AI Skill Evaluation Framework Builder

Generates a structured evaluation framework—test cases, scoring rubrics, and metrics—for assessing whether an AI skill is working as intended. Use this when you've built or are designing an AI skill and need a rigorous way to measure its quality, consistency, and edge case handling. Trigger phrases: 'How do I know if my skill is working?', 'Help me build test cases for my skill', 'Create an evaluation framework for my AI skill', 'What metrics should I track for this skill?', 'I need a rubric to grade my skill outputs'. Not intended for general software QA or non-AI product testing.

3.9k runs3.9 (69 ratings)5 skillspaces

*Required field

Skill description*

Describe what your skill does, who uses it, and what input it typically receives

What does a great output look like?*

Be as specific as possible. This becomes the foundation for your scoring rubric.

Known or suspected failure modes*

List the ways this skill could go wrong — even hypothetical ones

Quality dimensions that matter most

Accuracy

Consistency

Completeness

Tone & style

Edge case handling

User satisfaction

Safety & guardrails

Latency & efficiency

Specific edge cases to cover

List unusual inputs, boundary conditions, or scenarios your skill might struggle with

Number of test cases to generate5

530

15-20 is recommended for most skills. Use 5-10 for early-stage validation, 25-30 for production readiness.

Scoring rubric format

Pass / Fail

1–5 scale

Weighted dimensions

Include prompt variation test cases

Adds test cases that rephrase the same request differently to check consistency

Include baseline comparison guidance

Adds instructions for benchmarking your skill against a naive baseline (e.g., no-skill output)

Estimated cost: $0.01–$0.10 USD per run

Missing: Skill description, What does a great output look like?, Known or suspected failure modes