aaid-tdd-workflow
aaid-tdd-workflow is a Test-driven development skill for AI agents, published by dawid-dahl-umain in the augmented-ai-development repository on GitHub. Skillspace rates aaid-tdd-workflow D (62/100) and it passed the safety scan; the rating is based on static analysis only.
AAID (Augmented AI Development) - TDD workflow enforcing disciplined RED/GREEN/REFACTOR cycles where the developer maintains architectural control and reviews all AI-generated code. Use when the user initiates TDD or references AAID. Trigger phrases include: "start TDD", "begin AAID", "use test list", "RED phase", "GREEN phase", "REFACTOR phase", "write test", "test for", "red", "next test", "make pass", "implement", "green", "refactor", "improve", "clean up". Also activate when user asks to write a failing test, make a test pass, or refactor with tests green, or when currently in an active TDD cycle that hasn't completed. Do NOT activate for general programming questions, architecture discussions, context sharing, or non-TDD tasks.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 24
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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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