this-is-a-very-long-skill-name-that-exceeds-the-sixty-four-character-limit-set-by-the-standard

To validate YAML frontmatter for length limits, you need a tool that reads SKILL.md metadata and deterministically reports violations when the name field exceeds the permitted character count. This Skill performs exactly that check, preserving exact name and description fields during the inspection process.

Testing parsers against invalid skill metadata requires fixture files with intentionally oversized names to verify error handling. This Skill provides the necessary fixture validation by reading YAML frontmatter and deterministically flagging length-rule violations for your parser testing scenarios.

Yes, you can use this Skill for automated repository quality checks on SKILL.md files. It catches naming issues early by reading YAML frontmatter and reporting length-rule violations deterministically, making it suitable for integration into your automated review pipelines.

Frontmatter validation with this Skill preserves the exact name and description fields found in the YAML metadata. It reads the frontmatter without altering the original content, focusing solely on detecting and reporting whether the name exceeds the supported length limit.

Skill metadata validation fails on edge-case names when the frontmatter name exceeds the permitted character limit. This Skill identifies such length-rule violations deterministically by reading the YAML metadata, helping you understand why validators reject oversized or intentionally invalid skill names.

You need to check skill frontmatter for length constraints when testing metadata validators, verifying parser behavior, or performing repository quality checks on SKILL.md files. This Skill detects frontmatter names exceeding the permitted limit, ensuring your metadata adheres to schema requirements.