skill-tester

You automate skill quality validation by running automated testing and scoring checks that enforce frontmatter integrity, script correctness, and output formats. This serves as a centralized quality gate for pre-commit hooks and CI/CD pipelines to maintain consistent quality across a skills repository.

Skill structure validation verifies required directory structures and files like SKILL.md, README.md, and scripts. It enforces documentation standards across the repository to ensure consistent formatting and required components are present for every skill.

You test Python scripts by analyzing them for syntax correctness, stdlib-only imports, argparse usage, and main guards. The validation checks runtime behavior and output formatting to ensure scripts function correctly within automated quality gates.

Yes, automated quality scoring performs multi-dimensional assessment across documentation, code quality, completeness, and usability. It provides tier recommendations and improvement roadmaps to help elevate skills to higher quality tiers.

Yes, the validation tool integrates directly with pre-commit hooks and automated pipelines as a CI/CD gatekeeper. It enforces quality checks across the entire skills repository, applying consistent validation for structure, scripts, and scoring before commits are accepted.

The best way to enforce frontmatter integrity and output formats is applying a centralized automated validation tool across the entire repository. It checks structure, tests scripts, and generates quality reports to maintain standards consistently.