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Derive a focused verification set from changed behavior and affected callers.
Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions "pytest", "conftest", "@pytest.fixture", "@pytest.mark", "Python test".
---
name: pytest-skill
description: "Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions \"pytest\", \"conftest\", \"@pytest.fixture\", \"@pytest.mark\", \"Python test\"."
risk: critical
source: https://github.com/LambdaTest/agent-skills/tree/main/pytest-skill
source_repo: LambdaTest/agent-skills
source_type: community
date_added: 2026-07-01
license: MIT
license_source: https://github.com/LambdaTest/agent-skills/blob/main/LICENSE
---
# Pytest Testing Skill
## When to Use
Use this skill when you need generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions "pytest", "conftest", "@pytest.fixture", "@pytest.mark", "Python test". Triggers on: "pytest", "conftest", "Python test", "parametrize", "Python fixtures".
Examples with Calculator, Database, APIClient or myapp functions require the project’s actual imports; they are patterns, not a bundled application. Inspect tests/conftest/plugins before running: collection imports code and tests can send email, mutate databases or call external APIs. Use synthetic fixtures and isolated targets; mock at the namespace where the code looks up a dependency. pytest-mock, pytest-asyncio, pytest-cov and pytest-xdist are optional plugins required by their specific examples.
## Core Patterns
### Basic Test
```python
import pytest
def test_addition():
assert 2 + 3 == 5
def test_exception():
with pytest.raises(ValueError, match="invalid literal"):
int("not_a_number")
class TestCalculator:
def test_add(self):
calc = Calculator()
assert calc.add(2, 3) == 5
def test_divide_by_zero(self):
with pytest.raises(ZeroDivisionError):
Calculator().divide(10, 0)
```
### Fixtures
```python
@pytest.fixture
def calculator():
return Calculator()
@pytest.fixture
def db_connection():
conn = Database.connect("test_db")
try:
yield conn
finally:
try:
conn.rollback()
finally:
conn.close()
@pytest.fixture(scope="module")
def api_client():
client = APIClient(base_url="http://localhost:8000")
yield client
client.logout()
# conftest.py - shared fixtures
@pytest.fixture(autouse=True)
def reset_state():
State.reset()
yield
State.cleanup()
# Usage
def test_add(calculator):
assert calculator.add(2, 3) == 5
```
### Parametrize
```python
@pytest.mark.parametrize("input,expected", [
("hello", 5), ("", 0), ("pytest", 6),
])
def test_string_length(input, expected):
assert len(input) == expected
@pytest.mark.parametrize("a,b,expected", [
(2, 3, 5), (-1, 1, 0), (0, 0, 0),
])
def test_add(calculator, a, b, expected):
assert calculator.add(a, b) == expected
```
### Markers
```python
@pytest.mark.slow
def test_large_dataset(): ...
@pytest.mark.skip(reason="Not implemented")
def test_future_feature(): ...
import sys
@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_permissions(): ...
@pytest.mark.xfail(reason="Known bug #123")
def test_known_bug(): ...
```
### Mocking
```python
from unittest.mock import patch, MagicMock
def test_send_email(mocker):
mock_smtp = mocker.patch("myapp.email.smtplib.SMTP")
send_welcome_email("user@test.com")
mock_smtp.return_value.sendmail.assert_called_once()
def test_api_call(mocker):
mock_response = mocker.Mock()
mock_response.status_code = 200
mock_response.json.return_value = {"users": [{"name": "Alice"}]}
mocker.patch("myapp.service.requests.get", return_value=mock_response)
users = get_users()
assert len(users) == 1
@patch("myapp.service.database")
def test_save_user(mock_db):
mock_db.save.return_value = True
assert save_user({"name": "Alice"}) is True
mock_db.save.assert_called_once()
```
### Assertions
```python
assert x == y
assert x != y
assert x in collection
assert isinstance(obj, MyClass)
assert 0.1 + 0.2 == pytest.approx(0.3)
with pytest.raises(ValueError) as exc_info:
raise ValueError("bad")
assert "bad" in str(exc_info.value)
```
### Anti-Patterns
| Bad | Good | Why |
|-----|------|-----|
| `self.assertEqual()` | `assert x == y` | pytest rewrites give better output |
| Setup in `__init__` | `@pytest.fixture` | Lifecycle management |
| Global state | Fixture with `yield` | Proper cleanup |
| Huge test functions | Small focused tests | Easier debugging |
## Quick Reference
| Task | Command |
|------|---------|
| Run all | `pytest` |
| Run file | `pytest tests/test_login.py` |
| Run specific | `pytest tests/test_login.py::test_login_success` |
| By marker | `pytest -m slow` |
| By keyword | `pytest -k "login and not invalid"` |
| Verbose | `pytest -v` |
| Stop first fail | `pytest -x` |
| Last failed | `pytest --lf` |
| Coverage | `pytest --cov=myapp --cov-report=html` |
| Parallel | `pytest -n auto` (pytest-xdist) |
## pyproject.toml
```toml
[tool.pytest.ini_options]
testpaths = ["tests"]
markers = ["slow: slow tests", "integration: integration tests"]
addopts = "-v --tb=short"
```
## Deep Patterns
For production-grade patterns, see `reference/playbook.md`:
| Section | What's Inside |
|---------|--------------|
| §1 Config | pytest.ini + pyproject.toml with markers, coverage |
| §2 Fixtures | Scoping, factories, teardown, autouse, tmp_path |
| §3 Parametrize | Basic, with IDs, cartesian, indirect |
| §4 Mocking | pytest-mock, monkeypatch, spies, env vars |
| §5 Async | pytest-asyncio, async fixtures, async client |
| §6 Exceptions | pytest.raises(match=), warnings |
| §7 Markers & Plugins | Custom markers, collection hooks |
| §8 Class-Based | Nested classes, autouse setup |
| §9 CI/CD | GitHub Actions matrix, coverage gates |
| §10 Debugging Table | 10 common problems with fixes |
| §11 Best Practices | 15-item production checklist |
## Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
---
name: pytest-skill
description: "Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions \"pytest\", \"conftest\", \"@pytest.fixture\", \"@pytest.mark\", \"Python test\"."
risk: critical
source: https://github.com/LambdaTest/agent-skills/tree/main/pytest-skill
source_repo: LambdaTest/agent-skills
source_type: community
date_added: 2026-07-01
license: MIT
license_source: https://github.com/LambdaTest/agent-skills/blob/main/LICENSE
---
# Pytest Testing Skill
## When to Use
Use this skill when you need generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions "pytest", "conftest", "@pytest.fixture", "@pytest.mark", "Python test". Triggers on: "pytest", "conftest", "Python test", "parametrize", "Python fixtures".
Examples with Calculator, Database, APIClient or myapp functions require the project’s actual imports; they are patterns, not a bundled application. Inspect tests/conftest/plugins before running: collection imports code and tests can send email, mutate databases or call external APIs. Use synthetic fixtures and isolated targets; mock at the namespace where the code looks up a dependency. pytest-mock, pytest-asyncio, pytest-cov and pytest-xdist are optional plugins required by their specific examples.
## Core Patterns
### Basic Test
```python
import pytest
def test_addition():
assert 2 + 3 == 5
def test_exception():
with pytest.raises(ValueError, match="invalid literal"):
int("not_a_number")
class TestCalculator:
def test_add(self):
calc = Calculator()
assert calc.add(2, 3) == 5
def test_divide_by_zero(self):
with pytest.raises(ZeroDivisionError):
Calculator().divide(10, 0)
```
### Fixtures
```python
@pytest.fixture
def calculator():
return Calculator()
@pytest.fixture
def db_connection():
conn = Database.connect("test_db")
try:
yield conn
finally:
try:
conn.rollback()
finally:
conn.close()
@pytest.fixture(scope="module")
def api_client():
client = APIClient(base_url="http://localhost:8000")
yield client
client.logout()
# conftest.py - shared fixtures
@pytest.fixture(autouse=True)
def reset_state():
State.reset()
yield
State.cleanup()
# Usage
def test_add(calculator):
assert calculator.add(2, 3) == 5
```
### Parametrize
```python
@pytest.mark.parametrize("input,expected", [
("hello", 5), ("", 0), ("pytest", 6),
])
def test_string_length(input, expected):
assert len(input) == expected
@pytest.mark.parametrize("a,b,expected", [
(2, 3, 5), (-1, 1, 0), (0, 0, 0),
])
def test_add(calculator, a, b, expected):
assert calculator.add(a, b) == expected
```
### Markers
```python
@pytest.mark.slow
def test_large_dataset(): ...
@pytest.mark.skip(reason="Not implemented")
def test_future_feature(): ...
import sys
@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_permissions(): ...
@pytest.mark.xfail(reason="Known bug #123")
def test_known_bug(): ...
```
### Mocking
```python
from unittest.mock import patch, MagicMock
def test_send_email(mocker):
mock_smtp = mocker.patch("myapp.email.smtplib.SMTP")
send_welcome_email("user@test.com")
mock_smtp.return_value.sendmail.assert_called_once()
def test_api_call(mocker):
mock_response = mocker.Mock()
mock_response.status_code = 200
mock_response.json.return_value = {"users": [{"name": "Alice"}]}
mocker.patch("myapp.service.requests.get", return_value=mock_response)
users = get_users()
assert len(users) == 1
@patch("myapp.service.database")
def test_save_user(mock_db):
mock_db.save.return_value = True
assert save_user({"name": "Alice"}) is True
mock_db.save.assert_called_once()
```
### Assertions
```python
assert x == y
assert x != y
assert x in collection
assert isinstance(obj, MyClass)
assert 0.1 + 0.2 == pytest.approx(0.3)
with pytest.raises(ValueError) as exc_info:
raise ValueError("bad")
assert "bad" in str(exc_info.value)
```
### Anti-Patterns
| Bad | Good | Why |
|-----|------|-----|
| `self.assertEqual()` | `assert x == y` | pytest rewrites give better output |
| Setup in `__init__` | `@pytest.fixture` | Lifecycle management |
| Global state | Fixture with `yield` | Proper cleanup |
| Huge test functions | Small focused tests | Easier debugging |
## Quick Reference
| Task | Command |
|------|---------|
| Run all | `pytest` |
| Run file | `pytest tests/test_login.py` |
| Run specific | `pytest tests/test_login.py::test_login_success` |
| By marker | `pytest -m slow` |
| By keyword | `pytest -k "login and not invalid"` |
| Verbose | `pytest -v` |
| Stop first fail | `pytest -x` |
| Last failed | `pytest --lf` |
| Coverage | `pytest --cov=myapp --cov-report=html` |
| Parallel | `pytest -n auto` (pytest-xdist) |
## pyproject.toml
```toml
[tool.pytest.ini_options]
testpaths = ["tests"]
markers = ["slow: slow tests", "integration: integration tests"]
addopts = "-v --tb=short"
```
## Deep Patterns
For production-grade patterns, see `reference/playbook.md`:
| Section | What's Inside |
|---------|--------------|
| §1 Config | pytest.ini + pyproject.toml with markers, coverage |
| §2 Fixtures | Scoping, factories, teardown, autouse, tmp_path |
| §3 Parametrize | Basic, with IDs, cartesian, indirect |
| §4 Mocking | pytest-mock, monkeypatch, spies, env vars |
| §5 Async | pytest-asyncio, async fixtures, async client |
| §6 Exceptions | pytest.raises(match=), warnings |
| §7 Markers & Plugins | Custom markers, collection hooks |
| §8 Class-Based | Nested classes, autouse setup |
| §9 CI/CD | GitHub Actions matrix, coverage gates |
| §10 Debugging Table | 10 common problems with fixes |
| §11 Best Practices | 15-item production checklist |
## Limitations
- Use this skill only when the task clearly matches its upstream source and local project context.
- Verify commands, generated code, dependencies, credentials, and external service behavior before applying changes.
- Do not treat examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
Imported SKILL.md format for Claude Code, Codex and Cursor. Review the complete instructions and required tools before use. Package integrity checked; individual agent behavior has not been tested.