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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.

perfect-eval

Use when a user wants to design, run, compare, diagnose, validate, benchmark, review, or maintain evaluations for an AI model, agent, prompt, workflow, application, feature, bug fix, or repository-backed system; especially for proving work is done, preventing regressions, comparing providers/models, or autonomously iterating until evidence supports completion.

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.

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