npx skills add ...
npx skills add alirezarezvani/claude-skills --skill skill-tester
Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, or integrating skill QA into CI.
npx skills add alirezarezvani/claude-skills --skill skill-tester
Tier: POWERFUL · Category: Engineering Quality Assurance · Dependencies: None (Python stdlib only)
Meta-skill that validates, tests, and scores skills in this repository. Four tools, run from the repo root with full paths:
scripts/skill_validator.py — structure + documentation compliancescripts/script_tester.py — Python script syntax/imports/runtime/output testingscripts/quality_scorer.py — multi-dimensional scoring with letter gradescripts/security_scorer.py — security posture scoring (also available via quality_scorer.py --include-security)Scope note: this skill's tier line-count minimums measure legacy skills. For authoring new skills,
engineering/write-a-skill(SKILL.md under ~100 lines, Matt Pocock doctrine) is the binding standard — do not pad a new skill to satisfy a tier minimum here.
Consume the JSON: validator emits overall_score, compliance_level, per-check checks{}; scorer emits overall_score, letter_grade, tier_recommendation, dimensions, and an improvement_roadmap — work the roadmap top-down, then re-run until the target score is met.
For repo-wide auditing prefer scripts/audit_skills.py at the repo root (wraps the write-a-skill checklist runner across all skills).
--tier BASIC|STANDARD|POWERFUL)--timeout, default 30s)--help functionality verification; sample-data runs compared against expected_outputs/Four dimensions, 25% each: Documentation (depth, examples, references), Code Quality (complexity, error handling, output consistency), Completeness (required dirs, sample data, expected outputs), Usability (help text, example clarity). Outputs 0-100 + A-F grade + tier recommendation.
| Tier | SKILL.md | Scripts | CLI surface |
|---|---|---|---|
| BASIC | ≥ 100 lines | 1 (100-300 LOC) | basic argparse |
| STANDARD | ≥ 200 lines | 1-2 (300-500 LOC) | subcommands, JSON + text output |
| POWERFUL | ≥ 300 lines | 2-3 (500-800 LOC) | multiple modes, CI integration |
(Advisory for legacy skills; new skills follow write-a-skill — see scope note above.)
Pre-commit hook: run the validator on the staged skill directory and block the commit on non-zero exit.
A skill "passes" when, in one run from repo root:
skill_validator.py <skill> --json exits 0,script_tester.py <skill> reports all scripts passing, andquality_scorer.py <skill> --minimum-score <target> exits 0.If any step fails, apply the top improvement_roadmap item and re-run all three — never report a partial pass.
--timeout or optimize the script under testReferences: references/ holds the structure specification, tier requirements matrix, and scoring rubric the tools implement.