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MrJev

Eval Genius

Skill that tells a coding agent when a question needs an eval rather than a vibe, with an opt-in lane that routes the closed-label residue to a decision model and scripts for the cost and confidence arithmetic.

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We haven't reviewed this project hands-on yet. The description above is our own summary of its README. Numbers it reports are the author's, not ours.

More in Evaluation & Benchmarks

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Benchmark for typed decision models across several suites, with confidence cascades and committees reported separately.

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CLI from Sutro that finds the examples a Jev function is least sure about, asks you to label them, and uses GEPA to improve the question.

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Performance work on a game, notable here for the harness: the arithmetic and the noise floors are computed in code, and Jev is asked only for the verdict on what the numbers mean. No licence file.

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