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build-eval-dataset

100 / 100 · Low risk

Fine to try.

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

Use this to build a good evaluation dataset for an LLM app, the part everyone underestimates. Trigger on "make an eval set", "what should I test my LLM on", "I don't have test data for my prompt", "build a golden dataset", or before setting up evals. A great eval set beats a great metric; garbage-in means your evals lie to you.

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/'build-eval-dataset' ] || [ -L ~/.agents/skills/'build-eval-dataset' ]; then echo 'A skill folder named build-eval-dataset 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 "$d" checkout --quiet '5c10e286ca717b1dd556df7242957fee1efd9d4a' -- 'skills/build-eval-dataset' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/build-eval-dataset' ~/.agents/skills/'build-eval-dataset' && 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/'build-eval-dataset' ~/.claude/skills/'build-eval-dataset' (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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