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skill-tester

skill-tester

github.com/alirezarezvaniTesting & quality28.9k614 installsUpdated 2d ago
Repository

About skill-tester

A repository meta-skill for validating, testing, and scoring skills. Its Python tools check structure, scripts, quality, and security, with JSON output and options for CI or commit gates.

Key features

  1. 01Skill structure validation
  2. 02Python script testing
  3. 03Quality scoring and grading
  4. 04Security posture scoring
  5. 05JSON output for automation

Use cases

  1. 01Checking a skill before committing
  2. 02Gating skill changes in CI
  3. 03Testing scripts against sample outputs
  4. 04Prioritizing improvements from score reports

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/alirezarezvani/claude-skills --skill skill-tester

After installing, type/skill-testerin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

README.md
assets/sample-skill/
README.md
assets/sample-skill/assets/
sample_text.txt
test_data.csv
assets/sample-skill/expected_outputs/
sample_text_analysis.json
assets/sample-skill/references/
api-reference.md
assets/sample-skill/scripts/
text_processor.py
expected_outputs/
sample_validation_report.json
references/
quality-scoring-rubric.md
skill-structure-specification.md
tier-requirements-matrix.md
scripts/
quality_scorer.py
script_tester.py
security_scorer.py
skill_validator.py
tests/
test_security_scorer.py

Details

From the project README

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:

  1. scripts/skill_validator.py — structure + documentation compliance
  2. scripts/script_tester.py — Python script syntax/imports/runtime/output testing
  3. scripts/quality_scorer.py — multi-dimensional scoring with letter grade
  4. scripts/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.

Quick Start (exact, runnable from repo root)

# 1. Validate structure (exit non-zero on failure — usable as a gate)
python3 engineering/skills/skill-tester/scripts/skill_validator.py engineering/skills/self-eval --json

# 2. Test the skill's Python scripts (30s default timeout per script)
python3 engineering/skills/skill-tester/scripts/script_tester.py engineering/skills/self-eval --json

# 3. Score quality (fail CI below threshold with --minimum-score)
python3 engineering/skills/skill-tester/scripts/quality_scorer.py engineering/skills/self-eval --json --detailed --minimum-score 75

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).

What Each Tool Checks

skill_validator.py
  • SKILL.md frontmatter parsing, required sections, minimum line counts per tier (--tier BASIC|STANDARD|POWERFUL)
  • Required structure: SKILL.md, README.md, scripts/, references/, assets/, expected_outputs/
  • Python scripts: argparse present, stdlib-only imports
script_tester.py
  • AST-based syntax validation; import analysis (flags external dependencies)
  • Controlled execution with timeout protection (--timeout, default 30s)
  • --help functionality verification; sample-data runs compared against expected_outputs/
quality_scorer.py

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 Classification

TierSKILL.mdScriptsCLI surface
BASIC≥ 100 lines1 (100-300 LOC)basic argparse
STANDARD≥ 200 lines1-2 (300-500 LOC)subcommands, JSON + text output
POWERFUL≥ 300 lines2-3 (500-800 LOC)multiple modes, CI integration

(Advisory for legacy skills; new skills follow write-a-skill — see scope note above.)

CI Integration

# GitHub Actions: gate changed skills
- name: "validate-changed-skills"
  run: |
    for skill in $changed_skills; do
      python3 engineering/skills/skill-tester/scripts/skill_validator.py "$skill" --json
      python3 engineering/skills/skill-tester/scripts/script_tester.py "$skill"
      python3 engineering/skills/skill-tester/scripts/quality_scorer.py "$skill" --minimum-score 75
    done

Pre-commit hook: run the validator on the staged skill directory and block the commit on non-zero exit.

Verification Loop

A skill "passes" when, in one run from repo root:

  1. skill_validator.py <skill> --json exits 0,
  2. script_tester.py <skill> reports all scripts passing, and
  3. quality_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.

Troubleshooting

  • Timeout errors → raise --timeout or optimize the script under test
  • Import failures → external deps detected; stdlib-only is the repo policy
  • Tier misclassification → check line counts/LOC against the tier table; remember the write-a-skill exception for new skills

References: references/ holds the structure specification, tier requirements matrix, and scoring rubric the tools implement.

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