validate-evaluator

What problem does it solve?

This Skill ensures that an AI judge's assessments align with human judgment, preventing biased or inaccurate AI evaluations before they impact production data.

Core Features & Use Cases

• LLM Judge Calibration: Fine-tune LLM judges using human-labeled data to achieve high True Positive Rate (TPR) and True Negative Rate (TNR).
• Bias Correction: Apply statistical methods to estimate the true success rate of an LLM judge on production data, accounting for known errors.
• Use Case: After developing a prompt to evaluate user-generated content, use this Skill to test its accuracy against human moderators, ensuring it correctly identifies both good and bad content before deploying it.

Quick Start

Use the validate-evaluator skill to calibrate the judge prompt against the provided human-labeled dataset.