skill-auditor v0.1.0 scans AI agent skill collections for structural flaws and secrets

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A new open-source CLI tool called skill-auditor v0.1.0 has been released to audit AI agent skill collections for structural integrity, broken references, and hardcoded secrets. The tool is agent-agnostic but targets Hermes as its primary platform, working with any skill directory that uses YAML frontmatter with name and description fields. In a real-world test on a 200-skill Hermes collection, the tool uncovered a nested duplicate folder causing a runtime name collision, a broken reference due to an accent typo, a missing cross-link, and several skills citing scripts that were never delivered. Each skill is classified with a plain-language status of OK, WARNING, or BROKEN, and reports can be output to the terminal, Markdown, or JSON for CI integration. An optional --fix flag applies only safe, reversible corrections — such as removing duplicate folders or fixing typo-based broken references — and never modifies secret values or deletes the sole copy of any skill.

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