Claude Skill Validation and Quality Scoring
Audit SKILL.md structure, test supplied scripts, and get an evidence-backed grade, quality tier, and prioritized fixes.
Before & after
Same prompt, same agent — the only difference is the skill.
To know if a skill is production-ready, you should test it manually with a few examples and make sure the output looks reasonable. You'll want to check that it handles different types of input without breaking, and that the formatting is consistent. It's also good to think about edge cases—what happens if someone gives it an empty input or something unexpected? You might also want to review the skill's documentation to make sure the instructions are clear. Overall, if it works well in your manual testing and the documentation is good, it's probably ready. Let me know if you run into any issues.
SKILL QUALITY AUDIT REPORT STRUCTURE VALIDATION (5/5) ✓ SKILL.md present with trigger examples ✓ References folder exists with 3+ examples ✓ JSON config valid; all required fields present ✓ No circular dependencies detected ✓ Instruction clarity: Flesch-Kincaid 11th grade FUNCTIONAL TESTING (8/10) ✓ Python syntax: 0 errors (if applicable) ✓ All imports resolve; no missing dependencies ✓ 12/15 test cases pass; 2 edge-case failures documented ✗ Output format inconsistent for empty input (fix: add default) ✓ Runtime: 0.8s avg (threshold: <2s) QUALITY SCORE BY DIMENSION • Clarity (instruction quality): A (9/10) • Robustness (error handling): B+ (8/10) • Performance (execution speed): A (9/10) • Usefulness (user value): A (9/10) • Consistency (output format): B (7/10) OVERALL TIER: STANDARD (not yet POWERFUL) READINESS: Deploy with edge-case caveat in release notes BEFORE POWERFUL: fix empty-input handler, add 3 more test cases
About this skill
Your skill looks polished, but does it trigger on the right requests, run its scripts, and improve the answer? This audit separates structural validity, runtime evidence, and editorial quality so a convincing description cannot hide a broken workflow.
What it does
- Checks frontmatter, trigger boundaries, instruction conflicts, and missing dependencies.
- Tests supplied Python code through syntax, imports, bounded execution, and output-contract checks when execution is available.
- Scores six weighted dimensions with traceable deductions and explicit letter-grade thresholds.
- Assigns BASIC, STANDARD, or POWERFUL tiers using both quality scores and verification evidence.
- Builds positive, negative, ambiguous, and failure-case tests, with an optional comparison against Claude without the skill.
- Defines CI gates that block concrete defects while keeping editorial scores advisory.
What you get
A compact audit with a release verdict, evidence-linked findings, a score out of 100, a letter grade, a supported quality tier, and the smallest useful fixes. Untested behavior is clearly separated from observed failures.
Best for
Claude skill authors, marketplace reviewers, and teams adding repeatable skill checks to publishing workflows or CI.
SKILL.md preview
---
name: claude-skill-validation-and-quality-scoring
description: Audits Claude skills through structural validation, bounded testing of supplied scripts, behavioral test cases, and an evidence-linked scoring rubric with letter grades and quality tiers. Use when the user says "audit this skill", "score my SKILL.md", "my skill never triggers", "my skill's script keeps failing", "is this ready to publish?", "test this against plain Claude", or "add skill checks to CI".
---
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