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python-pytest-opsPython pytest OPS 测试

Agent Skill

用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它适合让 Agent 阅读 Python 代码、定位测试问题、整理运行命令、生成脚本或分析数据处理逻辑。使用时需要确认项目虚拟环境、依赖版本和测试入口;涉及执行脚本、读写文件、访问数据库或调用外部 API 时,应先明确运行目录和输入输出范围,避免误改生产数据。

总安装

760

周安装

32

GitHub Stars

17

下载量

266
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:python-pytest-ops(Python pytest OPS 测试)
来源仓库:https://github.com/0xdarkmatter/claude-mods
仓库路径:skills/python-pytest-ops
安装命令:
npx skills add https://github.com/0xdarkmatter/claude-mods --skill python-pytest-ops
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/0xdarkmatter/claude-mods --skill python-pytest-ops

简介

强化 Python 项目的测试覆盖率和质量保障体系。

  • 适用于需要严格测试规范的金融或医疗类应用场景。
  • 提供测试用例生成、覆盖率分析和失败重试机制支持。
  • 测试数据应隔离于生产环境,避免意外数据污染。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • python-pytest-ops 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Python pytest Patterns

Modern pytest patterns for effective testing.

Basic Test Structure

import pytest

def test_basic():
    """Simple assertion test."""
    assert 1 + 1 == 2

def test_with_description():
    """Descriptive name and docstring."""
    result = calculate_total([1, 2, 3])
    assert result == 6, "Sum should equal 6"

Fixtures

import pytest

@pytest.fixture
def sample_user():
    """Create test user."""
    return {"id": 1, "name": "Test User"}

@pytest.fixture
def db_connection():
    """Fixture with setup and teardown."""
    conn = create_connection()
    yield conn
    conn.close()

def test_user(sample_user):
    """Fixtures injected by name."""
    assert sample_user["name"] == "Test User"

Fixture Scopes

@pytest.fixture(scope="function")  # Default - per test
@pytest.fixture(scope="class")     # Per test class
@pytest.fixture(scope="module")    # Per test file
@pytest.fixture(scope="session")   # Entire test run

Parametrize

@pytest.mark.parametrize("input,expected", [
    (1, 2),
    (2, 4),
    (3, 6),
])
def test_double(input, expected):
    assert double(input) == expected

# Multiple parameters
@pytest.mark.parametrize("x", [1, 2])
@pytest.mark.parametrize("y", [10, 20])
def test_multiply(x, y):  # 4 test combinations
    assert x * y > 0

Exception Testing

def test_raises():
    with pytest.raises(ValueError) as exc_info:
        raise ValueError("Invalid input")
    assert "Invalid" in str(exc_info.value)

def test_raises_match():
    with pytest.raises(ValueError, match=r".*[Ii]nvalid.*"):
        raise ValueError("Invalid input")

Markers

@pytest.mark.skip(reason="Not implemented yet")
def test_future_feature():
    pass

@pytest.mark.skipif(sys.platform == "win32", reason="Unix only")
def test_unix_feature():
    pass

@pytest.mark.xfail(reason="Known bug")
def test_buggy():
    assert broken_function() == expected

@pytest.mark.slow
def test_performance():
    """Custom marker - register in pytest.ini."""
    pass

Mocking

from unittest.mock import Mock, patch, MagicMock

def test_with_mock():
    mock_api = Mock()
    mock_api.get.return_value = {"status": "ok"}
    result = mock_api.get("/endpoint")
    assert result["status"] == "ok"

@patch("module.external_api")
def test_with_patch(mock_api):
    mock_api.return_value = {"data": []}
    result = function_using_api()
    mock_api.assert_called_once()

pytest-mock (Recommended)

def test_with_mocker(mocker):
    mock_api = mocker.patch("module.api_call")
    mock_api.return_value = {"success": True}
    result = process_data()
    assert result["success"]

conftest.py

# tests/conftest.py - Shared fixtures

import pytest

@pytest.fixture(scope="session")
def app():
    """Application fixture available to all tests."""
    return create_app(testing=True)

@pytest.fixture
def client(app):
    """Test client fixture."""
    return app.test_client()

Quick Reference

CommandDescription
pytestRun all tests
pytest -vVerbose output
pytest -xStop on first failure
pytest -k "test_name"Run matching tests
pytest -m slowRun marked tests
pytest --lfRerun last failed
pytest --cov=srcCoverage report
pytest -n autoParallel (pytest-xdist)

Additional Resources

  • ./references/fixtures-advanced.md - Factory fixtures, autouse, conftest patterns
  • ./references/mocking-patterns.md - Mock, patch, MagicMock, side_effect
  • ./references/async-testing.md - pytest-asyncio patterns
  • ./references/coverage-strategies.md - pytest-cov, branch coverage, reports
  • ./references/integration-testing.md - Database fixtures, API testing, testcontainers
  • ./references/property-testing.md - Hypothesis framework, strategies, shrinking
  • ./references/test-architecture.md - Test pyramid, organization, isolation strategies

Scripts

  • ./scripts/run-tests.sh - Run tests with recommended options
  • ./scripts/generate-conftest.sh - Generate conftest.py boilerplate

Assets

  • ./assets/pytest.ini.template - Recommended pytest configuration
  • ./assets/conftest.py.template - Common fixture patterns

See Also

Related Skills:

  • python-typing-ops - Type-safe test code
  • python-async-ops - Async test patterns (pytest-asyncio)

Testing specific frameworks:

  • python-fastapi-ops - TestClient, API testing
  • python-database-ops - Database fixtures, transactions

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.91%
按下载量换算96

Claude

28.86%
按下载量换算77

Cursor

20.11%
按下载量换算53

Gemini CLI

9.04%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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