rag-eval
95 / 100 · Low risk
Fine to try.
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.
What this skill can do
Runs commands on your computer
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'rag-eval' ] || [ -L ~/.agents/skills/'rag-eval' ]; then echo 'A skill folder named rag-eval already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/agentscope-ai/OpenJudge' "$d" && git -C "$d" checkout --quiet '03c444567d5bb10429b10f4d2ad9df493b0edcc9' -- 'skills/eval_pipeline/05-rag-eval' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/eval_pipeline/05-rag-eval' ~/.agents/skills/'rag-eval' && rm -rf "$d"; fi
Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'rag-eval' ~/.claude/skills/'rag-eval' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/agentscope-ai/OpenJudge/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-14 | 03c4445 | 95 |
| 2026-11-10 | 1c0e05a | 95 |
| 2026-11-08 | b83f446 | 95 |
| 2026-11-07 | b83f446 | 95 |