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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.

Install

npx skills add HeshamFS/materials-simulation-skills --skill skill-evaluator -a claude-code

Installs to .claude/skills/skill-evaluator/ · Each command fetches the skill straight from GitHub with the open skills CLI.

Download .zip

Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.

Want your agent to suggest skills while you type? See how to use skills from your IDE.

Safety checks on SKILL.md

  • Ships scripts we have not reviewedLow

Why 77

Security85
Provenance63
Maintenance100
Licence100
Adoption34

aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.

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