llm-evals
85 / 100 · Low risk
Fine to try.
Evaluate and regression-test LLM features and agents with trace error analysis, binary graders, code assertions, validated judges, and CI thresholds. Use when building an eval suite, checking a prompt or model change, or measuring agent quality.
What this skill can do
Downloads and installs other software
Install
Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.
if [ -e ~/.agents/skills/'llm-evals' ] || [ -L ~/.agents/skills/'llm-evals' ]; then echo 'A skill folder named llm-evals already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/krzysztofsurdy/code-virtuoso' "$d" && git -C "$d" checkout --quiet '70f43af39f2c4f9101e0c1e0ecaec7df543d35c8' -- 'skills/ai/llm-evals' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/ai/llm-evals' ~/.agents/skills/'llm-evals' && 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/'llm-evals' ~/.claude/skills/'llm-evals' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/krzysztofsurdy/code-virtuoso/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 70f43af | 85 |