metadata-version-semver-fail

To validate semantic versioning in SKILL.md frontmatter, you need to parse the metadata, extract the version field, and check it against semver rules to identify any non-compliant version strings before publishing.

Semantic versioning validation for skill metadata is the process of verifying that the version string in SKILL.md conforms to semver specifications, ensuring consistent versioning across deployments and preventing incorrect publishing workflows.

You can check multiple skills for non-semver versions by running a validator across a batch of evaluated repositories, which parses each SKILL.md frontmatter and reports exact versioning violations to guide necessary fixes.

Your skill metadata version fails validation because the version string extracted from the SKILL.md frontmatter violates semantic versioning rules, and the validator identifies and reports these exact violations to guide your fixes.

Yes, you can use metadata validation to surface versioning issues across all evaluated repositories, as it applies broadly to parse frontmatter, validate version fields against semver rules, and report any violations found.