Individual skill

model-evaluator

ML model assessment covering classification metrics (precision, recall, F1, AUC-ROC), regression metrics (MAE, RMSE, R2), confusion matrix analysis, cross-validation strategies, bias detection, fairness metrics, and A/B testing for models. Use when the user asks about model evaluator, model evaluator best practices, or needs guidance on model evaluator implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.

src/process/resources/skills-library/bodies/skills/ai-machine-learning/model-evaluator/SKILL.md

Source commit 4c030c7b01c241df7b6e3535635a970f10d781af

What was checked

Matches the observed repository HEAD

Yes

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Observed behavior

Not checked yet

Last checked

Nov 4, 2026

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