tdd-enforcement
Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.
npx skills add a5c-ai/babysitter --skill tdd-enforcement --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
- Write tests that define expected behavior - Tests MUST fail (exit code 1) - Use CI=true or --run flag, never watch mode - Apply timeout guards (60s) to prevent hanging - Record exit code as evidence ### 2. GREEN Phase - Minimal Implementation - Write the minimal code to make tests pass - Do NOT add features not covered by tests - Do NOT optimize prematurely - Tests MUST pass (exit code 0) - Record exit code as evidence ### 3. REFACTOR Phase - Quality Improvement - Apply SOLID principles and clean code patterns - Improve naming, reduce coupling - Remove duplication - Run tests after EACH refactoring step - Tests MUST remain passing (exit code 0) ### 4. Coverage Gate - Measure coverage: statements, branches, functions, lines - Minimum 80% overall coverage required - Iterate: write additional tests for gaps until threshold met - Maximum 3 convergence iterations ## Rules - Never skip the RED phase - Never accept GREEN without exit code 0 - Never use watch mode in CI - Always record evidence (exit codes, coverage numbers) - Enforce 80% coverage threshold ## When to Use - All code implementation tasks - Feature development - Bug fixes (write regression test first) ## Agents Used - `tdd
- 2. GREEN Phase - Minimal Implementation
- 3. REFACTOR Phase - Quality Improvement
- 4. Coverage Gate
- Rules
- When to Use
- Agents Used
What does the tdd-enforcement skill do?
Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill tdd-enforcement --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.