bad_requires_token

To validate requires tokens in YAML frontmatter, run a skill loader that enforces schema checks on skill definitions to detect malformed entries and report precise validation errors before activation.

The skill loader fails because malformed requires tokens in SKILL.md frontmatter violate metadata consistency. This validation mechanism enforces schema checks for fields like name and description to prevent processing invalid definitions.

The best way to check skill manifests for invalid frontmatter fields is to run a validation check that rejects skill definitions with malformed requires tokens, ensuring only properly formatted entries pass during the onboarding workflow.

Yes, you can integrate frontmatter validation into a skill loading workflow to fail fast during the onboarding of new skills, automatically verifying metadata consistency and rejecting invalid requires tokens.

No dependencies are required to run validation on skill definitions. The validation operates directly on the SKILL.md frontmatter to enforce schema checks and reject malformed requires tokens without external libraries.