skill-reviewer

The Skill Reviewer audits reusable agent artifacts by validating SKILL.md bundles and standalone definitions against shared standards for trigger quality, bundle structure, and metadata parity. It generates a topology JSON, file-review JSON, and a compact repair plan.

Metadata parity in topology reviews ensures that load-bearing references, examples, and runtime metadata align with the described workflow. The Skill Reviewer checks this alignment to confirm bundled scripts exist and conform to shared standards.

Yes, the Skill Reviewer can generate a refactor plan for standalone agent definitions. It evaluates artifacts against common standards for reusable capability fit and progressive disclosure, producing a compact repair plan to guide improvements.

Yes, the Skill Reviewer checks SKILL-rooted bundles to ensure load-bearing references exist and align with the workflow. It validates runtime metadata and bundled scripts, outputting file-review JSON that details missing references or structural inconsistencies.

The best way to validate composability and skill-standards compliance is to audit artifacts using the Skill Reviewer. It assesses reusable capability fit and progressive disclosure, producing evidence-based topology and file-review findings to guide improvements.

You need to run an artifact-review on agent metadata and topology when validating reusable artifacts for shared standards compliance. This ensures trigger quality, bundle structure integrity, and metadata parity before deployment or integration into larger workflows.