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SkillHub ClubAnalyze Data & AIFull StackData / AITesting

ai-evals

Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
451
Hot score
99
Updated
March 20, 2026
Overall rating
C3.5
Composite score
3.5
Best-practice grade
A92.0

Install command

npx @skill-hub/cli install refoundai-lenny-skills-ai-evals

Repository

RefoundAI/lenny-skills

Skill path: skills/ai-evals

Help users create and run AI evaluations. Use when someone is building evals for LLM products, measuring model quality, creating test cases, designing rubrics, or trying to systematically measure AI output quality.

Open repository

Best for

Primary workflow: Analyze Data & AI.

Technical facets: Full Stack, Data / AI, Testing.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: RefoundAI.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install ai-evals into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/RefoundAI/lenny-skills before adding ai-evals to shared team environments
  • Use ai-evals for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

ai-evals | SkillHub