Tests and scores any Agent Skill against the official anthropics/skills specification. Use this skill when you need to check if a skill repository or SKILL.md file is compliant with the Agent Skills standard, audit skill quality, get a compliance score, or receive specific improvement suggestions.
Automated end-to-end testing for AI agent skills(agentskills.io). Launches Claude Code and Cursor as subprocesses, runs scenarios in real workspaces, and asserts what the model actually does.
B/O/E evaluation framework for SKILL.md-based LLM operating systems and agent hubs
CLI runner for testing AI coding-agent Skills with sandboxed workspaces, deterministic assertions, provider adapters, and CI-ready reports.
Testing harness for AI agent skills and plugins — contract-driven YAML specs with mocked environments
Test and validate OpenClaw skills locally before publishing to ClawHub — checks triggers, env vars, scripts, and SKILL.md completeness without needing a live agent. Zero dependencies.
Quality gate for Agent Skills: inspect, pressure test, validate, and grade skills before release.
Agent Skill Infrastructure: quality check, behavior test runner, version awareness
Automated QA system for Claude Code skills. Discovers skills, generates tests, captures screenshots, scores quality (A-F grades), and publishes an interactive dashboard.
Add a description, image, and links to the skill-testing topic page so that developers can more easily learn about it.
To associate your repository with the skill-testing topic, visit your repo's landing page and select "manage topics."