test

name	test
description	Full TDD red-green-refactor cycle with automatic framework detection
disable-model-invocation	true
allowed-tools	Read, Write, Edit, Bash, Glob, Grep
argument-hint	[task description]

/test -- Full TDD Red-Green-Refactor Cycle

Run a complete test-driven development cycle for the given task. Four phases: Discovery, Red, Green, Refactor, then final Verification.

Argument

A description of the feature or behavior to implement via TDD.

Procedure

Phase 0 -- Discovery

1. Detect the test framework by checking config files:

   • pyproject.toml, setup.cfg, pytest.ini for Python (pytest, unittest)
   • package.json for JS/TS (jest, vitest, mocha)
   • Cargo.toml for Rust
   • go.mod for Go
   • Fall back to asking the user if ambiguous

2. Identify the test command (e.g., pytest, npm test, cargo test)

3. Read 2-3 existing test files to learn project conventions:

   • File naming pattern (test_*.py, *.test.ts, etc.)
   • Import style, fixture usage, assertion style
   • Directory structure (tests/, __tests__/, co-located)

4. Confirm scope with the user before proceeding:

   • "I will write tests for [X] using [framework] in [directory]."
   • "Test cases planned: [list]"
   • Wait for user approval.

Phase 1 -- RED (Write Failing Tests)

Write comprehensive tests covering:

• Happy path (expected inputs produce expected outputs)
• Edge cases (empty inputs, boundary values, type variations)
• Error cases (invalid inputs, expected exceptions)
• Integration points (if the feature interacts with other modules)

Conventions to follow:

• Add docstrings to every test function explaining what it validates
• Use descriptive test names (test_returns_empty_list_when_no_matches)
• No emojis anywhere
• Follow existing project test patterns discovered in Phase 0

Run the tests:

source venv/bin/activate && [test command] [test file]

All tests MUST fail. If any test passes, it is not testing new behavior -- fix or remove it. A passing test in the RED phase means the test is not validating anything new.

Phase 2 -- GREEN (Minimum Implementation)

Implement the minimum code to make each test pass:

• Add docstrings with the algorithm in plain English, args, and input/output documentation
• For functions taking loose objects (dict, pandas DataFrame, list, etc.), write the expected schema explicitly in the docstring
• Add if __name__ == '__main__' blocks with hardcoded example inputs (no argparse)
• Use uv pip install for any new packages (never bare pip)
• Always source venv/bin/activate before running anything

After each implementation change, run the tests:

source venv/bin/activate && [test command] [test file]

If tests still fail, iterate. Maximum 10 attempts before stopping and reporting what is stuck. Do not loop infinitely.

Phase 3 -- REFACTOR

With all tests passing, clean up:

• Remove duplication in implementation code
• Improve variable/function naming for clarity
• Extract helpers only where they reduce genuine complexity (not for one-time operations)
• Ensure docstrings are accurate after changes

After EACH refactor step, run the tests:

source venv/bin/activate && [test command] [test file]

If any test fails after a refactor, revert that specific change immediately. Refactoring must not change behavior.

Phase 4 -- Verification

1. Run the full test suite (not just new tests):

   source venv/bin/activate && [test command]
   

2. Run the project linter if one is configured:

   • Check pyproject.toml for ruff/flake8/black config
   • Check package.json for eslint/prettier scripts
   • Run it and fix any issues in new code only

3. Report final status:

   ## TDD Cycle Complete
   
   Tests written: [count]
   Tests passing: [count]
   Implementation files: [list]
   Linter status: [pass/fail/not configured]
   
   ### Test Coverage
   - Happy path: [covered/not covered]
   - Edge cases: [covered/not covered]
   - Error cases: [covered/not covered]
   - Integration: [covered/not covered]
   

Important

• Never skip the RED phase. Tests must fail first to prove they test real behavior.
• Never skip running tests between changes. The cycle depends on continuous feedback.
• If the task is ambiguous, ask for clarification in Phase 0 before writing any tests.
• Keep test files focused. One test file per module/feature being tested.
• Do not refactor code outside the scope of this task.