pantheon-ai/skill-quality-auditor

Audit and improve skill collections with a 9-dimension scoring framework (Knowledge Delta, Mindset, Anti-Patterns, Specification Compliance, Progressive Disclosure, Freedom Calibration, Pattern Recognition, Practical Usability, Eval Validation), duplication detection, remediation planning, baseline comparison, and CI quality gates; use when evaluating skill quality, generating remediation plans, detecting duplicates, validating artifact conventions, or enforcing publication thresholds.

1.26x

Quality

89%

Does it follow best practices?

Impact

99%

1.26x

Average score across 5 eval scenarios

Securityby

Passed

No known issues

Task: Anti-Pattern Documentation Enhancement

Name: pantheon-ai/skill-quality-auditor
Rating: 93 (1 reviews)
Author: pantheon-ai

A skill for a CI/CD pipeline generator currently scores D3: 5/15. Its SKILL.md has a brief "Common Mistakes" section with three one-liner bullets but no NEVER/WHY/BAD/GOOD structure.

Current content of the anti-patterns section:

## Common Mistakes

- Don't hardcode secrets in workflow files
- Avoid running all jobs in parallel when they have dependencies
- Don't use latest tags for actions

Rewrite and expand this section to score D3: >=13/15. Follow the anti-pattern format used by this skill-quality-auditor.

Output Specification

Produce:

anti-patterns-section.md — the rewritten section ready to paste into SKILL.md
before-after-diff.md — a summary showing old vs new structure and expected score impact