auditing-skills

To audit published skills for security and quality, you can run a centralized audit that scans all skills in a repository using third-party security scanners and quality reviewers, surfacing per-skill results and remediation guidance.

Skill remediation is the process of fixing security and quality findings identified during an audit. It provides centralized workflows to resolve issues across the repository, ensuring skills remain safe and compliant with governance standards.

Enforcing frontmatter completeness during a skill audit checks that required metadata fields like name and description are present. The audit validates these fields automatically, aligning skills with repository governance and compliance requirements.

Yes, you can automate security and quality audits across all skills in a repository. The audit targets every skill, providing standardized checks, per-skill visibility, and scalable scanning that adapts as new skills are added or updated.

To integrate quality checks with Tessl workflows, run a full audit that aligns with Tessl recommendations by validating frontmatter completeness, optional scripts, references, and assets, then use the centralized remediation workflows to resolve findings.

Yes, the skill audit supports optional scripts, references, and assets as audit inputs alongside enforcing frontmatter completeness, allowing comprehensive security and quality evaluation of all published skills in the repository.