agentsop-metric-design
From the author
Decomposed, multi-criteria metric design for LLM pipelines. The metric IS the model — change the metric and the optimizer changes behavior. Decompose by default; bool during compile, float during eval; calibrate against human; mitigate judge bias. Search keywords: LLM-as-judge, llm as judge, eval metric, evaluation score, scoring function, rubric, RAGAS, G-Eval, judge bias, verbosity bias, how to evaluate LLM output.
Install
npx skills add agentsope/SkillAlchemy --skill agentsop-metric-design -a claude-code
Installs to .claude/skills/agentsop-metric-design/ · Each command fetches the skill straight from GitHub with the open skills CLI.
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