test-driven-development · nousresearch — Claude Code skill: RED-GREEN-REFACTOR
Skill that embeds TDD into your workflow: write the test first, watch it fail, then code. Forces you to see failing tests before implementation, reducing bugs and enabling safe refactoring.
npx skills add NousResearch/hermes-agent --skill test-driven-development -a claude-codeWhat test-driven-development does
The skill enforces the RED-GREEN-REFACTOR cycle: write a minimal test and verify it fails (mandatory), write just enough code to pass, then refactor without adding features. Core principle: if you didn't watch the test fail, you don't know whether it tests the right thing.
RED requires one test per behavior, with a clear descriptive name, on real code not mocks. GREEN allows cheating—hardcode returns, copy-paste, skip edge cases. REFACTOR removes duplication, improves names, extracts helpers, keeping tests green throughout.
The skill addresses common rationalizations head-on: "too simple to test", "I'll test after", "I already manual-tested everything". Each gets a counter: tests-after pass immediately and prove nothing; manual testing is ad-hoc and irreproducible; the cost is already paid—keeping unverified code is costlier than rewriting with TDD. Good tests document behavior, fail when you change things, and catch regressions automatically.
What it helps with
- write a failing test before implementing the feature
- implement minimal code to pass the test
- catch bugs that manual testing misses
- refactor safely without breaking working code
- explain why TDD is faster than debugging in production
Example prompts for the agent
- Write a test for a retry_operation function that retries three times, then implement it
- Walk me through RED-GREEN-REFACTOR to build a JSON parser
- Convince me why writing tests after code doesn't work
How to install test-driven-development
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill test-driven-development -a claude-code2Manually: put the files in place
~/.claude/skills/test-driven-development/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/test-driven-development/
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill test-driven-development -a codex2Manually: put the files in place
.agents/skills/test-driven-development/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill test-driven-development -a cursor2Manually: put the files in place
.cursor/skills/test-driven-development/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install NousResearch/hermes-agent test-driven-development2Manually: put the files in place
.github/skills/test-driven-development/SKILL.md1Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill test-driven-development -a gemini-cli2Platform CLI
gemini skills install https://github.com/NousResearch/hermes-agent --path skills/software-development/test-driven-developmentManually: put the files in place
.devin/skills/test-driven-development/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add NousResearch/hermes-agent --skill test-driven-development -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set42
The whole set →Other versions of test-driven-development
Similar
Questions about test-driven-development
How do I install test-driven-development in Claude Code?
Run npx skills add NousResearch/hermes-agent --skill test-driven-development -a claude-code. The skill will be available at ~/.claude/skills/test-driven-development/SKILL.md.
What does this skill do?
It embeds the RED-GREEN-REFACTOR cycle into your work: test first, minimal code to pass, then refactor. The key: you must watch the test fail before writing any implementation.
Why write tests before code?
Tests written after code pass immediately, proving nothing. Seeing a test fail first proves it actually tests something. TDD also surfaces edge cases before they reach production, and makes refactoring safe.
Source text
SKILL.md · MIT
---
name: test-driven-development
description: "TDD: enforce RED-GREEN-REFACTOR, tests before code."
version: 1.1.0
author: Hermes Agent (adapted from obra/superpowers)
license: MIT
platforms: [linux, macos, windows]
metadata:
hermes:
tags: [testing, tdd, development, quality, red-green-refactor]
related_skills: [systematic-debugging, subagent-driven-development]
---
# Test-Driven Development (TDD)
## Overview
Write the test first. Watch it fail. Write minimal code to pass.
**Core principle:** If you didn't watch the test fail, you don't know if it tests the right thing.
**Violating the letter of the rules is violating the spirit of the rules.**
## When to Use
**Always:**
- New features
- Bug fixes
- Refactoring
- Behavior changes
**Exceptions (ask the user first):**
- Throwaway prototypes
- Generated code
- Configuration files
Thinking "skip TDD just this once"? Stop. That's rationalization.
## The Iron Law
```
NO PRODUCTION CODE WITHOUT A FAILING TEST FIRST
```
Write code before the test? Delete it. Start over.
**No exceptions:**
- Don't keep it as "reference"
- Don't "adapt" it while writing tests
- Don't look at it
- Delete means delete
Implement fresh from tests. Period.
## Red-Green-Refactor Cycle
### RED — Write Failing Test
Write one minimal test showing what should happen.
**Good test:**
```python
def test_retries_failed_operations_3_times():
attempts = 0
def operation():
nonlocal attempts
attempts += 1
if attempts < 3:
raise Exception('fail')
return 'success'
result = retry_operation(operation)
assert result == 'success'
assert attempts == 3
```
Clear name, tests real behavior, one thing.
**Bad test:**
```python
def test_retry_works():
mock = MagicMock()
mock.side_effect = [Exception(), Exception(), 'success']
result = retry_operation(mock)
assert result == 'success' # What about retry count? Timing?
```
Vague name, tests mock not real code.
**Requirements:**
- One behavior per test
- Clear descriptive name ("and" in name? Split it)
- Real code, not mocks (unless truly unavoidable)
- Name describes behavior, not implementation
### Verify RED — Watch It Fail
**MANDATORY. Never skip.**
```bash
# Use terminal tool to run the specific test
pytest tests/test_feature.py::test_specific_behavior -v
```
Confirm:
- Test fails (not errors from typos)
- Failure message is expected
- Fails because the feature is missing
**Test passes immediately?** You're testing existing behavior. Fix the test.
**Test errors?** Fix the error, re-run until it fails correctly.
### GREEN — Minimal Code
Write the simplest code to pass the test. Nothing more.
**Good:**
```python
def add(a, b):
return a + b # Nothing extra
```
**Bad:**
```python
def add(a, b):
result = a + b
logging.info(f"Adding {a} + {b} = {result}") # Extra!
return result
```
Don't add features, refactor other code, or "improve" beyond the test.
**Cheating is OK in GREEN:**
- Hardcode return values
- Copy-paste
- Duplicate code
- Skip edge cases
We'll fix it in REFACTOR.
### Verify GREEN — Watch It Pass
**MANDATORY.**
```bash
# Run the specific test
pytest tests/test_feature.py::test_specific_behavior -v
# Then run ALL tests to check for regressions
pytest tests/ -q
```
Confirm:
- Test passes
- Other tests still pass
- Output pristine (no errors, warnings)
**Test fails?** Fix the code, not the test.
**Other tests fail?** Fix regressions now.
### REFACTOR — Clean Up
After green only:
- Remove duplication
- Improve names
- Extract helpers
- Simplify expressions
Keep tests green throughout. Don't add behavior.
**If tests fail during refactor:** Undo immediately. Take smaller steps.
### Repeat
Next failing test for next behavior. One cycle at a time.
## Avoid Horizontal Slices
Do **not** write all tests first and then all implementation. That is horizontal slicing: RED becomes "write a pile of imagined tests" and GREEN becomes "make the pile pass." It produces brittle tests because the tests are designed before the implementation has taught you what behavior and interface actually matter.
Use vertical tracer bullets instead:
```text
WRONG:
RED: test1, test2, test3, test4
GREEN: impl1, impl2, impl3, impl4
RIGHT:
RED→GREEN: test1→impl1
RED→GREEN: test2→impl2
RED→GREEN: test3→impl3
```
A tracer bullet is one end-to-end behavior slice. It proves the path works, teaches you about the interface, and keeps each next test grounded in what you just learned.
## Why Order Matters
**"I'll write tests after to verify it works"**
Tests written after code pass immediately. Passing immediately proves nothing:
- Might test the wrong thing
- Might test implementation, not behavior
- Might miss edge cases you forgot
- You never saw it catch the bug
Test-first forces you to see the test fail, proving it actually tests something.
**"I already manually tested all the edge cases"**
Manual testing is ad-hoc. You think you tested everything but:
- No record of what you tested
- Can't re-run when code changes
- Easy to forget cases under pressure
- "It worked when I tried it" ≠ comprehensive
Automated tests are systematic. They run the same way every time.
**"Deleting X hours of work is wasteful"**
Sunk cost fallacy. The time is already gone. Your choice now:
- Delete and rewrite with TDD (high confidence)
- Keep it and add tests after (low confidence, likely bugs)
The "waste" is keeping code you can't trust.
**"TDD is dogmatic, being pragmatic means adapting"**
TDD IS pragmatic:
- Finds bugs before commit (faster than debugging after)
- Prevents regressions (tests catch breaks immediately)
- Documents behavior (tests show how to use code)
- Enables refactoring (change freely, tests catch breaks)
"Pragmatic" shortcuts = debugging in production = slower.
**"Tests after achieve the same goals — it's spirit not ritual"**
No. Tests-after answer "What does this do?" Tests-first answer "What should this do?"
Tests-after are biased by your implementation. You test what you built, not what's required. Tests-first force edge case discovery before implementing.
## Common Rationalizations
| Excuse | Reality |
|--------|---------|
| "Too simple to test" | Simple code breaks. Test takes 30 seconds. |
| "I'll test after" | Tests passing immediately prove nothing. |
| "Tests after achieve same goals" | Tests-after = "what does this do?" Tests-first = "what should this do?" |
| "Already manually tested" | Ad-hoc ≠ systematic. No record, can't re-run. |
| "Deleting X hours is wasteful" | Sunk cost fallacy. Keeping unverified code is technical debt. |
| "Keep as reference, write tests first" | You'll adapt it. That's testing after. Delete means delete. |
| "Need to explore first" | Fine. Throw away exploration, start with TDD. |
| "Test hard = design unclear" | Listen to the test. Hard to test = hard to use. |
| "TDD will slow me down" | TDD faster than debugging. Pragmatic = test-first. |
| "Manual test faster" | Manual doesn't prove edge cases. You'll re-test every change. |
| "Existing code has no tests" | You're improving it. Add tests for the code you touch. |
## Red Flags — STOP and Start Over
If you catch yourself doing any of these, delete the code and restart with TDD:
- Code before test
- Test after implementation
- Test passes immediately on first run
- Can't explain why test failed
- Tests added "later"
- Rationalizing "just this once"
- "I already manually tested it"
- "Tests after achieve the same purpose"
- "Keep as reference" or "adapt existing code"
- "Already spent X hours, deleting is wasteful"
- "TDD is dogmatic, I'm being pragmatic"
- "This is different because..."
**All of these mean: Delete code. Start over with TDD.**
## Verification Checklist
Before marking work complete:
- [ ] Every new function/method has a test
- [ ] Watched each test fail before implementing
- [ ] Each test failed for expected reason (feature missing, not typo)
- [ ] Wrote minimal code to pass each test
- [ ] All tests pass
- [ ] Output pristine (no errors, warnings)
- [ ] Tests use real code (mocks only if unavoidable)
- [ ] Edge cases and errors covered
Can't check all boxes? You skipped TDD. Start over.
## When Stuck
| Problem | Solution |
|---------|----------|
| Don't know how to test | Write the wished-for API. Write the assertion first. Ask the user. |
| Test too complicated | Design too complicated. Simplify the interface. |
| Must mock everything | Code too coupled. Use dependency injection. |
| Test setup huge | Extract helpers. Still complex? Simplify the design. |
## Hermes Agent Integration
### Running Tests
Use the `terminal` tool to run tests at each step:
```python
# RED — verify failure
terminal("pytest tests/test_feature.py::test_name -v")
# GREEN — verify pass
terminal("pytest tests/test_feature.py::test_name -v")
# Full suite — verify no regressions
terminal("pytest tests/ -q")
```
### With delegate_task
When dispatching subagents for implementation, enforce TDD in the goal:
```python
delegate_task(
goal="Implement [feature] using strict TDD",
context="""
Follow test-driven-development skill:
1. Write failing test FIRST
2. Run test to verify it fails
3. Write minimal code to pass
4. Run test to verify it passes
5. Refactor if needed
6. Commit
Project test command: pytest tests/ -q
Project structure: [describe relevant files]
""",
toolsets=['terminal', 'file']
)
```
### With systematic-debugging
Bug found? Write failing test reproducing it. Follow TDD cycle. The test proves the fix and prevents regression.
Never fix bugs without a test.
## Testing Anti-Patterns
- **Testing mock behavior instead of real behavior** — mocks should verify interactions, not replace the system under test
- **Testing implementation details** — test behavior/results, not internal method calls
- **Happy path only** — always test edge cases, errors, and boundaries
- **Brittle tests** — tests should verify behavior, not structure; refactoring shouldn't break them
## Final Rule
```
Production code → test exists and failed first
Otherwise → not TDD
```
No exceptions without the user's explicit permission.
© Hermes Agent (adapted from obra/superpowers) · MIT · NousResearch/hermes-agent