Evaluate agent and LLM outputs. Use when asked to evaluate agent performance, build evaluation frameworks, implement LLM-as-judge, compare model outputs, create rubrics, mitigate evaluation bias, or design evaluation pipelines and quality gates.
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
Quick Start
TopRank Skills install Treytucker05/evaluationchat Comments (0)
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Skill Details
GitHub Stars
1
GitHub Forks
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Created
Jan 2026
Last Updated
5 months ago
tools
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