10x-rule-review

To review AI rules files, this Skill evaluates length, direct code snippets, precise language usage, redundant knowledge, and rule ordering to identify improvement opportunities and generate a scorecard.

An AI rules file audit automatically analyzes file structure and quality, assessing length, code snippets, language precision, and rule ordering to propose concrete improvements for clarity and efficiency.

You can audit AGENTS.md by running the review command and providing the file path, which triggers automated analysis of length, snippets, redundancy, and ordering to produce actionable recommendations.

Yes, the evaluation provides customizable scorecards highlighting strengths and areas for improvement, offering best practices and suggestions to elevate the quality of your AI documentation rules.

Automated AI rule evaluation focuses strictly on structural criteria like length, code snippets, language precision, redundancy, and ordering, meaning it assesses formatting and clarity rather than semantic correctness or business logic.

The best way to identify redundant knowledge is through automated analysis that evaluates rule ordering and overlapping content, providing a scorecard with suggestions to streamline and improve your AI rules file.