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Tdd Pytest

  • 51 installs
  • 4 repo stars
  • Updated April 11, 2026
  • 89jobrien/steve

tdd-pytest is a Claude Code skill for test-driven development in Python using pytest, uv, and pyproject.toml configuration.

About

tdd-pytest is a Claude Code skill for test-driven development in Python with pytest. It guides the Red-Green-Refactor cycle, writes and audits tests, runs pytest with coverage using uv, and configures pytest in pyproject.toml. Developers use it when writing Python tests or setting up test infrastructure. It also generates a testing report with coverage metrics and findings.

  • Python/pytest TDD specialist following the Red-Green-Refactor cycle
  • Configures pytest in pyproject.toml and runs tests with uv and coverage
  • Generates a TESTING_REPORT.local.md with coverage metrics and audit findings

Tdd Pytest by the numbers

  • 51 all-time installs (skills.sh)
  • Ranked #1,221 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
At a glance

tdd-pytest capabilities & compatibility

Capabilities
test writing · test audit · coverage analysis · pytest config
Use cases
testing · debugging
From the docs

What tdd-pytest says it does

Python/pytest TDD specialist for test-driven development workflows.
SKILL.md
Red-Green-Refactor Cycle
SKILL.md
npx skills add https://github.com/89jobrien/steve --skill tdd-pytest

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Listed on Skillselion
Installs51
repo stars4
Last updatedApril 11, 2026
Repository89jobrien/steve

What it does

Write and audit Python tests with pytest using the Red-Green-Refactor TDD cycle, run coverage via uv, and configure pyproject.toml.

Who is it for?

Python developers writing tests, auditing test quality, or setting up pytest with coverage.

Skip if: Non-Python projects or stacks that do not use pytest.

When should I use this skill?

Writing tests, auditing test quality, running pytest, or generating test reports in a Python project.

What you get

Failing-first tests turned green and refactored, with coverage metrics and a testing report.

  • pytest test files
  • pyproject.toml pytest config
  • TESTING_REPORT.local.md

By the numbers

  • Red-Green-Refactor 3-phase cycle
  • coverage fail_under set to 80
  • Recommended test pyramid 70/20/10

Files

SKILL.mdMarkdownGitHub ↗

TDD-Pytest Skill

Activate this skill when the user needs help with:

  • Writing tests using TDD methodology (Red-Green-Refactor)
  • Auditing existing pytest test files for quality
  • Running tests with coverage
  • Generating test reports to TESTING_REPORT.local.md
  • Setting up pytest configuration in pyproject.toml

TDD Workflow

Red-Green-Refactor Cycle

1. RED - Write a failing test first

  • Test should fail for the right reason (not import errors)
  • Test should be minimal and focused
  • Show the failing test output

2. GREEN - Write minimal code to pass

  • Only implement what's needed to pass the test
  • No premature optimization
  • Show the passing test output

3. REFACTOR - Improve code while keeping tests green

  • Clean up duplication
  • Improve naming
  • Extract functions/classes if needed
  • Run tests after each change

Test Organization

File Structure

project/
  src/
    module.py
  tests/
    conftest.py          # Shared fixtures
    test_module.py       # Tests for module.py
  pyproject.toml         # Pytest configuration

Naming Conventions

  • Test files: test_*.py or *_test.py
  • Test functions: test_*
  • Test classes: Test*
  • Fixtures: Descriptive names (mock_database, sample_user)

Pytest Best Practices

Fixtures

import pytest

@pytest.fixture
def sample_config():
    return {"key": "value"}

@pytest.fixture
def mock_client(mocker):
    return mocker.MagicMock()

Parametrization

@pytest.mark.parametrize("input,expected", [
    ("hello", "HELLO"),
    ("world", "WORLD"),
    ("", ""),
])
def test_uppercase(input, expected):
    assert input.upper() == expected

Async Tests

import pytest

@pytest.mark.asyncio
async def test_async_function():
    result = await async_operation()
    assert result == expected

Exception Testing

def test_raises_value_error():
    with pytest.raises(ValueError, match="invalid input"):
        process_input(None)

Running Tests

With uv

uv run pytest                              # Run all tests
uv run pytest tests/test_module.py         # Run specific file
uv run pytest -k "test_name"               # Run by name pattern
uv run pytest -v --tb=short                # Verbose with short traceback
uv run pytest --cov=src --cov-report=term  # With coverage

Common Flags

  • -v / --verbose - Detailed output
  • -x / --exitfirst - Stop on first failure
  • --tb=short - Short tracebacks
  • --tb=no - No tracebacks
  • -k EXPR - Run tests matching expression
  • -m MARKER - Run tests with marker
  • --cov=PATH - Coverage for path
  • --cov-report=term-missing - Show missing lines

pyproject.toml Configuration

Minimal Setup

[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]

Full Configuration

[tool.pytest.ini_options]
asyncio_mode = "auto"
asyncio_default_fixture_loop_scope = "function"
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_functions = ["test_*"]
python_classes = ["Test*"]
addopts = "-v --tb=short"
markers = [
    "slow: marks tests as slow",
    "integration: marks integration tests",
]
filterwarnings = [
    "ignore::DeprecationWarning",
]

[tool.coverage.run]
source = ["src"]
branch = true
omit = ["tests/*", "*/__init__.py"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "if TYPE_CHECKING:",
    "raise NotImplementedError",
]
fail_under = 80
show_missing = true

Report Generation

The TESTING_REPORT.local.md file should contain:

1. Test execution summary (passed/failed/skipped) 2. Coverage metrics by module 3. Audit findings by severity 4. Recommendations with file:line references 5. Evidence (command outputs)

Integration with Conversation

When the user asks to write tests:

1. Check conversation history for context about what to test 2. Identify the code/feature being discussed 3. If unclear, ask clarifying questions:

  • "What specific behavior should I test?"
  • "Should I include edge cases for X?"
  • "Do you want unit tests, integration tests, or both?"

4. Follow TDD: Write failing test first, then implement

Commands Available

  • /tdd-pytest:init - Initialize pytest configuration
  • /tdd-pytest:test [path] - Write tests using TDD (context-aware)
  • /tdd-pytest:test-all - Run all tests
  • /tdd-pytest:report - Generate/update TESTING_REPORT.local.md

Related skills

FAQ

What TDD cycle does it follow?

The Red-Green-Refactor cycle: write a failing test, write minimal code to pass, then refactor while keeping tests green.

How does it run tests?

With uv, for example `uv run pytest --cov=src --cov-report=term` for coverage.

Testing & QAtestingbackend

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