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SkillHub ClubAnalyze Data & AIFull StackData / AITesting

evaluation

This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.

Packaged view

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

Stars
0
Hot score
74
Updated
March 20, 2026
Overall rating
C2.5
Composite score
2.5
Best-practice grade
B81.2

Install command

npx @skill-hub/cli install chakshugautam-games-evaluation

Repository

ChakshuGautam/games

Skill path: .claude/skills/evaluation

This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge, multi-dimensional evaluation, agent testing, or quality gates for agent pipelines.

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: ChakshuGautam.

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

What it helps with

  • Install evaluation into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/ChakshuGautam/games before adding evaluation to shared team environments
  • Use evaluation for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

evaluation | SkillHub