Use when the user has a RAG (Retrieval-Augmented Generation) system and wants to evaluate its quality — separating retrieval issues from generation issues. Also use when the user mentions RAG evaluation, faithfulness checking, hallucination detection in RAG, retrieval quality, chunking optimization, or "is my RAG pipeline working." Outputs a diagnostic matrix that pinpoints whether problems are in retrieval or generation.
$npx -y skills add agentscope-ai/openjudge --skill 05-rag-evalInstalls into the current project.
Run `npx skills use "https://github.com/agentscope-ai/openjudge" --skill "agentscope-ai/openjudge/05-rag-eval"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/agentscope-ai/openjudge" that are relevant to the current task. Run `npx skills add "https://github.com/agentscope-ai/openjudge"` and select the relevant skills, then follow their instructions.