skill-tester

To validate skill directory structure and documentation completeness before a merge, run a validation tool that parses YAML frontmatter, inspects required files like SKILL.md, and enforces directory layout standards to return a dual-format compliance report.

Python AST analysis checks script quality in a CI/CD pipeline by inspecting abstract syntax trees for syntax errors, argparse usage, main guards, and output formats to ensure reliable implementation before deployment.

Yes, you can use PyYAML to parse frontmatter and enforce standards for optional assets in skill directories, verifying that required files, scripts, references, and optional components meet structural and documentation specifications.

The best way to automate quality assurance for Python scripts and catch missing frontmatter in CI/CD gates is to run directory inspection and AST analysis scripts that generate compliance issues, quality scores, and improvement suggestions automatically.

Skill validation reports show incomplete documentation errors when directory inspection finds missing or non-compliant SKILL.md files, broken scripts, or absent YAML frontmatter required by the skill specification standards.

Yes, skill validation works with dual-format reporting to output both structural compliance checks for required files and directories, alongside script quality testing results for syntax, argparse usage, and main guards.