skill-tester

You can automate Claude Skills validation by running checks on SKILL.md YAML frontmatter, directory structures, and Python script syntax to output structured JSON reports and tier recommendations for CI/CD quality gates.

Skill quality scoring computes multi-dimensional metrics across tiers by validating required sections, READMEs, and script integrity, generating both human-readable reports and JSON outputs for automated quality gates.

Yes, skill validation supports YAML frontmatter checks and Python script syntax verification, ensuring correct SKILL.md structure and robust script execution before deployment.

Yes, YAML is required as a dependency to parse and validate SKILL.md frontmatter, enabling the tool to verify required sections and directory structures accurately.

The best way to gate quality is computing multi-dimensional scores from structure, documentation, and script tests, then using tier recommendations to block merges in CI/CD workflows.

Dual output formats are needed because JSON reports enable automated CI/CD pipeline decisions while human-readable reports provide developers with actionable feedback on skill structure and testing failures.