Skills for Real Engineers. Straight from my .agents directory.
meta-eval
Agent skill fromagentscope-ai/OpenJudge
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.
How to install meta-eval
npx skills add agentscope-ai/OpenJudge# or add only this skill to Claude Code: copy the folder
skills/eval_pipeline/00-meta-eval/
# into
~/.claude/skills/00-meta-eval/ (all projects)
.claude/skills/00-meta-eval/ (one project)
1<HARD-GATE>2NO sub-skill recommendation WITHOUT identifying data_form + label_status (these two pick the entry workflow).3ALWAYS give a provisional recommendation once data_form + label_status are known, even if stakes/user_prior are still unknown — then ask the remaining questions to refine the downstream path. Do not withhold the route while waiting on stakes.4</HARD-GATE>56# Meta Eval78Entry router for the eval skill collection. You diagnose what the user has and route9them to the right sub-skill. You don't do evaluation yourself — you're the triage desk.1011Each sub-skill is self-contained: it carries inline the data shapes, statistics, and data12principles it needs, so it can be installed and used on its own.1314## Checklist1516You MUST create a task for each item and complete them in order:17181. **Ask 4 diagnostic questions** — data, labels, stakes, domain knowledge192. **Match triage table** — map user scenario to sub-skill203. **Recommend sub-skill** — tell the user which workflow to use and why214. **Record routing decision** — write a brief summary of what was diagnosed and recommended2223## Diagnostic Questions2425Ask these 4 questions (all at once — don't drip-feed):2627```28To route you to the right evaluation skill, I need to understand your situation:29301. What data do you have?31 a) Agent traces / production logs32 b) Product spec / design docs33 c) Nothing yet — starting from scratch34352. Do you have human labels?36 a) Yes, ≥50 labeled examples37 b) Some, but fewer than 5038…
Excerpt shown under the repository's Apache-2.0 license.
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