Registry indexed
Enforces a test-driven bug-fixing workflow. Use when a user reports a bug, failing code, an error, or asks to fix something.
Enforces a test-driven bug-fixing workflow. Use when a user reports a bug, failing code, an error, or asks to fix something.
Source documentation, not instructions for this website. Review permissions before running any commands.
Enforce a disciplined bug-fixing workflow that prevents regression and parallelizes fix attempts.
When a bug is reported, follow these steps in order:
tests/, __tests__/, spec/, *.test.*, *.spec.* patterns)subagent_type=general-purpose to attempt fixesName the test to describe the bug:
# Python (pytest)
def test_user_login_fails_when_email_has_uppercase():
...
# Python (unittest)
def test_should_handle_empty_input_without_crashing(self):
...
// JavaScript (Jest/Vitest)
it('should not crash when input array is empty', () => { ... });
test('handles special characters in username', () => { ... });
// TypeScript
describe('UserService', () => {
it('returns null when user not found instead of throwing', () => { ... });
});
Every bug reproduction test follows this pattern:
def test_bug_description():
# 1. ARRANGE - Set up the conditions that trigger the bug
input_data = create_problematic_input()
# 2. ACT - Perform the action that causes the bug
result = function_under_test(input_data)
# 3. ASSERT - Verify the expected (correct) behavior
assert result == expected_value # This should FAIL initially
Check the project structure for existing test patterns:
# Find test files
find . -name "*.test.*" -o -name "*.spec.*" -o -name "test_*.py" | head -20
# Find test directories
ls -la tests/ __tests__/ spec/ test/ 2>/dev/null
# Check package.json for test command
grep -A5 '"test"' package.json
Use the Task tool to parallelize fix attempts:
Task tool parameters:
- subagent_type: "general-purpose"
- description: "Fix [bug description]"
- prompt: Include:
1. The bug description
2. The failing test location and contents
3. Suspected cause (if known)
4. Constraint: "Run the test to verify your fix works"
Launch multiple subagents with different approaches:
If the project has no test infrastructure:
# Python
pip install pytest
mkdir -p tests && touch tests/__init__.py
# JavaScript/TypeScript
npm install --save-dev jest
# or
npm install --save-dev vitest
# Go
# Tests are built-in, create *_test.go files
After subagent reports completion:
# Run the specific test
pytest tests/test_module.py::test_bug_description -v
npm test -- --grep "bug description"
go test -run TestBugDescription -v
# Run full suite to check for regressions
pytest
npm test
go test ./...
User reports: "The login function crashes when email has spaces"
Phase 1, Write failing test:
# tests/test_auth.py
def test_login_handles_email_with_spaces():
"""Bug: Login crashes when email contains spaces"""
auth = AuthService()
# This should return an error, not crash
result = auth.login("user @example.com", "password")
assert result.success == False
assert "invalid email" in result.error.lower()
Run test to confirm it fails:
pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
# Expected: FAILED (demonstrates the bug)
Phase 2, Launch subagent:
Task tool:
- subagent_type: "general-purpose"
- description: "Fix email space crash"
- prompt: "Fix the login crash when email contains spaces.
Bug: AuthService.login() crashes instead of returning error when email has spaces.
Failing test: tests/test_auth.py::test_login_handles_email_with_spaces
After fixing, run: pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
The test must pass to confirm the fix."
Phase 3, Verify:
# Specific test passes
pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
# PASSED
# No regressions
pytest tests/test_auth.py -v
# All tests pass
The bug-report-detector hook in this plugin automatically:
references/test-frameworks.md, Framework-specific test patternsreferences/common-bugs.md, Common bug patterns and test strategiesexamples/python-bug-test.py, Python pytest exampleexamples/js-bug-test.js, JavaScript Jest examplescripts/find-tests.sh, Locate test infrastructure in a projectname: test-first-bugs description: Enforces a test-driven bug-fixing workflow. Use when a user reports a bug, failing code, an error, or asks to fix something.
---
name: test-first-bugs
description: Enforces a test-driven bug-fixing workflow. Use when a user reports a bug, failing code, an error, or asks to fix something.
---
# Test-first bug fixing
Enforce a disciplined bug-fixing workflow that prevents regression and parallelizes fix attempts.
## Core workflow
When a bug is reported, follow these steps in order:
### Phase 1: Reproduce and document
1. **Understand the bug**, Gather details about expected vs actual behavior
2. **Identify the test location**, Determine where tests live in the project (check for `tests/`, `__tests__/`, `spec/`, `*.test.*`, `*.spec.*` patterns)
3. **Write a failing test**, Create a test that demonstrates the bug
### Phase 2: Fix with subagents
4. **Launch fix subagents**, Use the Task tool with `subagent_type=general-purpose` to attempt fixes
5. **Run the test**, Verify the fix by running the specific test
6. **Iterate if needed**, If test still fails, launch additional subagents with new approaches
### Phase 3: Verify and complete
7. **Run full test suite**, Ensure no regressions were introduced
8. **Report success**, Confirm the bug is fixed with passing test as proof
## Writing the failing test
### Test naming convention
Name the test to describe the bug:
```python
# Python (pytest)
def test_user_login_fails_when_email_has_uppercase():
...
# Python (unittest)
def test_should_handle_empty_input_without_crashing(self):
...
```
```javascript
// JavaScript (Jest/Vitest)
it('should not crash when input array is empty', () => { ... });
test('handles special characters in username', () => { ... });
```
```typescript
// TypeScript
describe('UserService', () => {
it('returns null when user not found instead of throwing', () => { ... });
});
```
### Test structure
Every bug reproduction test follows this pattern:
```python
def test_bug_description():
# 1. ARRANGE - Set up the conditions that trigger the bug
input_data = create_problematic_input()
# 2. ACT - Perform the action that causes the bug
result = function_under_test(input_data)
# 3. ASSERT - Verify the expected (correct) behavior
assert result == expected_value # This should FAIL initially
```
### Finding the right test file
Check the project structure for existing test patterns:
```bash
# Find test files
find . -name "*.test.*" -o -name "*.spec.*" -o -name "test_*.py" | head -20
# Find test directories
ls -la tests/ __tests__/ spec/ test/ 2>/dev/null
# Check package.json for test command
grep -A5 '"test"' package.json
```
## Launching fix subagents
Use the Task tool to parallelize fix attempts:
```
Task tool parameters:
- subagent_type: "general-purpose"
- description: "Fix [bug description]"
- prompt: Include:
1. The bug description
2. The failing test location and contents
3. Suspected cause (if known)
4. Constraint: "Run the test to verify your fix works"
```
### Parallel fix strategies
Launch multiple subagents with different approaches:
1. **Direct fix agent**, Focus on the immediate code causing the bug
2. **Root cause agent**, Investigate deeper architectural issues
3. **Edge case agent**, Look for similar bugs in related code
## When projects lack tests
If the project has no test infrastructure:
1. **Set up minimal test framework** first
2. **Create the test file** in a sensible location
3. **Document the test setup** for future use
### Quick test setup commands
```bash
# Python
pip install pytest
mkdir -p tests && touch tests/__init__.py
# JavaScript/TypeScript
npm install --save-dev jest
# or
npm install --save-dev vitest
# Go
# Tests are built-in, create *_test.go files
```
## Verifying the fix
After subagent reports completion:
```bash
# Run the specific test
pytest tests/test_module.py::test_bug_description -v
npm test -- --grep "bug description"
go test -run TestBugDescription -v
# Run full suite to check for regressions
pytest
npm test
go test ./...
```
## Example workflow
**User reports:** "The login function crashes when email has spaces"
**Phase 1, Write failing test:**
```python
# tests/test_auth.py
def test_login_handles_email_with_spaces():
"""Bug: Login crashes when email contains spaces"""
auth = AuthService()
# This should return an error, not crash
result = auth.login("user @example.com", "password")
assert result.success == False
assert "invalid email" in result.error.lower()
```
**Run test to confirm it fails:**
```bash
pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
# Expected: FAILED (demonstrates the bug)
```
**Phase 2, Launch subagent:**
```
Task tool:
- subagent_type: "general-purpose"
- description: "Fix email space crash"
- prompt: "Fix the login crash when email contains spaces.
Bug: AuthService.login() crashes instead of returning error when email has spaces.
Failing test: tests/test_auth.py::test_login_handles_email_with_spaces
After fixing, run: pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
The test must pass to confirm the fix."
```
**Phase 3, Verify:**
```bash
# Specific test passes
pytest tests/test_auth.py::test_login_handles_email_with_spaces -v
# PASSED
# No regressions
pytest tests/test_auth.py -v
# All tests pass
```
## Integration with hooks
The `bug-report-detector` hook in this plugin automatically:
1. Detects when a user reports a bug
2. Reminds Claude to follow the test-first workflow
3. Blocks Edit/Write tools until a test file has been created or modified
## Additional resources
### Reference files
- **`references/test-frameworks.md`**, Framework-specific test patterns
- **`references/common-bugs.md`**, Common bug patterns and test strategies
### Example files
- **`examples/python-bug-test.py`**, Python pytest example
- **`examples/js-bug-test.js`**, JavaScript Jest example
### Scripts
- **`scripts/find-tests.sh`**, Locate test infrastructure in a project
Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: MIT
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
73/100
Strong
Trust
59/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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Audit
77/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.