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Validate and score Claude Code skill packages for quality, completeness, and best-practice compliance. Tests Python scripts, checks YAML frontmatter, and generates reports.
Passed 17 of 20 test cases with the skill, and 4 of 20 without it.
and 13 more in the full report
15 fixed4 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I just created a new skill package under `skills/data-cleaner` and I'd like to perform a full validation pass on it before submitting. Could you check its directory structure, verify that all Python scripts pass syntax and import checks, and provide a quality assessment along with actionable suggestions for improvement?
| Checked | Without skill | With skill |
|---|---|---|
| Asks the user to specify or confirm the target tier level. | Missed | Passed |
| Asks the user to specify or confirm the pass bar or minimum score threshold. | Missed | Passed |
The instructions your model reads when the skill loads.
Validate skill packages for structure compliance, test Python scripts for syntax and stdlib-only imports, and score quality across four dimensions (documentation, code quality, completeness, usability) with letter grades and improvement recommendations. Supports BASIC, STANDARD, and POWERFUL tier classification.
__main__-guard detection, runtime --help and sample-data execution.--json for CI/CD gating with meaningful exit codes.Before validating, confirm these inputs. If any is unknown or vague, ASK — do not assume:
--tier; sets the required sections, script count, and structural thresholds)--minimum-score, exit codes)Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
# Validate skill structure and documentation
python skill_validator.py engineering/my-skill --tier POWERFUL --json
# Test all Python scripts in a skill
python script_tester.py engineering/my-skill --timeout 30
# Score quality with improvement roadmap
python quality_scorer.py engineering/my-skill --detailed --minimum-score 75
test cases passed, vs 4 / 20 without
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