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governance-autoresearchlisted

Autoresearch loop for governance files. Researches latest X discourse on each governance topic, proposes ONE atomic improvement per file, validates it, keeps or discards. Use when the user asks to improve, update, or evolve the governance framework using latest community insights.
parmartejass/AGENTS.MD · ★ 17 · Data & Documents · score 68
Install: claude install-skill parmartejass/AGENTS.MD
# Governance Autoresearch Skill ## Overview Adapts Karpathy's autoresearch pattern to governance file improvement: - **Research** each file's topics on X (last 7 days) - **Cross-reference** with bookmarks data (if available in `X-Bookmarks Import/`) - **Propose** ONE atomic change per file - **Validate** structure and SSOT consistency - **Keep** if it improves the file, **discard** if not - **Commit** each kept change with `experiment:` prefix ## Prerequisites - `X_BEARER_TOKEN` in `.env` - Python 3.10+ - Bookmarks import data (optional, in `X-Bookmarks Import/`) ## Workflow — Execute These Steps Per File ### Step 0: Get Research Context Run the research script for the target file: ```bash python3 "X-Bookmarks Import/skills/governance-autoresearch/scripts/governance_research.py" "<file_path>" ``` This outputs JSON with: - Top X posts about the file's topics (engagement-ranked) - External links being shared - File summary for context ### Step 1: Read the File Read the full governance file. Note: - Current structure and sections - YAML frontmatter (doc_type, ssot_owner) - Key policies, rules, or patterns defined ### Step 2: Cross-Reference Bookmarks (if available) Check `X-Bookmarks Import/data/articles-batch-1.md`, `data/articles-batch-2.md`, `data/github-repos.md`, `data/other-sources.md` for content relevant to this file's domain. Key sources: | Bookmark Content | Relevant To | |-----------------|-------------| | Claude Code Skills (Anthropic) | skill-standards