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monitor-rag-quality

100 / 100 · Low risk

Fine to try.

By ContextJet-ai/awesome-llm-observability (GitHub) · security · 48 stars · scanned at commit 5c10e28

Use this to measure and monitor the quality of a RAG (retrieval-augmented generation) pipeline - whether it retrieves the right context and answers faithfully. Trigger on "my RAG gives wrong answers", "is my retrieval any good", "the chatbot makes things up", "evaluate my RAG", "improve RAG accuracy". Diagnose whether the failure is in retrieval or generation - they need different fixes.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'monitor-rag-quality' ] || [ -L ~/.agents/skills/'monitor-rag-quality' ]; then echo 'A skill folder named monitor-rag-quality already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/ContextJet-ai/awesome-llm-observability' "$d" && git -C "$d" checkout --quiet '5c10e286ca717b1dd556df7242957fee1efd9d4a' -- 'skills/monitor-rag-quality' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/monitor-rag-quality' ~/.agents/skills/'monitor-rag-quality' && 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/'monitor-rag-quality' ~/.claude/skills/'monitor-rag-quality' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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