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measure-agent-task-success

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 whether an AI agent actually completed its task end to end, not just whether individual LLM calls looked fine. Trigger on "is my agent working", "measure agent success rate", "evaluate my agent", "how good is my agent", "agent completion rate", or evaluating a multi-step/tool-using agent. Score the outcome of the whole task, plus the path it took.

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