Test that your Claude Code skills, MCP servers, and CLIs actually work when an agent uses them — sandboxed YAML suites, activation checks, A/B experiments, CI gates.

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.

🧪 A/B test your agent skills — skillcheck measures whether a SKILL.md actually improves an LLM's task performance, with blind grading, bootstrap confidence intervals, and a 0–100 score. CLI for Claude Code, Codex & Cursor skills.

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

Validate, pressure-test, and release-gate SKILL.md packages for OpenAI and portable agent runtimes.

Behavioral test harness for Claude Code skills — run a skill in an isolated fixture and assert on what it actually does

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.

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.