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prompt-regression

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Use when the user has changed a prompt (system prompt, RAG template, agent instruction, etc.) and wants to know whether the candidate is better or worse than the baseline. Also use when the user mentions prompt A/B testing, prompt comparison, prompt optimization validation, "did my prompt change help," or prompt regression testing. Outputs per-dimension win rates with statistical significance using OpenJudge PairwiseAnalyzer.

skills/eval_pipeline/06-prompt-regression/SKILL.md

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Nov 10, 2026

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Repository last updated
Nov 9, 2026
License
Apache-2.0

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<HARD-GATE>
NO conclusion about which prompt is better WITHOUT bootstrap 95% CI reported.
NO candidate declared "better" WITHOUT position-debiased (swap-aggregate) comparison.
NO comparison with fewer than 10 samples per axis — CI is too wide to be meaningful.
</HARD-GATE>

# Prompt Regression

Compare two prompts head-to-head and determine, with statistical rigor, whether
the candidate is better, worse, or tied on each evaluation dimension.

## When to Activate

- You changed the system prompt and want to verify it's actually better
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