Individual skill
project-skill-audit
Analyze a project's past Codex sessions, memory files, and existing local skills to recommend the highest-value skills to create or update. Use when a user asks what skills a project needs, wants skill ideas grounded in real project history, wants an audit of current project-local skills, or wants recommendations for updating stale or incomplete skills instead of creating duplicates.
project-skill-audit/SKILL.md
Source commit 05ba982bfeb0d77d3c97d4542b0ee15034d05f84
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 4,025
- Repository last updated
- Mar 29, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- security Derived category
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Browse files
SKILL.mdcore · 8,146 bytesagents/openai.yamlasset · 237 bytes
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# Project Skill Audit
## Overview
Audit the project's real recurring workflows before recommending skills. Prefer evidence from memory, rollout summaries, existing skill folders, and current repo conventions over generic brainstorming.
Recommend updates before new skills when an existing project skill is already close to the needed behavior.
## Workflow
1. Map the current project surface.
Identify the repo root and read the most relevant project guidance first, such as `AGENTS.md`, `README.md`, roadmap/ledger files, and local docs that define workflows or validation expectations.
2. Build the memory/session path first.