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annotate-traces-for-review

100 / 100 · Low risk

Fine to try.

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

Use this to set up human review and annotation of LLM traces, so people (often domain experts) can label outputs, do error analysis, and build a trustworthy golden dataset. Trigger on "review my LLM outputs", "have an expert label these", "error analysis", "annotate traces", "build a golden dataset", or when automated evals are not enough for a high-stakes or specialized domain. Looking at your data is the highest-ROI thing you can do.

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