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Use this resource to check how far a model's probabilities can be trusted and set its thresholds
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In a terminal, from the folder you want:
npx --yes palatekit@latest install classifier-probability-calibrationWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent builds a labelled corpus, measures calibration (ECE, Brier, risk and coverage), then fits temperature or Platt scaling. You get thresholds backed by measurement and a correction for option-order bias.
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Updated November 2, 2026
You say
“Tell me whether my classifier's confidence scores are reliable and from which threshold it should abstain.”

Skill published by claude-dev-suite under the MIT license, delivered in its original version.
Listed unmodified
« decision-model-calibration » (claude-dev-suite, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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