Audit and improve skill collections with an 8-dimension scoring framework, duplication detection, remediation planning, and CI quality gates; use when evaluating skill quality, generating remediation plans, validating report format, or enforcing repository-wide skill artifact conventions.
Does it follow best practices?
Evaluation — 93%
↑ 1.33xAgent success when using this tile
Validation for skill structure
| Dimension | Weight | Description |
|---|---|---|
| D1 Knowledge Delta | 20 | Non-obvious guidance depth |
| D2 Mindset + Procedures | 15 | Procedural clarity |
| D3 Anti-Pattern Quality | 15 | Specificity and enforceability |
| D4 Specification Compliance | 15 | Metadata/spec alignment |
| D5 Progressive Disclosure | 15 | Hub-to-reference balance |
| D6 Freedom Calibration | 15 | Constraint/flexibility balance |
| D7 Pattern Recognition | 10 | Trigger/intent discoverability |
| D8 Practical Usability | 15 | Actionable examples/commands |
| Total | 120 | Overall score |
| Grade | Score Range | Assessment |
|---|---|---|
| A+ | 115-120 | Exceptional |
| A | 108-114 | Strong |
| B+ | 103-107 | Solid baseline |
| B | 96-102 | Good with gaps |
| C+ | 90-95 | Moderate |
| C | 84-89 | Mixed quality |
| D | 78-83 | Low quality |
| F | 0-77 | Unacceptable |
Install with Tessl CLI
npx tessl i pantheon-ai/skill-quality-auditorevals
scenario-1
scenario-2
scenario-3
scenario-4
scenario-5
references
scripts