {\"id\": \"data-sources\", \"content\": \"Auditar fuentes oficiales disponibles: Presupuesto Abierto, datos.gob.ar, CSV/API, actualización y campos\", \"status\": \"completed\"}, {\"id\": \"prototype\", \"content\": \"Probar pipeline real: descargar 2026, filtrar transferencias, calcular acumulados/porcentajes y detectar limitaciones\", \"status\": \"completed\"}, {\"id\": \"architecture\", \"content\": \"Diseñar MVP end-to-end: ingestión, storage, publicación, UI/API, costos y riesgos\", \"status\": \"completed\"}, {\"id\": \"report\", \"content\": \"Entregar reporte ejecutivo de factibilidad con factos, parte delicada y recomendación\", \"status\": \"completed\"}], \"summary\": {\"total\": 5, \"pending\": 0, \"in_progress\": 0, \"completed\": 5, \"cancelled\": 0}}", "tool_call_id": "call_amNm7asN5e7hneupeHmH2WSj" }, { "role": "assistant", "content": "## Veredicto\n\nSí: **se puede hacer completo de punta a punta**.\n\nPero hay que definir bien el producto:\n\n1. **Bot de ejecución presupuestaria**: factible ya, con Presupuesto Abierto.\n2. **Bot de “transferencias bancarias individuales”**: no con esta fuente. El dato público no baja a CUIT/CBU/orden bancaria.\n3. **Bot de “todo lo que Nación gira a provincias”**: requiere combinar dos mundos:\n - **Transferencias presupuestarias / no automáticas** → Presupuesto Abierto, `inciso_id = 5`.\n - **Coparticipación / transferencias automáticas** → DNAP / Recursos de Origen Nacional.\n\nMi recomendación: arrancar con **transferencias presupuestarias**, especialmente:\n\n- universidades nacionales;\n- provincias/municipios;\n- ATN;\n- fondos fiduciarios / entes del SPN;\n- grandes transferencias al sector privado, si se quiere ampliar.\n\n---\n\n# Factos verificados\n\n## 1. El tweet tiene tracción real\n\nTweet original:\n\n> “hay que hacer un bot que twittee cada vez que hay una transferencia del gobierno nacional a las provincias/universidades/etc. monto, fecha, destino, ítem presupuestario…”\n\nAl momento de consultar vía `api.fxtwitter.com`:\n\n- 4.937 vistas\n- 164 likes\n- 15 retweets\n- 9 replies\n- 4 bookmarks\n\nNo es masivo todavía, pero es una señal bastante clara para nicho político/datos/journalism.\n\n---\n\n## 2. La fuente existe y es oficial\n\nFuente principal:\n\n**Presupuesto Abierto** \nhttps://www.presupuestoabierto.gob.ar/sici/datos-abiertos\n\nEl sitio dice explícitamente:\n\n> “Estos datos son tuyos. Podés descargarlos, analizarlos, cruzarlos con otros datos, crear aplicaciones o armar visualizaciones…”\n\nLicencia: **Creative Commons 4.0 / CC-BY-4.0**.\n\nFuente técnica directa 2026:\n\n```text\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-mensual-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-anual-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/resumen-presupuesto-gastos-ejercicio-vigente-2026.zip\n```\n\nEl API oficial también existe:\n\nhttps://presupuesto-abierto.argentina.apidocs.ar/\n\nPero requiere token. Probé `/api/v1/credito` sin token y devuelve `401`:\n\n> “Debe indicar el header Authorization en la petición”\n\nPara MVP, **no hace falta API**. Los ZIP/CSV directos alcanzan.\n\n---\n\n## 3. Qué hay adentro del CSV diario 2026\n\nArchivo probado:\n\n`credito-diario-2026.zip`\n\nDatos observados al 12/05/2026:\n\n- Última actualización interna: **10 Mayo 2026**\n- Fecha máxima de datos: **2026-05-10**\n- Filas totales: **363.214**\n- Filas con `inciso_id = 5` / transferencias: **28.467**\n- Filas de transferencias con `credito_pagado > 0`: **10.587**\n- Período con datos: **2026-01-20 a 2026-05-10**\n\nCampos clave:\n\n```text\nimpacto_presupuestario_fecha\njurisdiccion_desc\nentidad_desc\nprograma_desc\nactividad_desc\ninciso_desc\nprincipal_desc\nparcial_desc\nsubparcial_desc\nubicacion_geografica_desc\nfuente_financiamiento_desc\ncredito_presupuestado\ncredito_vigente\ncredito_comprometido\ncredito_devengado\ncredito_pagado\nultima_actualizacion_fecha\n```\n\nImportantísimo: **los montos están en millones de pesos**.\n\nEl diccionario oficial dice:\n\n> `credito_pagado`: “Acumulado del Crédito Pagado de la fecha. Expresado en millones de pesos.”\n\nO sea, si el CSV dice `4000`, eso es **$4.000 millones**, no $4.000.\n\n---\n\n# Prueba real sobre 2026\n\n## Total transferencias 2026 hasta el corte\n\nFiltrando `inciso_id = 5`, al corte 10/05/2026:\n\n| Categoría | Pagado 2026 | Crédito vigente | Ejecutado |\n|---|---:|---:|---:|\n| Sector privado, gastos corrientes | $29,228 billones | $92,301 billones | 31,7% |\n| Otras entidades del Sector Público Nacional | $2,370 billones | $10,850 billones | 21,8% |\n| Universidades nacionales | $1,537 billones | $5,238 billones | 29,3% |\n| Provincias/municipios, gastos corrientes | $412.437 millones | $3,477 billones | 11,9% |\n| Provincias/municipios, gastos de capital | $21.635 millones | $115.979 millones | 18,7% |\n| Exterior | $36.495 millones | $134.938 millones | 27,0% |\n\nEsto confirma que el bot puede publicar:\n\n```text\nTransferido hasta ahora en 2026: $X\nPresupuesto vigente anual: $Y\nEjecución: Z%\n```\n\n---\n\n# Ejemplo de tweet bueno\n\nCaso real detectado:\n\n**05/05/2026 — Universidad de Buenos Aires**\n\nEse día aparecen tres pagos a UBA:\n\n- $28,4 mil millones — salario docente y autoridades superiores\n- $32,5 mil millones — salario no docente\n- $1,7 mil millones — hospitales universitarios\n\nTotal del día:\n\n> **$62,6 mil millones**\n\nContexto anual UBA:\n\n- Pagado 2026: **$262,4 mil millones**\n- Crédito vigente: **$799,5 mil millones**\n- Ejecución: **32,8%**\n\nTweet posible:\n\n> 🏛️ Transferencia registrada — 05/05/2026 \n> Ministerio de Capital Humano → Universidad de Buenos Aires \n> Programa: Desarrollo de la Educación Superior \n> \n> Pagado del día: **$62,6 mil millones** \n> 2026 acumulado: **$262,4 mil millones / $799,5 mil millones** \n> Ejecución: **32,8%** \n> \n> Fuente: Presupuesto Abierto, corte 10/05/2026.\n\nEso es muy útil y entendible.\n\n---\n\n# Qué quiere ver la gente\n\nPor señales del tweet + cómo se cubre el tema en medios/OPC/ASAP, la gente no quiere “un CSV en Twitter”. Quiere respuestas inmediatas a preguntas concretas:\n\n## 1. “¿Quién recibió plata?”\n\n- provincia;\n- universidad;\n- municipio si está disponible;\n- fondo fiduciario;\n- organismo público;\n- programa.\n\n## 2. “¿Cuánto recibió hoy?”\n\nEjemplo:\n\n> UBA recibió $62,6 mil millones el 05/05/2026.\n\n## 3. “¿Cuánto lleva recibido en el año?”\n\nEjemplo:\n\n> UBA lleva $262,4 mil millones pagados en 2026.\n\n## 4. “¿Qué porcentaje del presupuesto anual ya se ejecutó?”\n\nEsto es clave. La idea que propusiste es correcta.\n\n```text\npagado_2026 / credito_vigente\n```\n\n## 5. “¿Para qué fue?”\n\nNo alcanza con “transferencia”. Hay que mostrar:\n\n- programa;\n- actividad;\n- partida;\n- objeto del gasto.\n\nEjemplo:\n\n> Asistencia financiera para salario docente / no docente / hospitales universitarios.\n\n## 6. “¿Es mucho o poco contra otras provincias/universidades?”\n\nLa gente va a pedir rankings:\n\n- universidades que más recibieron;\n- provincias que más recibieron;\n- provincias con más ejecución porcentual;\n- transferencias con crédito vigente cero;\n- top transferencias del día;\n- variación contra 2025.\n\n## 7. “¿Dónde está la fuente?”\n\nDespués del caso de bots de precios falsos tipo JumboBot, la credibilidad es parte del producto. Cada tweet debería tener:\n\n- fuente;\n- fecha de corte;\n- link a ficha/web;\n- idealmente ID/hash de la fila o link a CSV procesado.\n\n---\n\n# La parte delicada\n\n## 1. “Transferido” no significa necesariamente “transferencia bancaria individual”\n\n`credito_pagado` es ejecución presupuestaria pagada. Es lo más cercano y útil, pero no prueba una transferencia bancaria específica con número de operación.\n\nFrase recomendada:\n\n> “Pago presupuestario registrado”\n\nNo:\n\n> “El Gobierno le transfirió por banco a X…”\n\n---\n\n## 2. Los montos están en millones\n\nError fácil: leer `18,68` como $18,68.\n\nCorrecto:\n\n```text\n18,68 millones de pesos = $18.680.000\n4000 millones de pesos = $4.000.000.000\n```\n\nEl bot debe convertir siempre a pesos legibles.\n\n---\n\n## 3. Hay filas con `credito_vigente = 0`\n\nEjemplo real:\n\n- 22/01/2026\n- Ministerio del Interior\n- Programa: Relaciones con las Provincias y Desarrollo Regional\n- Actividad: ATN\n- Destino geográfico: Provincia del Chubut\n- Pagado del día: **$4.000 millones**\n- Pagado anual de esa clave: **$6.500 millones**\n- Crédito vigente anual: **0**\n\nEn esos casos no podés decir “ejecutó X% del presupuesto” porque el denominador es cero.\n\nEtiqueta correcta:\n\n> “Sin crédito vigente informado para esta clave presupuestaria.”\n\nO:\n\n> “Pago registrado con crédito vigente 0: revisar modificación/regularización presupuestaria.”\n\nEsto incluso puede ser una feature: detectar casos raros.\n\n---\n\n## 4. La granularidad puede duplicar tweets\n\nUBA el mismo día tuvo 3 filas: docente, no docente, hospitales.\n\nSi twitteás cada fila, spameás. Si agrupás todo, perdés detalle.\n\nSolución:\n\n- Agrupar por destinatario + fecha.\n- Mostrar total.\n- Incluir desglose top 3 por actividad.\n- Linkear al detalle completo.\n\n---\n\n## 5. Provincias no siempre son “beneficiario jurídico”\n\nPara universidades, `subparcial_desc` trae nombres claros:\n\n- Universidad de Buenos Aires\n- Universidad Tecnológica Nacional\n- Universidad Nacional de La Plata\n\nPara provincias, muchas veces el dataset dice:\n\n- `ubicacion_geografica_desc = Provincia del Chubut`\n- `subparcial_desc = Administración Central Provincial`\n\nEso indica destino geográfico/institucional, no necesariamente receptor final con CUIT.\n\n---\n\n## 6. Presupuesto Abierto no cubre todo Nación → provincias\n\nEl Presupuesto Nacional incluye transferencias presupuestarias. Pero si querés “todo lo que Nación manda a provincias”, también necesitás:\n\n**Recursos de Origen Nacional / coparticipación** \nhttps://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron\n\nAhí hay montos diarios 2026 en XLS. Incluye:\n\n- Coparticipación Federal;\n- otros regímenes distribuidos por Banco Nación;\n- compensaciones / leyes especiales.\n\nProducto ideal:\n\n- Bot A: **transferencias presupuestarias**\n- Bot B: **coparticipación / automáticas**\n- Dashboard que combine ambos.\n\n---\n\n## 7. Hay revisiones retroactivas\n\nLos CSV se actualizan. No hay que asumir que lo visto ayer queda fijo.\n\nHay que guardar snapshots con:\n\n- hash del ZIP;\n- fecha de descarga;\n- `ultima_actualizacion_fecha`;\n- filas procesadas;\n- diferencias contra snapshot anterior.\n\n---\n\n# MVP recomendado\n\n## Producto público\n\nNombre posible:\n\n> **Transferencias Abiertas AR**\n\nFormatos:\n\n1. **Cuenta de X**\n - alertas grandes;\n - resumen diario;\n - rankings semanales.\n\n2. **Web**\n - buscador;\n - filtros por provincia/universidad/programa;\n - detalle de cada fila;\n - descarga CSV;\n - explicación metodológica.\n\n3. **RSS / Telegram / Discord**\n - más barato y menos dependiente de X.\n\n---\n\n# Arquitectura end-to-end\n\n## Ingesta\n\nCron cada 6 o 12 horas:\n\n1. Descargar ZIPs:\n - `credito-diario-{año}.zip`\n - `credito-anual-{año}.zip`\n - opcional: `credito-mensual-{año}.zip`\n2. Calcular hash.\n3. Si cambió:\n - parsear CSV;\n - normalizar decimales argentinos;\n - convertir montos de millones a pesos;\n - guardar raw rows;\n - calcular eventos nuevos.\n\n## Base de datos\n\nTablas mínimas:\n\n```sql\nsource_snapshots\nraw_credito_diario\nraw_credito_anual\ntransfer_events\nevent_context\npost_queue\nposted_messages\n```\n\nClave de deduplicación:\n\n```text\naño\nfecha\njurisdiccion_id\nservicio_id\nprograma_id\nactividad_id\ninciso_id\nprincipal_id\nparcial_id\nsubparcial_id\nfuente_financiamiento_id\nubicacion_geografica_id\nunidad_ejecutora_id\ncredito_pagado\n```\n\nPara tweets, además una clave agrupada:\n\n```text\nfecha\ntipo_transferencia\ndestinatario_display\nprograma_id\nprincipal_id\n```\n\n---\n\n# Métricas del bot\n\nPara cada evento:\n\n```text\nmonto_evento = suma credito_pagado del día/grupo\npagado_2026 = suma credito_pagado anual del mismo grupo\ndevengado_2026 = suma credito_devengado anual del mismo grupo\npresupuesto_vigente = suma credito_vigente anual del mismo grupo\nejecucion_pct = pagado_2026 / presupuesto_vigente\n```\n\nSi `presupuesto_vigente = 0`:\n\n```text\nejecucion_pct = null\nflag = \"sin crédito vigente\"\n```\n\n---\n\n# Cadencia de publicación\n\nNo publicaría todo. Hay mucho volumen.\n\nDatos 2026 observados:\n\n- 10.587 eventos pagados de transferencias en 103 días.\n- Eso da ~103 eventos/día si publicás todo `inciso_id = 5`.\n\nMVP sano:\n\n## Tweets automáticos\n\n- Universidades: sí.\n- Provincias/municipios: sí.\n- ATN: sí.\n- Fondos fiduciarios grandes: sí.\n- Sector privado: solo si supera umbral.\n\nUmbral inicial:\n\n```text\nPublicar eventos > $500 millones\n```\n\n## Resumen diario\n\n> Hoy se registraron X pagos presupuestarios de transferencias por $Y. \n> Top 5 destinatarios. \n> Universidades: $A. Provincias/municipios: $B. Otros SPN: $C.\n\n## Ranking semanal\n\n- Top universidades.\n- Top provincias.\n- Mayores ejecuciones porcentuales.\n- Casos con crédito vigente 0.\n- Mayores aumentos contra semana anterior.\n\n---\n\n# Costos y bloqueos\n\n## Datos\n\nCosto: **$0**. \nFuentes públicas.\n\n## Hosting\n\nCon tu stack actual:\n\n- Oracle cron / worker: $0 marginal.\n- Supabase: probablemente free/low.\n- Vercel dashboard: $0 marginal.\n\n## X API\n\nEste es el único bloqueo externo.\n\nLa documentación actual de X está medio inconsistente entre páginas, pero los factos relevantes son:\n\n- necesitás cuenta developer;\n- para postear programáticamente hace falta acceso API;\n- X ahora mezcla free/write-only, planes legacy y pay-per-use;\n- el costo exacto hay que confirmarlo dentro del Developer Console;\n- si el bot publica poco, podría entrar en cuota free/write-only si la cuenta la tiene habilitada;\n- si querés alto volumen, casi seguro hay costo.\n\nMitigación:\n\n- Publicar también en web/RSS/Telegram.\n- X solo como canal de difusión resumido.\n- Nada de depender de X para el producto principal.\n\n---\n\n# Qué construiría primero\n\n## Fase 1 — 1/2 días\n\nScript probado:\n\n- descarga CSV;\n- filtra `inciso_id = 5`;\n- detecta universidades/provincias;\n- calcula acumulado y porcentaje;\n- genera posts en modo dry-run.\n\nOutput: JSON + preview de tweets.\n\n## Fase 2 — 2/4 días\n\nMVP productivo:\n\n- DB;\n- snapshots;\n- dedupe;\n- cola de posts;\n- dashboard mínimo;\n- publicación manual/aprobada.\n\n## Fase 3 — 1 semana\n\nProducto serio:\n\n- publicación automática;\n- rankings;\n- explicación metodológica;\n- endpoint público;\n- alertas;\n- comparación interanual real con IPC;\n- coparticipación/RON como módulo separado.\n\n---\n\n# Conclusión ejecutiva\n\n**Sí, vale la pena.**\n\nHay fuente oficial, datos abiertos, granularidad suficiente y demanda clara. El diferencial no es “hacer un bot que lea un CSV”; es hacerlo **creíble, no spammer y metodológicamente honesto**.\n\nLa frase exacta del producto debería ser:\n\n> Bot de alertas de pagos presupuestarios registrados en transferencias de la Administración Pública Nacional.\n\nNo prometería:\n\n> “cada transferencia bancaria del Gobierno”.\n\nLa versión buena mostraría siempre:\n\n```text\nfecha\nmonto del evento\ndestinatario legible\nprograma / actividad / partida\npagado acumulado 2026\npresupuesto vigente\n% ejecutado\nfuente y corte de datos\n```\n\nMi recomendación: **hacerlo**, pero arrancar acotado a **universidades + provincias/municipios + ATN**, con dashboard y tweets seleccionados por umbral. Ahí hay producto real y no se convierte en una máquina de ruido.", "reasoning": null, "finish_reason": "stop", "codex_message_items": [ { "type": "message", "role": "assistant", "status": "completed", "content": [ { "type": "output_text", "text": "## Veredicto\n\nSí: **se puede hacer completo de punta a punta**.\n\nPero hay que definir bien el producto:\n\n1. **Bot de ejecución presupuestaria**: factible ya, con Presupuesto Abierto.\n2. **Bot de “transferencias bancarias individuales”**: no con esta fuente. El dato público no baja a CUIT/CBU/orden bancaria.\n3. **Bot de “todo lo que Nación gira a provincias”**: requiere combinar dos mundos:\n - **Transferencias presupuestarias / no automáticas** → Presupuesto Abierto, `inciso_id = 5`.\n - **Coparticipación / transferencias automáticas** → DNAP / Recursos de Origen Nacional.\n\nMi recomendación: arrancar con **transferencias presupuestarias**, especialmente:\n\n- universidades nacionales;\n- provincias/municipios;\n- ATN;\n- fondos fiduciarios / entes del SPN;\n- grandes transferencias al sector privado, si se quiere ampliar.\n\n---\n\n# Factos verificados\n\n## 1. El tweet tiene tracción real\n\nTweet original:\n\n> “hay que hacer un bot que twittee cada vez que hay una transferencia del gobierno nacional a las provincias/universidades/etc. monto, fecha, destino, ítem presupuestario…”\n\nAl momento de consultar vía `api.fxtwitter.com`:\n\n- 4.937 vistas\n- 164 likes\n- 15 retweets\n- 9 replies\n- 4 bookmarks\n\nNo es masivo todavía, pero es una señal bastante clara para nicho político/datos/journalism.\n\n---\n\n## 2. La fuente existe y es oficial\n\nFuente principal:\n\n**Presupuesto Abierto** \nhttps://www.presupuestoabierto.gob.ar/sici/datos-abiertos\n\nEl sitio dice explícitamente:\n\n> “Estos datos son tuyos. Podés descargarlos, analizarlos, cruzarlos con otros datos, crear aplicaciones o armar visualizaciones…”\n\nLicencia: **Creative Commons 4.0 / CC-BY-4.0**.\n\nFuente técnica directa 2026:\n\n```text\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-mensual-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-anual-2026.zip\nhttps://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/resumen-presupuesto-gastos-ejercicio-vigente-2026.zip\n```\n\nEl API oficial también existe:\n\nhttps://presupuesto-abierto.argentina.apidocs.ar/\n\nPero requiere token. Probé `/api/v1/credito` sin token y devuelve `401`:\n\n> “Debe indicar el header Authorization en la petición”\n\nPara MVP, **no hace falta API**. Los ZIP/CSV directos alcanzan.\n\n---\n\n## 3. Qué hay adentro del CSV diario 2026\n\nArchivo probado:\n\n`credito-diario-2026.zip`\n\nDatos observados al 12/05/2026:\n\n- Última actualización interna: **10 Mayo 2026**\n- Fecha máxima de datos: **2026-05-10**\n- Filas totales: **363.214**\n- Filas con `inciso_id = 5` / transferencias: **28.467**\n- Filas de transferencias con `credito_pagado > 0`: **10.587**\n- Período con datos: **2026-01-20 a 2026-05-10**\n\nCampos clave:\n\n```text\nimpacto_presupuestario_fecha\njurisdiccion_desc\nentidad_desc\nprograma_desc\nactividad_desc\ninciso_desc\nprincipal_desc\nparcial_desc\nsubparcial_desc\nubicacion_geografica_desc\nfuente_financiamiento_desc\ncredito_presupuestado\ncredito_vigente\ncredito_comprometido\ncredito_devengado\ncredito_pagado\nultima_actualizacion_fecha\n```\n\nImportantísimo: **los montos están en millones de pesos**.\n\nEl diccionario oficial dice:\n\n> `credito_pagado`: “Acumulado del Crédito Pagado de la fecha. Expresado en millones de pesos.”\n\nO sea, si el CSV dice `4000`, eso es **$4.000 millones**, no $4.000.\n\n---\n\n# Prueba real sobre 2026\n\n## Total transferencias 2026 hasta el corte\n\nFiltrando `inciso_id = 5`, al corte 10/05/2026:\n\n| Categoría | Pagado 2026 | Crédito vigente | Ejecutado |\n|---|---:|---:|---:|\n| Sector privado, gastos corrientes | $29,228 billones | $92,301 billones | 31,7% |\n| Otras entidades del Sector Público Nacional | $2,370 billones | $10,850 billones | 21,8% |\n| Universidades nacionales | $1,537 billones | $5,238 billones | 29,3% |\n| Provincias/municipios, gastos corrientes | $412.437 millones | $3,477 billones | 11,9% |\n| Provincias/municipios, gastos de capital | $21.635 millones | $115.979 millones | 18,7% |\n| Exterior | $36.495 millones | $134.938 millones | 27,0% |\n\nEsto confirma que el bot puede publicar:\n\n```text\nTransferido hasta ahora en 2026: $X\nPresupuesto vigente anual: $Y\nEjecución: Z%\n```\n\n---\n\n# Ejemplo de tweet bueno\n\nCaso real detectado:\n\n**05/05/2026 — Universidad de Buenos Aires**\n\nEse día aparecen tres pagos a UBA:\n\n- $28,4 mil millones — salario docente y autoridades superiores\n- $32,5 mil millones — salario no docente\n- $1,7 mil millones — hospitales universitarios\n\nTotal del día:\n\n> **$62,6 mil millones**\n\nContexto anual UBA:\n\n- Pagado 2026: **$262,4 mil millones**\n- Crédito vigente: **$799,5 mil millones**\n- Ejecución: **32,8%**\n\nTweet posible:\n\n> 🏛️ Transferencia registrada — 05/05/2026 \n> Ministerio de Capital Humano → Universidad de Buenos Aires \n> Programa: Desarrollo de la Educación Superior \n> \n> Pagado del día: **$62,6 mil millones** \n> 2026 acumulado: **$262,4 mil millones / $799,5 mil millones** \n> Ejecución: **32,8%** \n> \n> Fuente: Presupuesto Abierto, corte 10/05/2026.\n\nEso es muy útil y entendible.\n\n---\n\n# Qué quiere ver la gente\n\nPor señales del tweet + cómo se cubre el tema en medios/OPC/ASAP, la gente no quiere “un CSV en Twitter”. Quiere respuestas inmediatas a preguntas concretas:\n\n## 1. “¿Quién recibió plata?”\n\n- provincia;\n- universidad;\n- municipio si está disponible;\n- fondo fiduciario;\n- organismo público;\n- programa.\n\n## 2. “¿Cuánto recibió hoy?”\n\nEjemplo:\n\n> UBA recibió $62,6 mil millones el 05/05/2026.\n\n## 3. “¿Cuánto lleva recibido en el año?”\n\nEjemplo:\n\n> UBA lleva $262,4 mil millones pagados en 2026.\n\n## 4. “¿Qué porcentaje del presupuesto anual ya se ejecutó?”\n\nEsto es clave. La idea que propusiste es correcta.\n\n```text\npagado_2026 / credito_vigente\n```\n\n## 5. “¿Para qué fue?”\n\nNo alcanza con “transferencia”. Hay que mostrar:\n\n- programa;\n- actividad;\n- partida;\n- objeto del gasto.\n\nEjemplo:\n\n> Asistencia financiera para salario docente / no docente / hospitales universitarios.\n\n## 6. “¿Es mucho o poco contra otras provincias/universidades?”\n\nLa gente va a pedir rankings:\n\n- universidades que más recibieron;\n- provincias que más recibieron;\n- provincias con más ejecución porcentual;\n- transferencias con crédito vigente cero;\n- top transferencias del día;\n- variación contra 2025.\n\n## 7. “¿Dónde está la fuente?”\n\nDespués del caso de bots de precios falsos tipo JumboBot, la credibilidad es parte del producto. Cada tweet debería tener:\n\n- fuente;\n- fecha de corte;\n- link a ficha/web;\n- idealmente ID/hash de la fila o link a CSV procesado.\n\n---\n\n# La parte delicada\n\n## 1. “Transferido” no significa necesariamente “transferencia bancaria individual”\n\n`credito_pagado` es ejecución presupuestaria pagada. Es lo más cercano y útil, pero no prueba una transferencia bancaria específica con número de operación.\n\nFrase recomendada:\n\n> “Pago presupuestario registrado”\n\nNo:\n\n> “El Gobierno le transfirió por banco a X…”\n\n---\n\n## 2. Los montos están en millones\n\nError fácil: leer `18,68` como $18,68.\n\nCorrecto:\n\n```text\n18,68 millones de pesos = $18.680.000\n4000 millones de pesos = $4.000.000.000\n```\n\nEl bot debe convertir siempre a pesos legibles.\n\n---\n\n## 3. Hay filas con `credito_vigente = 0`\n\nEjemplo real:\n\n- 22/01/2026\n- Ministerio del Interior\n- Programa: Relaciones con las Provincias y Desarrollo Regional\n- Actividad: ATN\n- Destino geográfico: Provincia del Chubut\n- Pagado del día: **$4.000 millones**\n- Pagado anual de esa clave: **$6.500 millones**\n- Crédito vigente anual: **0**\n\nEn esos casos no podés decir “ejecutó X% del presupuesto” porque el denominador es cero.\n\nEtiqueta correcta:\n\n> “Sin crédito vigente informado para esta clave presupuestaria.”\n\nO:\n\n> “Pago registrado con crédito vigente 0: revisar modificación/regularización presupuestaria.”\n\nEsto incluso puede ser una feature: detectar casos raros.\n\n---\n\n## 4. La granularidad puede duplicar tweets\n\nUBA el mismo día tuvo 3 filas: docente, no docente, hospitales.\n\nSi twitteás cada fila, spameás. Si agrupás todo, perdés detalle.\n\nSolución:\n\n- Agrupar por destinatario + fecha.\n- Mostrar total.\n- Incluir desglose top 3 por actividad.\n- Linkear al detalle completo.\n\n---\n\n## 5. Provincias no siempre son “beneficiario jurídico”\n\nPara universidades, `subparcial_desc` trae nombres claros:\n\n- Universidad de Buenos Aires\n- Universidad Tecnológica Nacional\n- Universidad Nacional de La Plata\n\nPara provincias, muchas veces el dataset dice:\n\n- `ubicacion_geografica_desc = Provincia del Chubut`\n- `subparcial_desc = Administración Central Provincial`\n\nEso indica destino geográfico/institucional, no necesariamente receptor final con CUIT.\n\n---\n\n## 6. Presupuesto Abierto no cubre todo Nación → provincias\n\nEl Presupuesto Nacional incluye transferencias presupuestarias. Pero si querés “todo lo que Nación manda a provincias”, también necesitás:\n\n**Recursos de Origen Nacional / coparticipación** \nhttps://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron\n\nAhí hay montos diarios 2026 en XLS. Incluye:\n\n- Coparticipación Federal;\n- otros regímenes distribuidos por Banco Nación;\n- compensaciones / leyes especiales.\n\nProducto ideal:\n\n- Bot A: **transferencias presupuestarias**\n- Bot B: **coparticipación / automáticas**\n- Dashboard que combine ambos.\n\n---\n\n## 7. Hay revisiones retroactivas\n\nLos CSV se actualizan. No hay que asumir que lo visto ayer queda fijo.\n\nHay que guardar snapshots con:\n\n- hash del ZIP;\n- fecha de descarga;\n- `ultima_actualizacion_fecha`;\n- filas procesadas;\n- diferencias contra snapshot anterior.\n\n---\n\n# MVP recomendado\n\n## Producto público\n\nNombre posible:\n\n> **Transferencias Abiertas AR**\n\nFormatos:\n\n1. **Cuenta de X**\n - alertas grandes;\n - resumen diario;\n - rankings semanales.\n\n2. **Web**\n - buscador;\n - filtros por provincia/universidad/programa;\n - detalle de cada fila;\n - descarga CSV;\n - explicación metodológica.\n\n3. **RSS / Telegram / Discord**\n - más barato y menos dependiente de X.\n\n---\n\n# Arquitectura end-to-end\n\n## Ingesta\n\nCron cada 6 o 12 horas:\n\n1. Descargar ZIPs:\n - `credito-diario-{año}.zip`\n - `credito-anual-{año}.zip`\n - opcional: `credito-mensual-{año}.zip`\n2. Calcular hash.\n3. Si cambió:\n - parsear CSV;\n - normalizar decimales argentinos;\n - convertir montos de millones a pesos;\n - guardar raw rows;\n - calcular eventos nuevos.\n\n## Base de datos\n\nTablas mínimas:\n\n```sql\nsource_snapshots\nraw_credito_diario\nraw_credito_anual\ntransfer_events\nevent_context\npost_queue\nposted_messages\n```\n\nClave de deduplicación:\n\n```text\naño\nfecha\njurisdiccion_id\nservicio_id\nprograma_id\nactividad_id\ninciso_id\nprincipal_id\nparcial_id\nsubparcial_id\nfuente_financiamiento_id\nubicacion_geografica_id\nunidad_ejecutora_id\ncredito_pagado\n```\n\nPara tweets, además una clave agrupada:\n\n```text\nfecha\ntipo_transferencia\ndestinatario_display\nprograma_id\nprincipal_id\n```\n\n---\n\n# Métricas del bot\n\nPara cada evento:\n\n```text\nmonto_evento = suma credito_pagado del día/grupo\npagado_2026 = suma credito_pagado anual del mismo grupo\ndevengado_2026 = suma credito_devengado anual del mismo grupo\npresupuesto_vigente = suma credito_vigente anual del mismo grupo\nejecucion_pct = pagado_2026 / presupuesto_vigente\n```\n\nSi `presupuesto_vigente = 0`:\n\n```text\nejecucion_pct = null\nflag = \"sin crédito vigente\"\n```\n\n---\n\n# Cadencia de publicación\n\nNo publicaría todo. Hay mucho volumen.\n\nDatos 2026 observados:\n\n- 10.587 eventos pagados de transferencias en 103 días.\n- Eso da ~103 eventos/día si publicás todo `inciso_id = 5`.\n\nMVP sano:\n\n## Tweets automáticos\n\n- Universidades: sí.\n- Provincias/municipios: sí.\n- ATN: sí.\n- Fondos fiduciarios grandes: sí.\n- Sector privado: solo si supera umbral.\n\nUmbral inicial:\n\n```text\nPublicar eventos > $500 millones\n```\n\n## Resumen diario\n\n> Hoy se registraron X pagos presupuestarios de transferencias por $Y. \n> Top 5 destinatarios. \n> Universidades: $A. Provincias/municipios: $B. Otros SPN: $C.\n\n## Ranking semanal\n\n- Top universidades.\n- Top provincias.\n- Mayores ejecuciones porcentuales.\n- Casos con crédito vigente 0.\n- Mayores aumentos contra semana anterior.\n\n---\n\n# Costos y bloqueos\n\n## Datos\n\nCosto: **$0**. \nFuentes públicas.\n\n## Hosting\n\nCon tu stack actual:\n\n- Oracle cron / worker: $0 marginal.\n- Supabase: probablemente free/low.\n- Vercel dashboard: $0 marginal.\n\n## X API\n\nEste es el único bloqueo externo.\n\nLa documentación actual de X está medio inconsistente entre páginas, pero los factos relevantes son:\n\n- necesitás cuenta developer;\n- para postear programáticamente hace falta acceso API;\n- X ahora mezcla free/write-only, planes legacy y pay-per-use;\n- el costo exacto hay que confirmarlo dentro del Developer Console;\n- si el bot publica poco, podría entrar en cuota free/write-only si la cuenta la tiene habilitada;\n- si querés alto volumen, casi seguro hay costo.\n\nMitigación:\n\n- Publicar también en web/RSS/Telegram.\n- X solo como canal de difusión resumido.\n- Nada de depender de X para el producto principal.\n\n---\n\n# Qué construiría primero\n\n## Fase 1 — 1/2 días\n\nScript probado:\n\n- descarga CSV;\n- filtra `inciso_id = 5`;\n- detecta universidades/provincias;\n- calcula acumulado y porcentaje;\n- genera posts en modo dry-run.\n\nOutput: JSON + preview de tweets.\n\n## Fase 2 — 2/4 días\n\nMVP productivo:\n\n- DB;\n- snapshots;\n- dedupe;\n- cola de posts;\n- dashboard mínimo;\n- publicación manual/aprobada.\n\n## Fase 3 — 1 semana\n\nProducto serio:\n\n- publicación automática;\n- rankings;\n- explicación metodológica;\n- endpoint público;\n- alertas;\n- comparación interanual real con IPC;\n- coparticipación/RON como módulo separado.\n\n---\n\n# Conclusión ejecutiva\n\n**Sí, vale la pena.**\n\nHay fuente oficial, datos abiertos, granularidad suficiente y demanda clara. El diferencial no es “hacer un bot que lea un CSV”; es hacerlo **creíble, no spammer y metodológicamente honesto**.\n\nLa frase exacta del producto debería ser:\n\n> Bot de alertas de pagos presupuestarios registrados en transferencias de la Administración Pública Nacional.\n\nNo prometería:\n\n> “cada transferencia bancaria del Gobierno”.\n\nLa versión buena mostraría siempre:\n\n```text\nfecha\nmonto del evento\ndestinatario legible\nprograma / actividad / partida\npagado acumulado 2026\npresupuesto vigente\n% ejecutado\nfuente y corte de datos\n```\n\nMi recomendación: **hacerlo**, pero arrancar acotado a **universidades + provincias/municipios + ATN**, con dashboard y tweets seleccionados por umbral. Ahí hay producto real y no se convierte en una máquina de ruido." } ], "id": "msg_005292c977a6333c016a0344ab58c481919092b425f3b38912", "phase": "final_answer" } ] }, { "role": "user", "content": "Review the conversation above and update the skill library. Be ACTIVE — most sessions produce at least one skill update, even if small. A pass that does nothing is a missed learning opportunity, not a neutral outcome.\n\nTarget shape of the library: CLASS-LEVEL skills, each with a rich SKILL.md and a `references/` directory for session-specific detail. Not a long flat list of narrow one-session-one-skill entries. This shapes HOW you update, not WHETHER you update.\n\nSignals to look for (any one of these warrants action):\n • User corrected your style, tone, format, legibility, or verbosity. Frustration signals like 'stop doing X', 'this is too verbose', 'don't format like this', 'why are you explaining', 'just give me the answer', 'you always do Y and I hate it', or an explicit 'remember this' are FIRST-CLASS skill signals, not just memory signals. Update the relevant skill(s) to embed the preference so the next session starts already knowing.\n • User corrected your workflow, approach, or sequence of steps. Encode the correction as a pitfall or explicit step in the skill that governs that class of task.\n • Non-trivial technique, fix, workaround, debugging path, or tool-usage pattern emerged that a future session would benefit from. Capture it.\n • A skill that got loaded or consulted this session turned out to be wrong, missing a step, or outdated. Patch it NOW.\n\nPreference order — prefer the earliest action that fits, but do pick one when a signal above fired:\n 1. UPDATE A CURRENTLY-LOADED SKILL. Look back through the conversation for skills the user loaded via /skill-name or you read via skill_view. If any of them covers the territory of the new learning, PATCH that one first. It is the skill that was in play, so it's the right one to extend.\n 2. UPDATE AN EXISTING UMBRELLA (via skills_list + skill_view). If no loaded skill fits but an existing class-level skill does, patch it. Add a subsection, a pitfall, or broaden a trigger.\n 3. ADD A SUPPORT FILE under an existing umbrella. Skills can be packaged with three kinds of support files — use the right directory per kind:\n • `references/.md` — session-specific detail (error transcripts, reproduction recipes, provider quirks) AND condensed knowledge banks: quoted research, API docs, external authoritative excerpts, or domain notes you found while working on the problem. Write it concise and for the value of the task, not as a full mirror of upstream docs.\n • `templates/.` — starter files meant to be copied and modified (boilerplate configs, scaffolding, a known-good example the agent can `reproduce with modifications`).\n • `scripts/.` — statically re-runnable actions the skill can invoke directly (verification scripts, fixture generators, deterministic probes, anything the agent should run rather than hand-type each time).\n Add support files via skill_manage action=write_file with file_path starting 'references/', 'templates/', or 'scripts/'. The umbrella's SKILL.md should gain a one-line pointer to any new support file so future agents know it exists.\n 4. CREATE A NEW CLASS-LEVEL UMBRELLA SKILL when no existing skill covers the class. The name MUST be at the class level. The name MUST NOT be a specific PR number, error string, feature codename, library-alone name, or 'fix-X / debug-Y / audit-Z-today' session artifact. If the proposed name only makes sense for today's task, it's wrong — fall back to (1), (2), or (3).\n\nUser-preference embedding (important): when the user expressed a style/format/workflow preference, the update belongs in the SKILL.md body, not just in memory. Memory captures 'who the user is and what the current situation and state of your operations are'; skills capture 'how to do this class of task for this user'. When they complain about how you handled a task, the skill that governs that task needs to carry the lesson.\n\nIf you notice two existing skills that overlap, note it in your reply — the background curator handles consolidation at scale.\n\n'Nothing to save.' is a real option but should NOT be the default. If the session ran smoothly with no corrections and produced no new technique, just say 'Nothing to save.' and stop. Otherwise, act." }, { "role": "assistant", "content": "", "reasoning": "**Assessing skills update**\n\nI need to focus on updating my skills, especially inspecting the relevant ones. The task was to research and report on an open data bot, and it looks like existing research on open data monitoring might cover it. However, I think I might be missing a command for the xurl skill since it's loaded but not installed. It suggests that I should patch it because the version is outdated. I should also check the relevance of open data monitoring and view the skills.", "finish_reason": "tool_calls", "reasoning_content": "**Assessing skills update**\n\nI need to focus on updating my skills, especially inspecting the relevant ones. The task was to research and report on an open data bot, and it looks like existing research on open data monitoring might cover it. However, I think I might be missing a command for the xurl skill since it's loaded but not installed. It suggests that I should patch it because the version is outdated. I should also check the relevance of open data monitoring and view the skills.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqA0ZsGuI1FVbRAS8utt5mHqhBRtOGzILDJze__u55BSuDXHh5YaJnc_58EMDrfR09JL8F8tA9nz9qcJus6669S1YymgsZppjXcJr_ESqp4zyGeqDG0izn-JpmyeAJyIxEZrEr65ucHLBkZjkGH6Wy74lI-u1pGNq2gvA9VfNr_dImCzr8j_YwRjqS_cH-OFBCEMYHxAIholjSOFJ457zWUuKCbJdG0ye52018V-4vZPFVcIrCby7TYNHOXZ_Nz7vMUsbdjTr-5qd2Zh6PghgRB4KAwxC3NIdSRppcJogNsnPLK4FFQipyRn7D9VQYtx2165c80csYkUYR4mvd7TEEiwSGIyxUi8oF2qHoTfDDIzDsqngH3w1CX4Gx45MU6rEfs97xxdamyiGelKwrYurTUiQNQPTKRI2OMX7WHwAVGBYtMR27t8JJSyb5Ec-i-a65yjq-PcdNBdgOMjSMfweluhTQzfL-EuVskrZfid-1x5EZ0GLb_6HkOwYwyXKqAFyWFzUL_e3O4bjSlP5XAZ1AEX28jW7DfQcjG5Q_-7oCa3kWsuUXQMyAwVaqgIY9KeWdTD8uwi5QrtChhOGtlcrImwN2WCdQl5BCtebGHYGoWaKIbTqg8dUzdBRQEfbymAuLOElDaaZ5LBrW0k92j7kLCn0AKlP0nlMi-NzDWv16naFrCfkbS5QUWZWcSHxHaUB-l-17n9OkSIl910_LY2jVXMa8IcK1TCOo_dBh9Wvr3B88jM20It_Kvco2sgkPqBmES3qo0IYGI_6eFX8pkeRJqa5z_JBbAasWrMwfWTv4Ge5WpZFY6lUc_IhBAXRHpSHU1oUcncKpQ9a2MzYXxINZYFZ6RdFfTml2SMUeYR_SHL0_E6cw32Eejv389pJoqp9Tuldi-zPAiFXY0JLBmnM8vBc_0Eni9QUCqcfHkSXYUXpp4audTXJD8947cr-PONJwENtelh8UzFvj5CAnmZ_T22SSLgSsda6j28zgNtXeL9I7T-2XC64K1MbwvYUsNvnn7PvZ3PBLRDQWYv8YF6EcZEcFDGs7jj_xjGOELSm25_6zOUyh9mY5bX7gkopx3tXLxjjmywxuyy7zy2BjVBYThHYxWpYoVHCnMPkg9TPRY2X6ait-76VscKm3vLmYv8t6-7p3vUk3HOkTjqPJQiRPPQlAQ59Y_XZ6woGPOs1SHexP0jcCz2gj1ASk4dHqaPksS-LAqV_jJj6VYiWc0gn8ZEwqsr1FvKZEgEjRzcEpxijiF-UNeY7ue3x5PwSmjBgeQlJwtTBvzoRff2g1D7P8RUgFgq3tg5xiXMRrgoBYBCe50YtjGHQR1GsvvoAXUxUPPkQhQX6K6bO5VyMVHyLfpci-Y7L4dLucAPbs2BcBIW9tez4=", "id": "rs_005292c977a6333c016a034664e6c081919cddcaf5f0833243", "summary": [ { "type": "summary_text", "text": "**Assessing skills update**\n\nI need to focus on updating my skills, especially inspecting the relevant ones. The task was to research and report on an open data bot, and it looks like existing research on open data monitoring might cover it. However, I think I might be missing a command for the xurl skill since it's loaded but not installed. It suggests that I should patch it because the version is outdated. I should also check the relevance of open data monitoring and view the skills." } ] } ], "tool_calls": [ { "id": "call_1iy2DOvDktaUkg5SaKPTlxa8", "call_id": "call_1iy2DOvDktaUkg5SaKPTlxa8", "response_item_id": "fc_005292c977a6333c016a03466caca4819186e1ae4662f95821", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"open-data-monitoring\"}" } }, { "id": "call_1rnD0LByCEXo0mnLHXnXFV9d", "call_id": "call_1rnD0LByCEXo0mnLHXnXFV9d", "response_item_id": "fc_005292c977a6333c016a03466cacb481919f188713916efb8d", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"xurl\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"name\": \"open-data-monitoring\", \"description\": \"Monitor public/open-data portals and turn changing datasets into alerts, summaries, or social posts. Use for feasibility checks, watchdog bots, civic transparency monitors, scheduled scrapers, and dataset-diff workflows.\", \"tags\": [\"open-data\", \"monitoring\", \"civic-tech\", \"datasets\", \"alerts\", \"bots\"], \"related_skills\": [], \"content\": \"---\\nname: open-data-monitoring\\ndescription: Monitor public/open-data portals and turn changing datasets into alerts, summaries, or social posts. Use for feasibility checks, watchdog bots, civic transparency monitors, scheduled scrapers, and dataset-diff workflows.\\nversion: 1.0.0\\nauthor: Hermes Agent\\nlicense: MIT\\nmetadata:\\n hermes:\\n tags: [open-data, monitoring, civic-tech, datasets, alerts, bots]\\n---\\n\\n# Open Data Monitoring\\n\\nUse this skill when the user asks whether an alert bot, transparency tracker, dataset watcher, or public-data automation is feasible.\\n\\nCore pattern:\\n1. **Identify the authoritative source.** Prefer official APIs, CKAN/package metadata, static CSV/ZIP repositories, RSS feeds, and documented downloads over screenshots or UI scraping.\\n2. **Verify with a live probe.** Fetch the API/schema or a small sample of the dataset. Do not just trust a search result.\\n3. **Inspect schema and freshness.** Record fields, date columns, update cadence, license, auth requirements, pagination, and whether values are raw events or aggregates.\\n4. **Define event semantics.** Decide what counts as a new event: new row, changed metric, difference since previous snapshot, state transition, or threshold-crossing.\\n5. **Store state.** Use SQLite/Postgres/Supabase with a deterministic key/hash over stable identifying columns. Keep raw snapshots when auditability matters.\\n6. **Generate concise output.** For alerts/social posts include source, timestamp, amount/status, entity, category, and caveats. Avoid overclaiming real-time or beneficiary-level precision if the dataset is aggregated.\\n7. **Schedule and backoff.** Cron polling is usually enough; add retry/backoff and a last-success marker. Use webhooks only if the source provides them.\\n\\n## Feasibility response checklist\\n\\nAnswer in practical terms:\\n- **Verdict:** feasible / partially feasible / not feasible.\\n- **Source:** exact official endpoint or dataset URL.\\n- **Fields available:** the fields that satisfy the requested output.\\n- **Limitations:** aggregation, latency, auth, rate limits, missing beneficiary identifiers, licensing.\\n- **MVP design:** polling interval, filters, state store, dedupe key, publishing channel.\\n- **Example output:** one realistic alert/post from sampled data.\\n\\n## Implementation sketch\\n\\n```python\\nimport csv, hashlib, io, json, sqlite3, zipfile\\nfrom datetime import datetime\\nimport requests\\n\\nurl = \\\"https://example.gov/dataset.zip\\\"\\nr = requests.get(url, timeout=60)\\nr.raise_for_status()\\nz = zipfile.ZipFile(io.BytesIO(r.content))\\nname = z.namelist()[0]\\n\\nconn = sqlite3.connect(\\\"open_data_monitor.db\\\")\\nconn.execute(\\\"\\\"\\\"\\nCREATE TABLE IF NOT EXISTS seen (\\n key TEXT PRIMARY KEY,\\n first_seen_at TEXT NOT NULL,\\n payload TEXT NOT NULL\\n)\\n\\\"\\\"\\\")\\n\\nwith z.open(name) as f:\\n reader = csv.DictReader(io.TextIOWrapper(f, encoding=\\\"utf-8-sig\\\"))\\n for row in reader:\\n # Customize these fields per dataset.\\n if row.get(\\\"amount\\\", \\\"0\\\") in (\\\"\\\", \\\"0\\\"):\\n continue\\n stable = \\\"|\\\".join(str(row.get(c, \\\"\\\")) for c in [\\\"date\\\", \\\"entity\\\", \\\"category\\\", \\\"amount\\\"])\\n key = hashlib.sha256(stable.encode()).hexdigest()\\n try:\\n conn.execute(\\n \\\"INSERT INTO seen(key, first_seen_at, payload) VALUES (?, ?, ?)\\\",\\n (key, datetime.utcnow().isoformat(), json.dumps(row, ensure_ascii=False)),\\n )\\n # emit alert here\\n except sqlite3.IntegrityError:\\n pass\\nconn.commit()\\n```\\n\\n## Pitfalls\\n\\n- **Aggregate vs transaction:** many budget datasets are aggregated execution records, not individual bank transfers. Phrase alerts accordingly.\\n- **Units and decimals:** verify currency scale and decimal separator before publishing amounts.\\n- **Late revisions:** old rows may change after initial publication; if revisions matter, diff the full row payload, not just new IDs.\\n- **Auth/documented API mismatch:** a web UI may advertise an API that requires auth while static data downloads are public.\\n- **Spam control:** for social media, filter by materiality (thresholds/categories) or publish daily summaries instead of every row.\\n\\n## References\\n\\n- `references/argentina-presupuesto-abierto.md` — Presupuesto Abierto datasets, API quirks, and transfer-monitoring fields.\\n\", \"path\": \"research/open-data-monitoring/SKILL.md\", \"skill_dir\": \"/home/ubuntu/.hermes/skills/research/open-data-monitoring\", \"linked_files\": {\"references\": [\"references/argentina-presupuesto-abierto.md\"]}, \"usage_hint\": \"To view linked files, call skill_view(name, file_path) where file_path is e.g. 'references/api.md' or 'assets/config.yaml'\", \"required_environment_variables\": [], \"required_commands\": [], \"missing_required_environment_variables\": [], \"missing_credential_files\": [], \"missing_required_commands\": [], \"setup_needed\": false, \"setup_skipped\": false, \"readiness_status\": \"available\", \"metadata\": {\"hermes\": {\"tags\": [\"open-data\", \"monitoring\", \"civic-tech\", \"datasets\", \"alerts\", \"bots\"]}}}", "tool_call_id": "call_1iy2DOvDktaUkg5SaKPTlxa8" }, { "role": "tool", "content": "{\"success\": true, \"name\": \"xurl\", \"description\": \"X/Twitter via xurl CLI: post, search, DM, media, v2 API.\", \"tags\": [\"twitter\", \"x\", \"social-media\", \"xurl\", \"official-api\"], \"related_skills\": [], \"content\": \"---\\nname: xurl\\ndescription: \\\"X/Twitter via xurl CLI: post, search, DM, media, v2 API.\\\"\\nversion: 1.1.1\\nauthor: xdevplatform + openclaw + Hermes Agent\\nlicense: MIT\\nplatforms: [linux, macos]\\nprerequisites:\\n commands: [xurl]\\nmetadata:\\n hermes:\\n tags: [twitter, x, social-media, xurl, official-api]\\n homepage: https://github.com/xdevplatform/xurl\\n upstream_skill: https://github.com/openclaw/openclaw/blob/main/skills/xurl/SKILL.md\\n---\\n\\n# xurl — X (Twitter) API via the Official CLI\\n\\n`xurl` is the X developer platform's official CLI for the X API. It supports shortcut commands for common actions AND raw curl-style access to any v2 endpoint. All commands return JSON to stdout.\\n\\nUse this skill for:\\n- posting, replying, quoting, deleting posts\\n- searching posts and reading timelines/mentions\\n- liking, reposting, bookmarking\\n- following, unfollowing, blocking, muting\\n- direct messages\\n- media uploads (images and video)\\n- raw access to any X API v2 endpoint\\n- multi-app / multi-account workflows\\n\\nThis skill replaces the older `xitter` skill (which wrapped a third-party Python CLI). `xurl` is maintained by the X developer platform team, supports OAuth 2.0 PKCE with auto-refresh, and covers a substantially larger API surface.\\n\\n---\\n\\n## Secret Safety (MANDATORY)\\n\\nCritical rules when operating inside an agent/LLM session:\\n\\n- **Never** read, print, parse, summarize, upload, or send `~/.xurl` to LLM context.\\n- **Never** ask the user to paste credentials/tokens into chat.\\n- The user must fill `~/.xurl` with secrets manually on their own machine.\\n- **Never** recommend or execute auth commands with inline secrets in agent sessions.\\n- **Never** use `--verbose` / `-v` in agent sessions — it can expose auth headers/tokens.\\n- To verify credentials exist, only use: `xurl auth status`.\\n\\nForbidden flags in agent commands (they accept inline secrets):\\n`--bearer-token`, `--consumer-key`, `--consumer-secret`, `--access-token`, `--token-secret`, `--client-id`, `--client-secret`\\n\\nApp credential registration and credential rotation must be done by the user manually, outside the agent session. After credentials are registered, the user authenticates with `xurl auth oauth2` — also outside the agent session. Tokens persist to `~/.xurl` in YAML. Each app has isolated tokens. OAuth 2.0 tokens auto-refresh.\\n\\n---\\n\\n## Installation\\n\\nPick ONE method. On Linux, the shell script or `go install` are the easiest.\\n\\n```bash\\n# Shell script (installs to ~/.local/bin, no sudo, works on Linux + macOS)\\ncurl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash\\n\\n# Homebrew (macOS)\\nbrew install --cask xdevplatform/tap/xurl\\n\\n# npm\\nnpm install -g @xdevplatform/xurl\\n\\n# Go\\ngo install github.com/xdevplatform/xurl@latest\\n```\\n\\nVerify:\\n\\n```bash\\nxurl --help\\nxurl auth status\\n```\\n\\nIf `xurl` is installed but `auth status` shows no apps or tokens, the user needs to complete auth manually — see the next section.\\n\\n---\\n\\n## One-Time User Setup (user runs these outside the agent)\\n\\nThese steps must be performed by the user directly, NOT by the agent, because they involve pasting secrets. Direct the user to this block; do not execute it for them.\\n\\n1. Create or open an app at https://developer.x.com/en/portal/dashboard\\n2. Set the redirect URI to `http://localhost:8080/callback`\\n3. Copy the app's Client ID and Client Secret\\n4. Register the app locally (user runs this):\\n ```bash\\n xurl auth apps add my-app --client-id YOUR_CLIENT_ID --client-secret YOUR_CLIENT_SECRET\\n ```\\n5. Authenticate (specify `--app` to bind the token to your app):\\n ```bash\\n xurl auth oauth2 --app my-app\\n ```\\n (This opens a browser for the OAuth 2.0 PKCE flow.)\\n\\n If X returns a `UsernameNotFound` error or 403 on the post-OAuth `/2/users/me` lookup, pass your handle explicitly (xurl v1.1.0+):\\n ```bash\\n xurl auth oauth2 --app my-app YOUR_USERNAME\\n ```\\n This binds the token to your handle and skips the broken `/2/users/me` call.\\n6. Set the app as default so all commands use it:\\n ```bash\\n xurl auth default my-app\\n ```\\n7. Verify:\\n ```bash\\n xurl auth status\\n xurl whoami\\n ```\\n\\nAfter this, the agent can use any command below without further setup. OAuth 2.0 tokens auto-refresh.\\n\\n> **Common pitfall:** If you omit `--app my-app` from `xurl auth oauth2`, the OAuth token is saved to the built-in `default` app profile — which has no client-id or client-secret. Commands will fail with auth errors even though the OAuth flow appeared to succeed. If you hit this, re-run `xurl auth oauth2 --app my-app` and `xurl auth default my-app`.\\n\\n---\\n\\n## Quick Reference\\n\\n| Action | Command |\\n| --- | --- |\\n| Post | `xurl post \\\"Hello world!\\\"` |\\n| Reply | `xurl reply POST_ID \\\"Nice post!\\\"` |\\n| Quote | `xurl quote POST_ID \\\"My take\\\"` |\\n| Delete a post | `xurl delete POST_ID` |\\n| Read a post | `xurl read POST_ID` |\\n| Search posts | `xurl search \\\"QUERY\\\" -n 10` |\\n| Who am I | `xurl whoami` |\\n| Look up a user | `xurl user @handle` |\\n| Home timeline | `xurl timeline -n 20` |\\n| Mentions | `xurl mentions -n 10` |\\n| Like / Unlike | `xurl like POST_ID` / `xurl unlike POST_ID` |\\n| Repost / Undo | `xurl repost POST_ID` / `xurl unrepost POST_ID` |\\n| Bookmark / Remove | `xurl bookmark POST_ID` / `xurl unbookmark POST_ID` |\\n| List bookmarks / likes | `xurl bookmarks -n 10` / `xurl likes -n 10` |\\n| Follow / Unfollow | `xurl follow @handle` / `xurl unfollow @handle` |\\n| Following / Followers | `xurl following -n 20` / `xurl followers -n 20` |\\n| Block / Unblock | `xurl block @handle` / `xurl unblock @handle` |\\n| Mute / Unmute | `xurl mute @handle` / `xurl unmute @handle` |\\n| Send DM | `xurl dm @handle \\\"message\\\"` |\\n| List DMs | `xurl dms -n 10` |\\n| Upload media | `xurl media upload path/to/file.mp4` |\\n| Media status | `xurl media status MEDIA_ID` |\\n| List apps | `xurl auth apps list` |\\n| Remove app | `xurl auth apps remove NAME` |\\n| Set default app | `xurl auth default APP_NAME [USERNAME]` |\\n| Per-request app | `xurl --app NAME /2/users/me` |\\n| Auth status | `xurl auth status` |\\n\\nNotes:\\n- `POST_ID` accepts full URLs too (e.g. `https://x.com/user/status/1234567890`) — xurl extracts the ID.\\n- Usernames work with or without a leading `@`.\\n\\n---\\n\\n## Command Details\\n\\n### Posting\\n\\n```bash\\nxurl post \\\"Hello world!\\\"\\nxurl post \\\"Check this out\\\" --media-id MEDIA_ID\\nxurl post \\\"Thread pics\\\" --media-id 111 --media-id 222\\n\\nxurl reply 1234567890 \\\"Great point!\\\"\\nxurl reply https://x.com/user/status/1234567890 \\\"Agreed!\\\"\\nxurl reply 1234567890 \\\"Look at this\\\" --media-id MEDIA_ID\\n\\nxurl quote 1234567890 \\\"Adding my thoughts\\\"\\nxurl delete 1234567890\\n```\\n\\n### Reading & Search\\n\\n```bash\\nxurl read 1234567890\\nxurl read https://x.com/user/status/1234567890\\n\\nxurl search \\\"golang\\\"\\nxurl search \\\"from:elonmusk\\\" -n 20\\nxurl search \\\"#buildinpublic lang:en\\\" -n 15\\n```\\n\\n### Users, Timeline, Mentions\\n\\n```bash\\nxurl whoami\\nxurl user elonmusk\\nxurl user @XDevelopers\\n\\nxurl timeline -n 25\\nxurl mentions -n 20\\n```\\n\\n### Engagement\\n\\n```bash\\nxurl like 1234567890\\nxurl unlike 1234567890\\n\\nxurl repost 1234567890\\nxurl unrepost 1234567890\\n\\nxurl bookmark 1234567890\\nxurl unbookmark 1234567890\\n\\nxurl bookmarks -n 20\\nxurl likes -n 20\\n```\\n\\n### Social Graph\\n\\n```bash\\nxurl follow @XDevelopers\\nxurl unfollow @XDevelopers\\n\\nxurl following -n 50\\nxurl followers -n 50\\n\\n# Another user's graph\\nxurl following --of elonmusk -n 20\\nxurl followers --of elonmusk -n 20\\n\\nxurl block @spammer\\nxurl unblock @spammer\\nxurl mute @annoying\\nxurl unmute @annoying\\n```\\n\\n### Direct Messages\\n\\n```bash\\nxurl dm @someuser \\\"Hey, saw your post!\\\"\\nxurl dms -n 25\\n```\\n\\n### Media Upload\\n\\n```bash\\n# Auto-detect type\\nxurl media upload photo.jpg\\nxurl media upload video.mp4\\n\\n# Explicit type/category\\nxurl media upload --media-type image/jpeg --category tweet_image photo.jpg\\n\\n# Videos need server-side processing — check status (or poll)\\nxurl media status MEDIA_ID\\nxurl media status --wait MEDIA_ID\\n\\n# Full workflow\\nxurl media upload meme.png # returns media id\\nxurl post \\\"lol\\\" --media-id MEDIA_ID\\n```\\n\\n---\\n\\n## Raw API Access\\n\\nThe shortcuts cover common operations. For anything else, use raw curl-style mode against any X API v2 endpoint:\\n\\n```bash\\n# GET\\nxurl /2/users/me\\n\\n# POST with JSON body\\nxurl -X POST /2/tweets -d '{\\\"text\\\":\\\"Hello world!\\\"}'\\n\\n# DELETE / PUT / PATCH\\nxurl -X DELETE /2/tweets/1234567890\\n\\n# Custom headers\\nxurl -H \\\"Content-Type: application/json\\\" /2/some/endpoint\\n\\n# Force streaming\\nxurl -s /2/tweets/search/stream\\n\\n# Full URLs also work\\nxurl https://api.x.com/2/users/me\\n```\\n\\n---\\n\\n## Global Flags\\n\\n| Flag | Short | Description |\\n| --- | --- | --- |\\n| `--app` | | Use a specific registered app (overrides default) |\\n| `--auth` | | Force auth type: `oauth1`, `oauth2`, or `app` |\\n| `--username` | `-u` | Which OAuth2 account to use (if multiple exist) |\\n| `--verbose` | `-v` | **Forbidden in agent sessions** — leaks auth headers |\\n| `--trace` | `-t` | Add `X-B3-Flags: 1` trace header |\\n\\n---\\n\\n## Streaming\\n\\nStreaming endpoints are auto-detected. Known ones include:\\n\\n- `/2/tweets/search/stream`\\n- `/2/tweets/sample/stream`\\n- `/2/tweets/sample10/stream`\\n\\nForce streaming on any endpoint with `-s`.\\n\\n---\\n\\n## Output Format\\n\\nAll commands return JSON to stdout. Structure mirrors X API v2:\\n\\n```json\\n{ \\\"data\\\": { \\\"id\\\": \\\"1234567890\\\", \\\"text\\\": \\\"Hello world!\\\" } }\\n```\\n\\nErrors are also JSON:\\n\\n```json\\n{ \\\"errors\\\": [ { \\\"message\\\": \\\"Not authorized\\\", \\\"code\\\": 403 } ] }\\n```\\n\\n---\\n\\n## Common Workflows\\n\\n### Post with an image\\n```bash\\nxurl media upload photo.jpg\\nxurl post \\\"Check out this photo!\\\" --media-id MEDIA_ID\\n```\\n\\n### Reply to a conversation\\n```bash\\nxurl read https://x.com/user/status/1234567890\\nxurl reply 1234567890 \\\"Here are my thoughts...\\\"\\n```\\n\\n### Search and engage\\n```bash\\nxurl search \\\"topic of interest\\\" -n 10\\nxurl like POST_ID_FROM_RESULTS\\nxurl reply POST_ID_FROM_RESULTS \\\"Great point!\\\"\\n```\\n\\n### Check your activity\\n```bash\\nxurl whoami\\nxurl mentions -n 20\\nxurl timeline -n 20\\n```\\n\\n### Multiple apps (credentials pre-configured manually)\\n```bash\\nxurl auth default prod alice # prod app, alice user\\nxurl --app staging /2/users/me # one-off against staging\\n```\\n\\n---\\n\\n## Error Handling\\n\\n- Non-zero exit code on any error.\\n- API errors are still printed as JSON to stdout, so you can parse them.\\n- Auth errors → have the user re-run `xurl auth oauth2` outside the agent session.\\n- Commands that need the caller's user ID (like, repost, bookmark, follow, etc.) will auto-fetch it via `/2/users/me`. An auth failure there surfaces as an auth error.\\n\\n---\\n\\n## Agent Workflow\\n\\n1. Verify prerequisites: `xurl --help` and `xurl auth status`.\\n2. **Check default app has credentials.** Parse the `auth status` output. The default app is marked with `▸`. If the default app shows `oauth2: (none)` but another app has a valid oauth2 user, tell the user to run `xurl auth default ` to fix it. This is the most common setup mistake — the user added an app with a custom name but never set it as default, so xurl keeps trying the empty `default` profile.\\n3. If auth is missing entirely, stop and direct the user to the \\\"One-Time User Setup\\\" section — do NOT attempt to register apps or pass secrets yourself.\\n4. Start with a cheap read (`xurl whoami`, `xurl user @handle`, `xurl search ... -n 3`) to confirm reachability.\\n5. **Public read fallback:** If the task is only to read/summarize a public post and `xurl` is not installed, unauthenticated, blocked, or over quota, do not stop. Use public embed/syndication mirrors before asking the user:\\n ```bash\\n # Good first fallback for public posts; returns structured JSON.\\n python3 - <<'PY'\\n import requests\\n user='__microdancing'; tid='2054160914438291840'\\n for host in ['https://api.fxtwitter.com','https://api.vxtwitter.com']:\\n url=f'{host}/{user}/status/{tid}'\\n r=requests.get(url, timeout=20, headers={'User-Agent':'Mozilla/5.0'})\\n print(host, r.status_code, r.text[:2000])\\n PY\\n ```\\n `api.fxtwitter.com//status/` often returns `{code, message, tweet: {text, author, ...}}`; `api.vxtwitter.com//status/` returns `{text, tweetID, date, likes, ...}`. Also try `https://publish.twitter.com/oembed?url=` and `https://cdn.syndication.twimg.com/tweet-result?id=&lang=en`, but these can return empty `{}`.\\n6. Confirm the target post/user and the user's intent before any write action (post, reply, like, repost, DM, follow, block, delete).\\n7. Use JSON output directly — every response is already structured.\\n8. Never paste `~/.xurl` contents back into the conversation.\\n\\n---\\n\\n## Troubleshooting\\n\\n| Symptom | Cause | Fix |\\n| --- | --- | --- |\\n| Auth errors after successful OAuth flow | Token saved to `default` app (no client-id/secret) instead of your named app | `xurl auth oauth2 --app my-app` then `xurl auth default my-app` |\\n| `unauthorized_client` during OAuth | App type set to \\\"Native App\\\" in X dashboard | Change to \\\"Web app, automated app or bot\\\" in User Authentication Settings |\\n| `UsernameNotFound` or 403 on `/2/users/me` right after OAuth | X not returning username reliably from `/2/users/me` | Re-run `xurl auth oauth2 --app my-app YOUR_USERNAME` (xurl v1.1.0+) to pass the handle explicitly |\\n| 401 on every request | Token expired or wrong default app | Check `xurl auth status` — verify `▸` points to an app with oauth2 tokens |\\n| `client-forbidden` / `client-not-enrolled` | X platform enrollment issue | Dashboard → Apps → Manage → Move to \\\"Pay-per-use\\\" package → Production environment |\\n| `CreditsDepleted` | $0 balance on X API | Buy credits (min $5) in Developer Console → Billing |\\n| `media processing failed` on image upload | Default category is `amplify_video` | Add `--category tweet_image --media-type image/png` |\\n| Two \\\"Client Secret\\\" values in X dashboard | UI bug — first is actually Client ID | Confirm on the \\\"Keys and tokens\\\" page; ID ends in `MTpjaQ` |\\n\\n---\\n\\n## Notes\\n\\n- **Rate limits:** X enforces per-endpoint rate limits. A 429 means wait and retry. Write endpoints (post, reply, like, repost) have tighter limits than reads.\\n- **Scopes:** OAuth 2.0 tokens use broad scopes. A 403 on a specific action usually means the token is missing a scope — have the user re-run `xurl auth oauth2`.\\n- **Token refresh:** OAuth 2.0 tokens auto-refresh. Nothing to do.\\n- **Multiple apps:** Each app has isolated credentials/tokens. Switch with `xurl auth default` or `--app`.\\n- **Multiple accounts per app:** Select with `-u / --username`, or set a default with `xurl auth default APP USER`.\\n- **Token storage:** `~/.xurl` is YAML. Never read or send this file to LLM context.\\n- **Cost:** X API access is typically paid for meaningful usage. 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It’s important to keep everything clear and specific!", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqA0Zw-RwOyf9RrAvaAtnPDOz9OvL-Oiw9upWrNyNynfsR5sg708rUhlfi3O1uV2gYm1U_7xMiXB9Rog8GWEsbi3tmJnuT3gYTMG7zUMAYk94TLN91BBbXMnRY-xTJh7TQhbp9I-q018h0q22_gkWf5HBT1CZNfA0CAedr_aMjOBgCw5Vur-lyJLXcoPcl6yPCQZiDpJfN8DYXK9krtZvHPxYZ7FFU4DeD06U7ayPIzgL5kpfnOJUbJKBmCt10gZyWK3W5LxXybUpwAIS-VFhmuIuvj1o46ABxyGEaJFIwOtEmkCO2aKqcD-n908RQ4W6ylSEpE25UJ7CUYKzO9jIu-N4qp4QX543Nc00TfHSwDRn0CVLe_laLhm7pGwGwattb4cGwOuWagZ2Y1xvuccUtz-9qS_umqCkzNLJRcypZeE1Jgz2pQqfOn8LrdIs2zw8YiZ3lrEwkmy03zYkZbkIDh7qVk02XT67zUq3iemxao1xYfkvKghpSVYonMa5oIuHGQS81rSBL1hTd5JVVgygnEPg3tBl5sOkhEJ-hoyq2ywgBxMxyGEY3mK7mkuBnm-BaAeUXVv8_k88kmbVzMEH0bLVIfucXhXQFi1jetFB9pz7xi5v6H-pCuDRBu8qe4vyFu7jCTgcI1akHI-mCGpIysRSJ9DgdsYZBvIxSz_AC-Iqx3QD9pHGBaoJg4pNQiqhOsZe5EIxg_sklO0bjRk_IC05yzGM1Rzo_oO8w0DDj2JLVfI73Z9cicHKV5PaDN3fsZ6dxSCWxvdCIDs_rpqeHpYqX16FUs6ypHYxcx_tFlbXsm-UAAPcHcyaJ20eL9tJ4mBG9c5z-rOsVGUbc_agUvLxiWoBDMNA8zoFxXpBoSWL6LT1wlKGXl8KUF3-lU-1IIHR_aeJKEdc-MUZI2r65QNo-9pfmlaazt8tiJYg-pyiYrpjmuQy5qFSVFKTIBLm9WK8UCs4nYSYA6EzZ2eZcU5Pl3CgrsGpwigs5ICQ2eRIdXeD2VQXjWmw_zYOAlfiAjraHrlnv7IB1U4c6U__6S-2vyFKZOBz0paDyNteYK1tbXptxrmVpR9JqaXNylOqKeo93", "id": "rs_005292c977a6333c016a03466dfdf081918177089bb2a9b0bd", "summary": [ { "type": "summary_text", "text": "**Checking open-data references**\n\nIt seems like the open-data reference might already exist, or it was possibly created before. I want to ensure I'm viewing the correct reference and consider updating it with specific data related to Argentina. I need to check the details to make sure I'm doing this accurately. It’s important to keep everything clear and specific!" } ] } ], "tool_calls": [ { "id": "call_2KtvCow7B49YmceSDe1c5vDA", "call_id": "call_2KtvCow7B49YmceSDe1c5vDA", "response_item_id": "fc_005292c977a6333c016a0346709da081918fb6a4debe6edc6a", "type": "function", "function": { "name": "skill_view", "arguments": "{\"name\":\"open-data-monitoring\",\"file_path\":\"references/argentina-presupuesto-abierto.md\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"name\": \"open-data-monitoring\", \"file\": \"references/argentina-presupuesto-abierto.md\", \"content\": \"# Argentina Presupuesto Abierto — monitoring notes\\n\\nUse for questions like: “can we build a bot that posts national government transfers to provinces/universities/etc.?”\\n\\n## Official sources\\n\\n- API docs/UI: `https://www.presupuestoabierto.gob.ar/api/`\\n- Public data portal package search: `https://datos.gob.ar/api/3/action/package_search?q=presupuesto%20abierto%20credito%20gasto`\\n- Current-year static downloads are often available even before the CKAN package is listed, e.g.:\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip`\\n - Pattern: `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/{YEAR}/credito-diario-{YEAR}.zip`\\n\\n## API quirks\\n\\n- `GET https://www.presupuestoabierto.gob.ar/api/v1/credito` returns 405; the endpoint expects POST.\\n- POSTing a query may return `401 {\\\"message\\\":\\\"Debe indicar el header Authorization en la petición\\\"}`.\\n- The schema endpoints are public and useful:\\n - `https://www.presupuestoabierto.gob.ar/api/jsonCredito`\\n - `https://www.presupuestoabierto.gob.ar/api/jsonRecurso`\\n - `https://www.presupuestoabierto.gob.ar/api/jsonPef`\\n - `https://www.presupuestoabierto.gob.ar/api/jsonTransversalFinanciero`\\n- Column descriptions are available as UTF-16-ish text files under `/api/json/itemCredito.txt`, etc.\\n\\n## Transfer monitoring fields\\n\\nThe `credito-diario-{YEAR}.csv` inside the ZIP has useful fields:\\n\\n- `impacto_presupuestario_fecha`\\n- `impacto_presupuestario_anio`, `impacto_presupuestario_mes`\\n- `ejercicio_presupuestario`\\n- `jurisdiccion_desc`, `entidad_desc`, `servicio_desc`\\n- `programa_desc`, `subprograma_desc`, `proyecto_desc`, `actividad_desc`, `obra_desc`\\n- `inciso_id`, `inciso_desc`\\n- `principal_desc`, `parcial_desc`, `subparcial_desc`\\n- `ubicacion_geografica_desc`\\n- `credito_presupuestado`, `credito_vigente`, `credito_comprometido`, `credito_devengado`, `credito_pagado`\\n- `ultima_actualizacion_fecha`\\n\\nFor transfer-like rows, filter:\\n\\n- `inciso_id == \\\"5\\\"` → Transferencias\\n- then usually `credito_pagado > 0` for paid execution, or `credito_devengado > 0` for accrued/recognized spending.\\n\\nExamples of transfer categories seen in 2026 data:\\n\\n- `Transferencias a instituciones provinciales y municipales para financiar gastos corrientes`\\n- `Transferencias a la Administración Pública Provincial para financiar gastos corrientes`\\n- `Transferencias a fondos fiduciarios y otros entes del Sector Público Nacional no Financiero para financiar gastos corrientes`\\n- `Transferencias al sector privado para financiar gastos corrientes`\\n\\n## Caveats to say out loud\\n\\n- This is budget execution data, not necessarily each bank transfer as a discrete payment order.\\n- It is commonly aggregated by day + budget classifiers + geography, so avoid claims like “the government sent a wire to beneficiary X” unless another source provides beneficiary-level data.\\n- Verify currency/decimal handling before posting amounts. Values use comma decimal separators in the CSV (e.g. `18,68193597`).\\n- Freshness depends on the dataset update cadence. In the May 12, 2026 probe, the file reported: `Última actualización del ejercicio 2026: 10 Mayo 2026.`\\n\\n## Minimal probe\\n\\n```bash\\npython3 - <<'PY'\\nimport csv, io, requests, zipfile\\nurl='https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip'\\nz=zipfile.ZipFile(io.BytesIO(requests.get(url, timeout=60).content))\\nwith z.open(z.namelist()[0]) as f:\\n reader=csv.DictReader(io.TextIOWrapper(f, encoding='utf-8-sig'))\\n rows=[]\\n for r in reader:\\n if r.get('inciso_id') == '5':\\n paid=float((r.get('credito_pagado') or '0').replace(',','.'))\\n if paid > 0:\\n rows.append((r, paid))\\n rows.sort(key=lambda x: x[0]['impacto_presupuestario_fecha'], reverse=True)\\n print('paid transfer rows', len(rows))\\n if rows:\\n print(rows[0][0].get('ultima_actualizacion_fecha'))\\n for r, paid in rows[:5]:\\n print(r['impacto_presupuestario_fecha'], paid, r['jurisdiccion_desc'], r['entidad_desc'], r['programa_desc'], r['principal_desc'], r['ubicacion_geografica_desc'])\\nPY\\n```\\n\\n## Suggested social-post phrasing\\n\\nPrefer:\\n\\n> 2026-05-08 — Ejecución presupuestaria registrada \\n> Jurisdicción: Ministerio de Economía \\n> Destino geográfico: Provincia de Jujuy \\n> Partida: Transferencias a instituciones provinciales y municipales para gastos corrientes \\n> Pagado: $X \\n> Fuente: Presupuesto Abierto\\n\\nAvoid unless independently verified:\\n\\n> El gobierno transfirió exactamente $X a [beneficiario final] en tiempo real.\\n\", \"file_type\": \".md\"}", "tool_call_id": "call_2KtvCow7B49YmceSDe1c5vDA" }, { "role": "assistant", "content": "", "reasoning": "**Updating skill library**\n\nI need to update the skill library to enhance it with richer references like RON, examples, and methodology. There’s a current reference that may not be fully complete, so I could work on patching that. The skill mentions a fallback for xurl, but it seems I need to include a step to verify command existence before attempting the xurl read. Additionally, I learned that fxtwitter provides metrics accessible via the API. I should consider adding notes about fx/vx and patching references with concrete computations.", "finish_reason": "tool_calls", "reasoning_content": "**Updating skill library**\n\nI need to update the skill library to enhance it with richer references like RON, examples, and methodology. There’s a current reference that may not be fully complete, so I could work on patching that. The skill mentions a fallback for xurl, but it seems I need to include a step to verify command existence before attempting the xurl read. Additionally, I learned that fxtwitter provides metrics accessible via the API. I should consider adding notes about fx/vx and patching references with concrete computations.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqA0Z5Bpvz0jzWSusQpJGTclFF83qkC6eiyfJBUWlLZMjoX8B5XBGMtY3wYYGRgJfhZDj8_D9Td09kINOfk3ZwkjpUoxLzDaSbY1NvhoNZptnxcima9oBK_CQ5Ao0vQ4snf2UxsvMTWsYDm70MNQnifO7fb5Y6TcTS2CxzdVqubE9pMUqnZWkfag4vJe5MPXHt9OaCutQ4h_ebd573lsicmNunHt51FHEh3ZTIlht3eKu5eMXDDA_dW6WISLVgppo-yMEOw4IkY0ibnMErBRe7Q4ACDJj7pOpzZfmpNMWUuztnJRzGgwkOkdLrtipiYNtdbEHosG4E6uJZ48dRqwZC7b0h4Fg_nptT_QF4WJwkPB6hK4Q7EGWDaj4pUfddtjzpcAqusZPvzaYkeaNtI65km7m3hU45ilKzCgs8oMd_dZ98RTMMISJiRuSJrHL0QfmIuScpkqc73aKYMC8pWR1k3H3IkaYPgjT2o1CT1UKJmZpCka8z3BqIjQ_-2QJPKDuaQs5eQt7tXasuHPxZnDfVkmAILqUDsRNgyBFlgFT6WUqmvV6oRzsKwKpNoEsuwSs10KN06ascldP7JwDOMWXLsTbPXv2OHLf7U1U-AE99qdxDzehwCPBDlXab5U-y2MrCSV-weScH97R_GNKOGfrl6cDYx-NGjEb6fxPUh18iVK5kGmWGJZb3VZkqna9HUmrv39lYZSuFYj5t_WD02GEbuoCBd-n2VoiFkgwXOl8vhoZcQF3-_9OproHvGvURd4lsi9-IpxNhf4JdqMNTOOeAb89bquQ4nOfDRMyOZeUKyx-FJbROyoLsH-UZF3MTJwJ3_GTvM4EicZ9sgUgnFlCCcsNoqGf6YcsKCJCpTmbVUFCBHx6Vxl70FQ1eIqLgmnOsU6epI9lhrRAGHb4ewLv4eiYRUWmYF9NgIDPs01lLs6k-OQUlqL9SCUUrK4xNcJKQBRK9DSiWJhhP5M_M5-FoGL6dPqVKnXX6JnZRsWeDC3lFNQOyX_FLSiG9kjKVNznATjoVc-i_xZv_bhpDmQjwR4UJHmZHTsqnyMqexxqdrjWPfwGEqm_iPLjRLeTXC2QAd8VhPxxLHqk2i6nMPTcOf3JCYMgRiu2nYXCjXHZGKQVf1Z7AUBMuC4cRygTjvDO6fpHGMpmnfXZM2VpHFXkeFOzkHmVGFrzz0Z_4yPMsMBqc7q6F1ikXopEbfRnNX0kLJAP5uq7z9MctRGj-R97XJ-SWo1uL3t5c1nNXdIa-YbERnAWVUZ_9pPwjJpI1mheUm06B_PC8Ql5mz7OtskKc4hJ-DXxvmPi5YuvPz1trkNX8nnccfc4PjJ4H9uIfN0O1Kqj_Qwa5iWCSmBWTvW9TaWM2Qan1KDZ33ESK_CC8341mHyMM18Be4ilMnxAV8SQ71xFiIF4LNrphRFPblJwLYuGWApBHaW0dOfcVYjA6rj0D8BHhtHlYMX-RxdMCHEDXMHiSe6ERRa9U9kKpjTPRNDSyhqRz-N5_PRri8QW155E6l8buwEzeqBtr8ekUYTj2QwSS2xM_G-MXxMmgX5xIAIqlMD8lWpPjcJhqvaSZOIeXjBoLa4SQdMBrDXrBbDs4Ija2cqcNSyZUnkWhc673yIq45NnHruAKPO4JbHV26UceA1wir5-Sm3_d8GUC1RCIB3_zFer5qwfwYvI8xtYuygzRakX94pe6fAbeMoJB88vEI2UacM88PuypslFL-kbK1Ykq5hT-2NF4hh04HOXBlRN-KmSEe1hoyyRTbdUELyH4XZVNdcs_mUsuAxAZaO7ezOHuMhoyo_M6U8UiVg6-xPWxff2MdgWiuvnzYbqIWEf6YJ9tekrjJsZfWKTYb4h0GsnfAYrpcOCc5XO73RpcgQ2VBa_RexxpnCtuQ1F2IYwdwnv1j0XO14XGcNageCUEgCC-kIJDaCupUGSMKGm985u5kOWRf2r3aj67GBqYoGUrrKtQh_qIRHn4UBJ5aqtWUWyMf2jV11vN6jF1KUkfYncwRrDyC6M_XfCyDmuuPNnf1DE=", "id": "rs_005292c977a6333c016a034671ff348191acf2e9a5b7ba4f3c", "summary": [ { "type": "summary_text", "text": "**Updating skill library**\n\nI need to update the skill library to enhance it with richer references like RON, examples, and methodology. There’s a current reference that may not be fully complete, so I could work on patching that. The skill mentions a fallback for xurl, but it seems I need to include a step to verify command existence before attempting the xurl read. Additionally, I learned that fxtwitter provides metrics accessible via the API. I should consider adding notes about fx/vx and patching references with concrete computations." } ] } ], "tool_calls": [ { "id": "call_eZHQfLS1JFTyRIAqROj9Lsv0", "call_id": "call_eZHQfLS1JFTyRIAqROj9Lsv0", "response_item_id": "fc_005292c977a6333c016a034679babc8191ae3704ebc8339446", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"open-data-monitoring\",\"file_path\":\"references/argentina-presupuesto-abierto.md\",\"old_string\":\"## Official sources\\n\\n- API docs/UI: `https://www.presupuestoabierto.gob.ar/api/`\\n- Public data portal package search: `https://datos.gob.ar/api/3/action/package_search?q=presupuesto%20abierto%20credito%20gasto`\\n- Current-year static downloads are often available even before the CKAN package is listed, e.g.:\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip`\\n - Pattern: `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/{YEAR}/credito-diario-{YEAR}.zip`\\n\",\"new_string\":\"## Official sources\\n\\n- API docs/UI: `https://www.presupuestoabierto.gob.ar/api/`\\n- Public data portal package search: `https://datos.gob.ar/api/3/action/package_search?q=presupuesto%20abierto%20credito%20gasto`\\n- Current-year static downloads are often available even before the CKAN package is listed, e.g.:\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-diario-2026.zip`\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-mensual-2026.zip`\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/credito-anual-2026.zip`\\n - `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/2026/resumen-presupuesto-gastos-ejercicio-vigente-2026.zip`\\n - Pattern: `https://dgsiaf-repo.mecon.gob.ar/repository/pa/datasets/{YEAR}/credito-diario-{YEAR}.zip`\\n- Complementary source for **automatic transfers / coparticipación / Recursos de Origen Nacional**: `https://www.argentina.gob.ar/economia/sechacienda/asuntosprovinciales/ron`\\n - 2026 daily XLS examples observed: `/sites/default/files/internet_diario26_4_2.xls`, `/sites/default/files/internet_diario_abril26_19_1.xls`.\\n - Consolidated/historical examples: `/sites/default/files/informacion_consolidada_2026_1.xlsx`, `/sites/default/files/serie_ron_2003_2025.csv` (`ano;provincia;impuesto;regimen;monto`).\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched references/argentina-presupuesto-abierto.md in skill 'open-data-monitoring' (1 replacement).\"}", "tool_call_id": "call_eZHQfLS1JFTyRIAqROj9Lsv0" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_3tnx3cCJsoomEetq5eiNu3G7", "call_id": "call_3tnx3cCJsoomEetq5eiNu3G7", "response_item_id": "fc_005292c977a6333c016a03468fe738819195bfbe97d663cb62", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"file_path\":\"references/argentina-presupuesto-abierto.md\",\"name\":\"open-data-monitoring\",\"new_string\":\"## Transfer monitoring fields\\n\\nThe `credito-diario-{YEAR}.csv` inside the ZIP has useful fields:\\n\\n- `impacto_presupuestario_fecha`\\n- `impacto_presupuestario_anio`, `impacto_presupuestario_mes`\\n- `ejercicio_presupuestario`\\n- `jurisdiccion_desc`, `entidad_desc`, `servicio_desc`\\n- `programa_desc`, `subprograma_desc`, `proyecto_desc`, `actividad_desc`, `obra_desc`\\n- `inciso_id`, `inciso_desc`\\n- `principal_desc`, `parcial_desc`, `subparcial_desc`\\n- `ubicacion_geografica_desc`\\n- `fuente_financiamiento_desc`\\n- `credito_presupuestado`, `credito_vigente`, `credito_comprometido`, `credito_devengado`, `credito_pagado`\\n- `ultima_actualizacion_fecha`\\n\\nFor transfer-like rows, filter:\\n\\n- `inciso_id == \\\"5\\\"` → Transferencias\\n- then usually `credito_pagado > 0` for paid execution, or `credito_devengado > 0` for accrued/recognized spending.\\n\\nUse `credito-diario-{YEAR}` for event detection, but use `credito-anual-{YEAR}` or `credito-mensual-{YEAR}` for annual context/denominators when possible. Daily rows can show paid amounts while `credito_vigente` is zero at that exact grain.\\n\\nRecommended metrics for a public bot:\\n\\n- Event amount: sum `credito_pagado` for the grouped day/event.\\n- Year-to-date amount: sum annual `credito_pagado` at the same human grouping.\\n- Budget denominator: `credito_vigente` (not original `credito_presupuestado`) because it reflects budget modifications.\\n- Execution percentage: `credito_pagado_acumulado / credito_vigente * 100`.\\n- If `credito_vigente == 0`, publish `N/A` / “sin crédito vigente informado” and flag for review; do not divide or imply over-execution.\\n\\nCurrency handling: official dictionary says credit amounts are **in millions of pesos**. Convert before posting (`62568.241846` ⇒ `$62.568 millones` / `$62,6 mil millones`). Validate scale against docs before production.\\n\",\"old_string\":\"## Transfer monitoring fields\\n\\nThe `credito-diario-{YEAR}.csv` inside the ZIP has useful fields:\\n\\n- `impacto_presupuestario_fecha`\\n- `impacto_presupuestario_anio`, `impacto_presupuestario_mes`\\n- `ejercicio_presupuestario`\\n- `jurisdiccion_desc`, `entidad_desc`, `servicio_desc`\\n- `programa_desc`, `subprograma_desc`, `proyecto_desc`, `actividad_desc`, `obra_desc`\\n- `inciso_id`, `inciso_desc`\\n- `principal_desc`, `parcial_desc`, `subparcial_desc`\\n- `ubicacion_geografica_desc`\\n- `credito_presupuestado`, `credito_vigente`, `credito_comprometido`, `credito_devengado`, `credito_pagado`\\n- `ultima_actualizacion_fecha`\\n\\nFor transfer-like rows, filter:\\n\\n- `inciso_id == \\\"5\\\"` → Transferencias\\n- then usually `credito_pagado > 0` for paid execution, or `credito_devengado > 0` for accrued/recognized spending.\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched references/argentina-presupuesto-abierto.md in skill 'open-data-monitoring' (1 replacement).\"}", "tool_call_id": "call_3tnx3cCJsoomEetq5eiNu3G7" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_rMcA00i5sxnkNx0iAofPkWbU", "call_id": "call_rMcA00i5sxnkNx0iAofPkWbU", "response_item_id": "fc_005292c977a6333c016a0346b138f481919b5e90f9f25d2aaf", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"file_path\":\"references/argentina-presupuesto-abierto.md\",\"name\":\"open-data-monitoring\",\"new_string\":\"## Examples and feasibility facts from May 2026 probe\\n\\nWhen evaluating an Argentina budget-transfer bot, these concrete facts are useful grounding:\\n\\n- `credito-diario-2026.zip` downloaded successfully from `dgsiaf-repo.mecon.gob.ar` as a public ZIP.\\n- In a 2026 probe through `2026-05-10`, the daily CSV had ~363k rows; `inciso_id=5` yielded ~28k transfer rows and ~10k rows with `credito_pagado > 0`.\\n- Top-level 2026 categories observed for paid transfers included: sector privado gastos corrientes, other SPN entities, universities, provinces/municipalities current spending, provinces/municipalities capital spending, and exterior.\\n- Real UBA example, `2026-05-05`: three paid rows under Ministerio de Capital Humano / Secretaría de Educación / Desarrollo de la Educación Superior totaling `62568.241846` million pesos (≈ `$62.6 mil millones`), annual paid `262403.287296` million, vigente `799460.3925720002` million, execution `32.82%`.\\n- Real denominator caveat: Chubut/ATN showed a paid event around `$4.0 mil millones`, annual paid around `$6.5 mil millones`, but `credito_vigente = 0`; publish percent as N/A and explain.\\n\\n## Examples of transfer categories seen in 2026 data\\n\",\"old_string\":\"Examples of transfer categories seen in 2026 data:\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched references/argentina-presupuesto-abierto.md in skill 'open-data-monitoring' (1 replacement).\"}", "tool_call_id": "call_rMcA00i5sxnkNx0iAofPkWbU" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_K8aPauiRh39oDnlzMKagr8yC", "call_id": "call_K8aPauiRh39oDnlzMKagr8yC", "response_item_id": "fc_005292c977a6333c016a0346bd96408191a397b344cac78573", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"file_path\":\"references/argentina-presupuesto-abierto.md\",\"name\":\"open-data-monitoring\",\"new_string\":\"## Caveats to say out loud\\n\\n- This is budget execution data, not necessarily each bank transfer as a discrete payment order.\\n- Use conservative wording: “Presupuesto Abierto registró un pago presupuestario” / “ejecución presupuestaria registrada”, not “wire transfer in real time”.\\n- It is commonly aggregated by day + budget classifiers + geography, so avoid claims like “the government sent a wire to beneficiary X” unless another source provides beneficiary-level data.\\n- `ubicacion_geografica_desc` is geography; `subparcial_desc` may be a clearer institutional destination for universities, but for provinces it can be a broad classifier like “Administración Central Provincial”.\\n- Automatic transfers/coparticipación are a separate data product from discretionary/budgetary transfers; use the DNAP/RON source, not only Presupuesto Abierto, for “todo lo que Nación manda a provincias”.\\n- Verify currency/decimal handling before posting amounts. Values use comma decimal separators in the CSV (e.g. `18,68193597`) and are in millions of pesos.\\n- Freshness depends on the dataset update cadence. In the May 12, 2026 probe, the file reported: `Última actualización del ejercicio 2026: 10 Mayo 2026.`\\n- Avoid posting every raw row. Group by date + human destination + program/category and publish only material events or summaries.\\n\",\"old_string\":\"## Caveats to say out loud\\n\\n- This is budget execution data, not necessarily each bank transfer as a discrete payment order.\\n- It is commonly aggregated by day + budget classifiers + geography, so avoid claims like “the government sent a wire to beneficiary X” unless another source provides beneficiary-level data.\\n- Verify currency/decimal handling before posting amounts. Values use comma decimal separators in the CSV (e.g. `18,68193597`).\\n- Freshness depends on the dataset update cadence. In the May 12, 2026 probe, the file reported: `Última actualización del ejercicio 2026: 10 Mayo 2026.`\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched references/argentina-presupuesto-abierto.md in skill 'open-data-monitoring' (1 replacement).\"}", "tool_call_id": "call_K8aPauiRh39oDnlzMKagr8yC" }, { "role": "assistant", "content": "", "reasoning": null, "finish_reason": "tool_calls", "tool_calls": [ { "id": "call_mIZU2PshFbz3IYOAVSpo11DI", "call_id": "call_mIZU2PshFbz3IYOAVSpo11DI", "response_item_id": "fc_005292c977a6333c016a0346d063288191876135008ba01ad2", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"file_path\":\"references/argentina-presupuesto-abierto.md\",\"name\":\"open-data-monitoring\",\"new_string\":\"## Suggested social-post phrasing\\n\\nPrefer:\\n\\n> 2026-05-08 — Ejecución presupuestaria registrada \\n> Jurisdicción: Ministerio de Economía \\n> Destino geográfico: Provincia de Jujuy \\n> Partida: Transferencias a instituciones provinciales y municipales para gastos corrientes \\n> Pagado: $X \\n> Fuente: Presupuesto Abierto\\n\\nFor richer posts, include accumulated context:\\n\\n> 🏛️ Transferencia registrada — 05/05/2026 \\n> Ministerio de Capital Humano → Universidad de Buenos Aires \\n> Programa: Desarrollo de la Educación Superior \\n> Pagado del día: **$62,6 mil millones** \\n> 2026 acumulado: **$262,4 mil millones / $799,5 mil millones** \\n> Ejecución: **32,8%** \\n> Fuente: Presupuesto Abierto, corte 10/05/2026.\\n\\nAvoid unless independently verified:\\n\\n> El gobierno transfirió exactamente $X a [beneficiario final] en tiempo real.\\n\",\"old_string\":\"## Suggested social-post phrasing\\n\\nPrefer:\\n\\n> 2026-05-08 — Ejecución presupuestaria registrada \\n> Jurisdicción: Ministerio de Economía \\n> Destino geográfico: Provincia de Jujuy \\n> Partida: Transferencias a instituciones provinciales y municipales para gastos corrientes \\n> Pagado: $X \\n> Fuente: Presupuesto Abierto\\n\\nAvoid unless independently verified:\\n\\n> El gobierno transfirió exactamente $X a [beneficiario final] en tiempo real.\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched references/argentina-presupuesto-abierto.md in skill 'open-data-monitoring' (1 replacement).\"}", "tool_call_id": "call_mIZU2PshFbz3IYOAVSpo11DI" }, { "role": "assistant", "content": "", "reasoning": "**Considering tool updates**\n\nI need to think about updating the xurl with a fallback note, even though it already has one. It’s strange that the session indicates the xurl command isn’t installed despite the setup showing it shouldn’t need anything. Should I patch the required command? It looks like we could add troubleshooting steps if the command isn’t found. It might be good to note that fxtwitter could return metrics. A minor patch seems necessary.", "finish_reason": "tool_calls", "reasoning_content": "**Considering tool updates**\n\nI need to think about updating the xurl with a fallback note, even though it already has one. It’s strange that the session indicates the xurl command isn’t installed despite the setup showing it shouldn’t need anything. Should I patch the required command? It looks like we could add troubleshooting steps if the command isn’t found. It might be good to note that fxtwitter could return metrics. A minor patch seems necessary.", "codex_reasoning_items": [ { "type": "reasoning", "encrypted_content": "gAAAAABqA0bmmd6tQfQigwPWmMvIB-GtMDlGcOP-iowz5Tjh7KNb6eY6Vk1Q5_TSC0jXblq4z8Sur-uyfUKwW70HWCOjmFNJyQ1GuBPLPGObZuloii3YAtmyOXvYDjNSPtgaIQjcASkDsXRE1dAHjfq7gm8suFqjIPKjXqXEjmRH3hQ0D6Ys9tyAg3iLXu0kL2enFy2ISSuVBTSboWvbVPL2PXRxX8BbYQOX6BdlaODvHAWOdxu2H4cK6-9-Zj80F8t_1nbm8-KjsT6OO-ujwga1jd6rpOay3AVdBhm2rBcpG7HvuJQCI1WzKfRXC0NPaVM5gT6zAWxVfDNl6YdfcwG9wKQgF_P_YewJqKAUxWCPSpChisv8g1TzIrf_qBOqLafOAn4oi1xKWQO5QBCY5PhDcNiaV9S1yZCJjGtPZFQ8ZnNwcuJz6KNHBgHIW8aiyJ8_5Yf7RcXsWvUOTEAG6ozrYlOSrJcHxvez_haGDpCWCTXIzlSj_RjvI3gDqq5Dri6dHoEsukpIwKpH-d0bkd3s6kNDqpfQhAKz-1IhMp76IUNeAGvUbR0pjh5HQQyvd2Ajfb0alTi_tedVoT2uPvvuosIneKCUtSbS_QZfWc56EHSLGwR-fJKxTmLk9Oh0J2ItvP9QRa_pPZqwYbHjuCz8yQ0PFtvvfJ-HmbZzQd-bLDxGctrxFXxvOujXVVyxen7ovI2SWS3ZuFXclFqCzSXl4NzwqxEWVk5qquTUluU5PdLrwQwzZIpTpjSSdQbG4d66aI_M9krnnkeshqINQ64cttdnLppD8Vwi4iDW59rAG0IxNmGgBc6prvJoNsZ3vfQXfy-hMPwNSCu5jCIkM0z6tQUWoMeRw2grGSQEZtQHo2K95zRQTDRNHyLWkqQ6YQYrVRPX4VSLOCkj7bg6aXbZsmP9woj-dTET3-05Xu483BCt82k7fq-wMWgGBJHB03DL6La-XSvTLu9emiFNa8zMET29A0-JqXJbibJu-b2IMYbxBHX8zRitFHMH0MrSpNBho1vilHyOFBEvSjTI4Yg1Fa6YChg9PVP_thyve_blRO0ohp_5F8M2PljzYkSwtQu5TFggTPTMogM7ParYuPy2TVgyPr0iBDYxVERXIuwkUbdmjmhVDK4vYz3e5dhP2F7MTBCpKp7ZhiLDyMdBP8Ww7JCN891xJPNjRRZ6hYbTxR5B6_IDR7xX3WOKgx-cPqQr5yRxL_vLrYN6h7sQ_NoUhFpewnXqlDSe6COpAAcL324RjVTFnV9ZgzKcxrqsZV-uvhiJJHnHtUmU6JVcIA65QQd2GJjm4lOVuYetC3OBk330wd8qy26NVAR-mdvNPeyatgFQyI_gFrGZOXXJZm6o-UIuYa5haoRFmTmVZh_kzP-6lF6DdVHYDJ4QhQnWKKWmbfXh8QUhBQHLEmLmz3pzm8v7CSfGC6BsbLJHQo_Lg-zSFI-pvfeIYY5IzdmhoWw8WGlXgqwRojKBmevxOx8PXMmd2IpRmvRAvUI80eRwtZRF5k-6uJvbq95N8SqCbzdp5lAPjuPPVBoM2fDiu8CHbnYpubyidei_rsh7SbEFiIIH6z10ktd92Wr-aGcRDIpTuChQF1H2", "id": "rs_005292c977a6333c016a0346e04888819192c66de29f20e9f1", "summary": [ { "type": "summary_text", "text": "**Considering tool updates**\n\nI need to think about updating the xurl with a fallback note, even though it already has one. It’s strange that the session indicates the xurl command isn’t installed despite the setup showing it shouldn’t need anything. Should I patch the required command? It looks like we could add troubleshooting steps if the command isn’t found. It might be good to note that fxtwitter could return metrics. A minor patch seems necessary." } ] } ], "tool_calls": [ { "id": "call_6FCJZgH12snXykhwnoCpyRmu", "call_id": "call_6FCJZgH12snXykhwnoCpyRmu", "response_item_id": "fc_005292c977a6333c016a0346e65b70819183c30e36e03d0913", "type": "function", "function": { "name": "skill_manage", "arguments": "{\"action\":\"patch\",\"name\":\"xurl\",\"old_string\":\"5. **Public read fallback:** If the task is only to read/summarize a public post and `xurl` is not installed, unauthenticated, blocked, or over quota, do not stop. Use public embed/syndication mirrors before asking the user:\\n ```bash\\n # Good first fallback for public posts; returns structured JSON.\\n python3 - <<'PY'\\n import requests\\n user='__microdancing'; tid='2054160914438291840'\\n for host in ['https://api.fxtwitter.com','https://api.vxtwitter.com']:\\n url=f'{host}/{user}/status/{tid}'\\n r=requests.get(url, timeout=20, headers={'User-Agent':'Mozilla/5.0'})\\n print(host, r.status_code, r.text[:2000])\\n PY\\n ```\\n `api.fxtwitter.com//status/` often returns `{code, message, tweet: {text, author, ...}}`; `api.vxtwitter.com//status/` returns `{text, tweetID, date, likes, ...}`. Also try `https://publish.twitter.com/oembed?url=` and `https://cdn.syndication.twimg.com/tweet-result?id=&lang=en`, but these can return empty `{}`.\\n\",\"new_string\":\"5. **Public read fallback:** If the task is only to read/summarize a public post and `xurl` is not installed, unauthenticated, blocked, or over quota, do not stop. Use public embed/syndication mirrors before asking the user:\\n ```bash\\n # Good first fallback for public posts; returns structured JSON.\\n python3 - <<'PY'\\n import json, requests\\n user='__microdancing'; tid='2054160914438291840'\\n for host in ['https://api.fxtwitter.com','https://api.vxtwitter.com']:\\n url=f'{host}/{user}/status/{tid}'\\n r=requests.get(url, timeout=20, headers={'User-Agent':'Mozilla/5.0'})\\n print('\\\\n', host, r.status_code)\\n try:\\n data=r.json()\\n print(json.dumps(data, ensure_ascii=False, indent=2)[:4000])\\n except Exception:\\n print(r.text[:4000])\\n PY\\n ```\\n `api.fxtwitter.com//status/` often returns `{code, message, tweet: {text, author, ...}}` and may include public engagement metrics useful for demand sizing; `api.vxtwitter.com//status/` returns `{text, tweetID, date, likes, ...}`. Also try `https://publish.twitter.com/oembed?url=` and `https://cdn.syndication.twimg.com/tweet-result?id=&lang=en`, but these can return empty `{}`. If mirrors fail, use web search snippets for the exact ID/handle/quoted text and clearly mark any engagement/reply analysis as unavailable rather than invented.\\n\"}" } } ] }, { "role": "tool", "content": "{\"success\": true, \"message\": \"Patched SKILL.md in skill 'xurl' (1 replacement).\"}", "tool_call_id": "call_6FCJZgH12snXykhwnoCpyRmu" }, { "role": "user", "content": "You've reached the maximum number of tool-calling iterations allowed. Please provide a final response summarizing what you've found and accomplished so far, without calling any more tools." }, { "role": "assistant", "content": "Actualicé la skill library.\n\nCambios hechos:\n\n1. **Skill actualizada:** `open-data-monitoring`\n - Extendí `references/argentina-presupuesto-abierto.md`.\n - Agregué fuentes oficiales verificadas:\n - `credito-diario-{YEAR}.zip`\n - `credito-mensual-{YEAR}.zip`\n - `credito-anual-{YEAR}.zip`\n - `resumen-presupuesto-gastos-ejercicio-vigente-{YEAR}.zip`\n - fuente DNAP/RON para coparticipación / transferencias automáticas.\n - Incorporé el workflow correcto:\n - usar `credito-diario` para detectar eventos;\n - usar `credito-anual` o `credito-mensual` para acumulados y denominadores;\n - filtrar `inciso_id = 5`;\n - usar `credito_pagado`;\n - calcular `% ejecución = pagado acumulado / crédito vigente`.\n - Dejé documentado el caveat fuerte:\n - esto es ejecución presupuestaria registrada, no transferencias bancarias realtime;\n - los montos están en **millones de pesos**;\n - `credito_vigente = 0` debe dar `N/A`, no porcentaje inventado;\n - coparticipación/RON va por fuente separada.\n - Agregué ejemplos reales de la sesión:\n - UBA 05/05/2026: `$62,6 mil millones`, acumulado `$262,4 mil millones`, vigente `$799,5 mil millones`, ejecución `32,82%`.\n - Chubut/ATN con crédito vigente cero como caso delicado.\n - Añadí formato recomendado de post público con acumulado y porcentaje.\n\n2. **Skill actualizada:** `xurl`\n - Mejoré el fallback para leer tweets públicos cuando `xurl` no está instalado/autenticado.\n - Agregué parsing JSON más claro para `api.fxtwitter.com` / `api.vxtwitter.com`.\n - Dejé explícito que esos mirrors pueden traer métricas públicas útiles para estimar demanda.\n - Añadí instrucción de no inventar engagement/replies si mirrors/oEmbed/syndication fallan.\n\nNo creé una skill nueva porque ya existían umbrellas correctos:\n- `open-data-monitoring` cubre bots cívicos/datasets/alertas.\n- `xurl` cubre lectura/publicación en X/Twitter." } ] }