Validates and optimizes Claude Code rule files to ensure high-quality, compliant AI behavior across projects.
The audit-rules skill provides a comprehensive testing framework for .claude/rules markdown files, ensuring that AI instructions are correctly formatted and effective. It automatically parses YAML frontmatter, validates glob patterns for file targeting, and checks for naming convention consistency to prevent loading errors. By spawning specialized subagents, the skill performs deep content analysis for clarity and applicability, while an integrated validation phase filters out false positives to provide developers with actionable feedback for maintaining robust AI steering documentation.
Key Features
01Support for both project-level and user-wide rule sets
02Parallel subagent-driven content quality audits
0338 GitHub stars
04Comprehensive audit logging in Markdown and JSON formats
05Automated YAML frontmatter and glob pattern validation
06Automated false positive filtering and finding validation
Use Cases
01Validating project-specific coding standards in .claude/rules
02Ensuring AI behavior compliance across large-scale enterprise repositories
03Troubleshooting rule loading issues or incorrect glob targeting
