evaluating-skills-with-models

SKILL.md

Evaluate skills across multiple Claude models using sub-agents with quality-based scoring.

Binary pass/fail ("did it do X?") fails to differentiate models - all models can "do the steps." The difference is how well they do them. This skill uses weighted scoring to reveal capability differences.

Default to difficult scenarios: When multiple scenarios exist, prioritize Hard or Medium difficulty scenarios for evaluation. Easy scenarios often don't show meaningful differences between models and aren't realistic for production use.

通過使用子代理在十四行詩、作品和俳句模型中執行技能來評估技能。在測試技能是否正常工作、比較模型性能或查找最便宜的兼容模型時使用。返回數字分數 (0-100) 以區分模型功能。 來源：taisukeoe/agentic-ai-skills-creator。

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