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uncertainty-imaging

uncertainty-imaging

github.com/aperivueTesting & quality35379 installsUpdated 1d ago
Repository

About uncertainty-imaging

uncertainty-imaging is a redirect skill for the renamed /model-assessment workflow. It directs users to the uncertainty, OOD guard, and selective-prediction phases while preserving the original arguments.

Key features

  1. 01Redirects to /model-assessment
  2. 02Preserves the original arguments
  3. 03Points to uncertainty and OOD phases

Use cases

  1. 01Migrating an existing uncertainty-imaging request
  2. 02Finding uncertainty and OOD assessment steps

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/aperivue/medsci-skills --skill uncertainty-imaging

After installing, type/uncertainty-imagingin Claude Code to confirm it loaded.

Details

From the project README

/uncertainty-imaging was renamed to /model-assessment in v6.0; this redirect is removed in v7. Run /model-assessment now, passing the same arguments the user gave /uncertainty-imaging. Start at /model-assessment Part C, Phases 10–11 (uncertainty, OOD guard, selective prediction).

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