evaluator-calibration

Community

Calibrate reviewer consistency to maintain accurate evaluations over time.

AuthorArchive228
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps maintain the consistency and accuracy of reviewer evaluations by calibrating the reviewer persona with few-shot rubric examples, preventing leniency drift over long runs.

Core Features & Use Cases

  • Calibration with Examples: Uses concrete pass/fail examples to anchor the rubric and prevent leniency drift.
  • Reproducible Verdicts: Ensures the same artifact evaluated by the same reviewer at different times yields the same verdict.
  • Use Case: When setting up a critic/evaluator/judge agent in a multi-agent loop, or when noticing evaluator scores drifting upward without a change in output quality.

Quick Start

Run the 'evaluator-calibration' skill with the provided examples and rubric to calibrate your reviewer agent.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: evaluator-calibration
Download link: https://github.com/Archive228/loopkit/archive/main.zip#evaluator-calibration

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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