AI Agent Skills Audit: Optimize Your AGENTS.md Rules
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AI Agent Skills Audit: Optimize Your AGENTS.md Rules
The AI Agent Skills Audit skill evaluates and audits agent rule files, such as AGENTS.md and nested subsidiaries, as well as the skill descriptions that AI agents like Claude Code, Cursor, and Codex utilize at startup. It provides a report on potential improvements, specifying suggestions for removal, relocation, or rewriting of rules. Any file modifications occur only after user approval.
What this skill does
Audits AGENTS.md files located in the current folder and its subfolders, which are central for agents like Claude Code, Codex, and Cursor.
Generates a concise report detailing identified issues and recommendations, written in straightforward language suitable for non-programmers.
Examines specific files such as CLAUDE.md, CLAUDE.local.md, and contents within `.claude/rules/` for different rule sets read by Claude Code versus other agents, highlighting discrepancies without line-by-line analysis.
Assesses skills within directories like `.agents/skills`, `.claude/skills`, and other relevant paths, summarizing information in a table for clarity.
Offers actionable suggestions and waits for user confirmation before making any edits.
Who it is for
Developers and teams who employ AI coding agents such as Claude Code, Cursor, and Codex.
Users maintaining agent configurations without extensive programming experience.
Use cases
An individual responsible for managing AI agent rule files wants to ensure consistency and correctness across AGENTS.md files and skill descriptions.
A team needs to audit and optimize agent configurations without affecting ongoing projects, preferring a tool that reports improvements prior to implementation.
A developer wanting to align Claude Code’s and Codex’s operational rule sets and skill descriptions for uniform agent behavior.
Technical details
Works with AGENTS.md, CLAUDE.md, CLAUDE.local.md, and rules within `.claude/rules/`.
Checks skills present in `.agents/skills`, `.claude/skills`, and corresponding directories up to the root of the git repository and home directories.
Utilizes AI applications to suggest rule optimizations but implements changes only post user approval.
Source & Licence
This package is built on open-source work published by serejaris (serejaris/personal-corp-os) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.