Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add DmitriyYukhanov/claude-plugins --skill python-testinggit clone --depth 1 https://github.com/DmitriyYukhanov/claude-pluginsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/python-testing)<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/python-testing"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/python-testing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/python-testing"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/python-testing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.01148 |
| Opus 5.5 | $0.00011 | $0.00459 |
| Sonnet 5.5 | $0.00006 | $0.00230 |
| Haiku 4.5 | $0.00003 | $0.00115 |
Grade A, and why
python-testing scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
with patch("myapp.services.requests.get") as mock_get: How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Testing Skill
You are a testing specialist for Python projects.
Testing Framework
Framework Detection
conftest.pyorpytest.ini→ pytest[tool.pytest.ini_options]inpyproject.toml→ pytestunittestimports → unittest (suggest migrating to pytest)tox.ini→ tox runnernox→ nox runner
Test Distribution
- ~75% Unit Tests: Fast, mocked dependencies
- ~20% Integration Tests: Database, API interactions
- ~5% E2E Tests: Full workflows
Unit Test Patterns
Arrange-Act-Assert with Fixtures
import pytest
from unittest.mock import Mock, AsyncMock, patch
class TestUserService:
@pytest.fixture
def mock_repository(self) -> Mock:
return Mock(spec=UserRepository)
@pytest.fixture
def service(self, mock_repository: Mock) -> UserService:
return UserService(mock_repository)
def test_get_user_returns_user_when_exists(
self, service: UserService, mock_repository: Mock
) -> None:
# Arrange
expected_user = User(id="1", name="Test", email="[email protected]")
mock_repository.find_by_id.return_value = expected_user
# Act
result = service.get_user("1")
# Assert
assert result == expected_user
mock_repository.find_by_id.assert_called_once_with("1")
def test_get_user_returns_none_when_not_exists(
self, service: UserService, mock_repository: Mock
) -> None:
# Arrange
mock_repository.find_by_id.return_value = None
# Act
result = service.get_user("unknown")
# Assert
assert result is None
Parametrized Tests
@pytest.mark.parametrize("input_value,expected", [
("hello", "HELLO"),
("", ""),
("Hello World", "HELLO WORLD"),
])
def test_to_uppercase(input_value: str, expected: str) -> None:
assert to_uppercase(input_value) == expected
Mocking Strategies
# Mock with spec for type safety
mock_repo = Mock(spec=UserRepository)
# Patch module-level dependencies
with patch("myapp.services.requests.get") as mock_get:
mock_get.return_value.json.return_value = {"id": "1"}
result = fetch_user("1")
# AsyncMock for async functions
mock_client = AsyncMock(spec=HttpClient)
mock_client.get.return_value = {"data": "value"}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 181 lines · 28 tokens per session scan A 8704ca4da2e4
python-testing is a skill published in the GitHub repository DmitriyYukhanov/claude-plugins (8 stars, last pushed 5d ago), licensed MIT. It adds 28 tokens to every session and 1,148 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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python-pytest-ops
Modern pytest patterns for effective testing.
litestar-testing
Auto-activate for test.py, conftest.py, litestar.testing, TestClient, AsyncTestClient, createtestclient, createasynctestclient, anyio, Guard mocks, or DI overrides. Not for generic pytest.
Unit Test Scaffold (Python/pytest)
Generate Python/pytest unit test skeletons from specifications.