missing-openai-yaml

YAML frontmatter validation ensures each skill provides a mandatory name and description in parseable YAML format. This fixture verifies the frontmatter structure and confirms the Markdown body follows it during repository onboarding.

Mandatory fields required in YAML frontmatter are a name and description. You must include these fields in a parseable YAML block at the top of your SKILL.md file to successfully trigger skill discovery and pass validation checks.

You test skill discovery by creating a minimal SKILL.md file with valid YAML frontmatter containing a name and description. This lightweight test scaffold triggers the discovery mechanism to verify your new skill unit is recognized correctly.

Yes, maintainers use this fixture to catch missing metadata during repository onboarding. It validates new skill templates by ensuring the YAML frontmatter is parseable and contains mandatory fields before the skill is fully integrated.

YAML frontmatter validation fails when the SKILL.md file lacks mandatory name and description fields, contains unparseable YAML syntax, or is missing a plain text body following the frontmatter block. Ensure all required metadata exists.