Rigorously evaluate an Agent Skill end-to-end across ANY coding-agent CLI — verify its scripts emit the documented numbers (deterministic checks), test whether its description triggers on the right prompts, and measure whether an agent following the SKILL.md beats a no-skill baseline (with/without pass-rate delta, mean ± stddev, benchmarked). Use whenever you need to test, benchmark, validate, grade, or quantify a skill's quality, check if a skill "actually works," compare two skill versions, optimize a skill's triggering, or set up an eval suite — even if the user just says "is this skill any good," "does my skill work," or "benchmark this skill." Drives Claude Code, OpenAI Codex, Antigravity (agy), Cursor, GitHub Copilot, Amp, opencode, or Grok in headless mode.
How to install skill-evaluator?
heshamfs/materials-simulation-skills/skill-evaluator
$npx -y skills add heshamfs/materials-simulation-skills --skill skill-evaluatorInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/heshamfs/materials-simulation-skills" --skill "heshamfs/materials-simulation-skills/skill-evaluator"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/heshamfs/materials-simulation-skills" that are relevant to the current task. Run `npx skills add "https://github.com/heshamfs/materials-simulation-skills"` and select the relevant skills, then follow their instructions.
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