skill-tester

Automate AI skill quality assurance by enforcing structure, validating script functionality, and scoring documentation completeness against predefined tier requirements. This process executes automated checks and generates detailed reports with actionable improvement suggestions to ensure ecosystem consistency.

Yes, you can integrate this validation into your CI/CD pipeline to automatically gate the quality of new or updated skills before they are merged. This prevents regressions and maintains high standards by running automated checks on directory layouts, file presence, and script syntax.

Automated code quality scoring checks directory layouts, file presence, documentation standards, Python script syntax, imports, and functionality. It assigns objective scores across documentation, code, completeness, and usability based on predefined standards and tier requirements.

No additional dependencies are required to run automated script testing and quality assurance. The Skill operates independently to execute Python scripts, verify directory layouts, validate file presence, and enforce documentation completeness without external dependencies.

The best way to prevent regressions when updating multiple skills is to integrate automated quality scoring into your CI/CD pipeline. This validates structure, tests script functionality, and gates merges based on objective scores for documentation, code, completeness, and usability.