skf-test-skill

To verify AI agent skill completeness before export, run a quality gate validation that checks documentation coverage, signature accuracy, and internal coherence. It produces a deterministic completeness score and a prioritized gap report highlighting missing files and structural issues.

A skill quality gate is a mandatory checkpoint in the skill authoring workflow that prevents low-quality skills from being exported. It evaluates documentation coverage, signature accuracy, type coverage, and coherence to produce a deterministic completeness score.

You can check documentation coverage and signature accuracy for BMAD format skills by running a completeness verification process. This evaluates the skill across Quick, Forge, Forge+, and Deep forge tiers, producing a gap report with file:line citations for any mismatches.

Yes, you need access to the skill source code or a provenance map to run a completeness verification. The validation process requires this access to accurately evaluate internal coherence, check documentation coverage, and generate the deterministic completeness score.

The best way to identify missing documentation in AI agent skills is to use an automated gap reporting tool. It analyzes the skill structure and flags missing documentation, signature mismatches, and structural issues with specific file:line citations for easy resolution.

Yes, the completeness verification supports optional external validation when checking skill exports. This feature allows you to apply compliance checks beyond internal coherence and documentation coverage across all BMAD forge tiers.