Individual skill
eval-harness
Use when you need to evaluate an LLM pipeline or AI feature systematically — sets up an eval harness with test cases, scoring rubrics, and pass/fail tracking rather than one-off manual spot-checks
skills/testing/eval-harness/SKILL.md
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# Eval Harness
Build a reproducible evaluation harness for LLM pipelines, AI features, or agent workflows. The harness consists of:
- **Eval definitions** — test cases with inputs, expected outputs, and scoring rubrics
- **Runner** — executes the pipeline against all test cases
- **Scorer** — applies rubrics and records results
- **Tracker** — maintains pass/fail history across runs (via SQL session DB)
## When to Use
- Building a new LLM-powered feature and want regressions caught automatically
- Changing prompts and want to confirm no quality degradation
- Demonstrating quality evidence for a shipped AI pipeline