skill-enhancer

You can audit agent skills for compliance by running the skill-enhancer tool, which uses `analyze_gaps.py` to automatically detect structural, language, and execution policy gaps. It then provides targeted refactoring patterns to guide remediation and achieve a Gold Standard.

The best way to refactor agent skills for security and reliability is to run an automated audit that identifies execution policy gaps. This process detects structural vulnerabilities and provides specific refactoring patterns to manually or automatically upgrade the skill before deployment.

Yes, the skill auditing process requires Python3 as its primary dependency. You must have Python3 installed in your environment to execute the `analyze_gaps.py` script and perform the automated detection of structural and policy gaps in your agent skills.

Yes, you can use this tool to upgrade newly developed skills that pass basic tests but might be prone to errors. Running the skill enhancer audits the skill against TDD, CSO, and Script-First standards, identifying hidden vulnerabilities and guiding remediation before deployment.

Agent skills fail to meet CSO standards during auditing when the `analyze_gaps.py` script detects structural, language, or execution policy gaps. The tool identifies these specific compliance failures and provides targeted refactoring patterns to guide the necessary manual or automated upgrades.

You should not rely solely on automated skill enhancement when your agent code requires complex, domain-specific logic that automated refactoring patterns cannot fully contextualize. In these cases, use the audit results to guide manual remediation rather than applying automated upgrades blindly.