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.
93
89%
Does it follow best practices?
Impact
99%
1.26xAverage score across 5 eval scenarios
Passed
No known issues
Evaluation results
100%
38%Task: Skill Quality Assessment
9-dimension framework applied
16%
100%
Redundant content identified
93%
100%
Knowledge Delta scored low
50%
100%
Numerical scores per dimension
100%
100%
A-grade threshold referenced
0%
100%
Actionable remediation steps
85%
100%
Specification compliance issues noted
62%
100%
Progressive disclosure gap noted
37%
100%
100%
45%Task: Skills Collection Quality Audit
skill-auditor batch used
0%
100%
--store flag used
0%
100%
--json flag used
0%
100%
Baseline comparison performed
70%
100%
Grade thresholds applied
100%
100%
New skills handled
100%
100%
Trend analysis present
100%
100%
Reproducible commands documented
40%
100%
99%
15%Task: Skill Improvement Planning
Executive summary present
100%
100%
Critical issues table
100%
100%
Phase-based organisation
93%
100%
Specific file changes
94%
100%
Measurable success criteria
100%
100%
S/M/L effort sizing
60%
100%
Verification commands
66%
91%
A-grade target achievable
25%
100%
98%
-2%Task: Anti-Pattern Documentation Enhancement
NEVER statements used
100%
86%
WHY: explanations present
100%
100%
BAD code examples
100%
100%
GOOD code examples
100%
100%
All 3 original issues covered
100%
100%
At least 4 anti-patterns total
100%
100%
Score impact explained
100%
100%
100%
11%Task: Skills Portfolio Duplication Analysis
Pairwise comparison performed
100%
100%
Similarity percentages calculated
100%
100%
20% threshold applied
100%
100%
35% threshold applied
100%
100%
NEVER wrong-domain aggregation
60%
100%
Navigation Hub pattern referenced
100%
100%
duplication-report.json valid
100%
100%
Specific keep-separate justification
37%
100%
- Evaluated
- Agent
- Claude
- Model
- Claude Sonnet 4.6