ai-eval-review

What problem does it solve?

This Skill identifies gaps and weaknesses in the design of AI evaluation frameworks, helping teams verify that their evaluation strategies accurately measure success and robustness.

Core Features & Use Cases

• Structured eval review: Guides systematic analysis of offline criteria, bias, robustness, and drift detection.
• Gap detection: Finds missing validation steps, untested failure modes, or weak signals in the evaluation plan.
• Use Case: When deploying a new language model feature, verify that the eval design captures all critical failure modes and aligns with regulatory requirements.

Quick Start

Ask the AI to review your evaluation plan by loading your existing ai-eval-review.md file or starting fresh; it will generate a comprehensive assessment and visual report.