What problem does it solve? AI rules files like CLAUDE.md, AGENTS.md, or .cursor/rules/*.mdc often grow bloated, vague, and poorly ordered, which wastes context window space and causes agents to ignore critical instructions. This Skill audits any rules-for-AI markdown file and returns a structured scorecard with actionable fixes. ## Core Features & Use Cases - Five-dimension audit: Scores length, direct code snippets, vague language, redundant knowledge, and rule ordering with OK/WARN/FAIL verdicts. - Grounded rewrites: Translates vague phrases like "write clean code" into testable rules based on the project's actual stack and conventions. - Interactive reordering: Detects buried critical rules and, with explicit user approval, reorders sections so high-priority rules sit where models pay the most attention. - Use Case: A developer suspects their 600-line AGENTS.md is being ignored by their coding agent. They run the review, get a scorecard showing FAIL on length and ordering, and apply the top three fixes. ## Quick Start Ask the AI to review your rules file, for example: "Review my AGENTS.md and score it" or "Audit @CLAUDE.md for problems".