Autonomous Testing is a Quality skill for Claude Code, published by alinaqi in maggy.
Autonomous Testing generates, runs, evaluates, and fixes tests for a codebase by scanning for coverage gaps and using AI to classify failures. Use it for automated test creation, regression checks, and repair loops across Python, TypeScript, API, and web projects.
Autonomous Testing is cataloged under Quality on DirSkills. Autonomous Testing comes from a repository tagged ai-coding, claude, claude-code, developer-tools and project-initialization.
Documentation
An AI-driven testing agent that auto-discovers, generates, executes, evaluates, and fixes tests for any project type. Inspired by the edubites autonomous test runner pattern, generalized for Claude Bootstrap + Maggy.
Source Scan → Discover Gaps → Generate Tests → Execute → Evaluate → Report → Fix Loop
This is the opening of the README. Read the full README on GitHub.
Autonomous Testing is one of 25 skills that DirSkills catalogs from alinaqi/maggy, the repository it ships in. Its siblings there include AI Engine Optimization, AI Models Reference and AWS Aurora. Each one is a separate skill with its own page in this directory, installs the same way Autonomous Testing does, and is maintained by alinaqi in that same repository. The rest of the collection is listed on the alinaqi/maggy page.
Autonomous Testing ranks #1042 by stars among the 1354 Quality skills in this catalog. The most-starred ones next to it are Benchmark, Benchmark Optimization Loop and API Design Patterns. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Autonomous Testing against them. Open each page to compare what they document and how they install.
Autonomous Testing is one of 25 skills cataloged on DirSkills from alinaqi/maggy.
Autonomous Testing is one of 1354 Quality skills cataloged on DirSkills, ranked #1042 by stars among them.