autonomous-tdd-agent
autonomous-tdd-agent is a Test-driven development skill for AI agents, published by SHAdd0WTAka in the Zen-Ai-Pentest repository on GitHub. Skillspace rates autonomous-tdd-agent D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous Test-Driven Development Agent workflow for implementing features without human intervention. Use this skill when: - Implementing new features from failing tests - Fixing broken test suites - Creating production-ready code with test coverage - Working in TDD mode with minimal guidance The skill provides a 6-step autonomous loop: analyze tests → implement → predict → iterate → refactor → summarize. Works with any Python project using pytest.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 414
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 82 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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