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meta-eval

100 / 100 · Low risk

Fine to try.

By agentscope-ai/OpenJudge (GitHub) · coding · 1,101 stars · scanned at commit 03c4445

Use when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.

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/'meta-eval' ] || [ -L ~/.agents/skills/'meta-eval' ]; then echo 'A skill folder named meta-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 "$d" checkout --quiet '03c444567d5bb10429b10f4d2ad9df493b0edcc9' -- 'skills/eval_pipeline/00-meta-eval' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/eval_pipeline/00-meta-eval' ~/.agents/skills/'meta-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/'meta-eval' ~/.claude/skills/'meta-eval' (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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