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aahplexx/perfecteval

v0.1.1

Provider-agnostic evaluation and review workflows for proving work is done, finding regressions, comparing candidates, diagnosing failures, and maintaining durable quality gates across models, agents, prompts, products, and repositories.

learned-rules

Use when Perfect Eval identifies repeated false negatives, false positives, review misses, or recurring defect classes and should convert them into concise durable review guidance without overfitting.

Read SKILL.md at the source

Pinned to revision 3688367e0b34, so it is the text this page describes rather than whatever the author pushed since.

Files

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