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pytest-advancedpytest 高级

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

441

周安装

18

GitHub Stars

公开资料未说明

下载量

141
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

MIT

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:pytest-advanced(pytest 高级)
来源仓库:https://github.com/yonatangross/skillforge-claude-plugin
仓库路径:skills/pytest-advanced
安装命令:
npx skills add yonatangross/skillforge-claude-plugin --skill "pytest-advanced"
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。

AgentSkills.tonpx skills
npx skills add yonatangross/skillforge-claude-plugin --skill "pytest-advanced"

简介

用于辅助 Python 项目开发、测试与依赖管理。

  • 适合让 Agent 阅读 Python 代码、定位测试问题或生成运行脚本。
  • 使用时需确认虚拟环境、依赖版本和测试入口,避免误改生产数据。
  • 涉及执行脚本或访问数据库时,应先明确运行目录与输入输出范围。
  • pytest-advanced 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Advanced Pytest Patterns

Master pytest's advanced features for scalable, maintainable test suites.

Overview

  • Building custom test markers for categorization
  • Writing pytest plugins and hooks
  • Configuring parallel test execution with pytest-xdist
  • Creating reusable fixture patterns
  • Optimizing test collection and execution

Quick Reference

Custom Markers

# pyproject.toml
[tool.pytest.ini_options]
markers = [
    "slow: marks tests as slow (deselect with '-m \"not slow\"')",
    "integration: marks tests requiring external services",
    "smoke: critical path tests for CI/CD",
]
import pytest

@pytest.mark.slow
def test_complex_analysis():
    result = perform_complex_analysis(large_dataset)
    assert result.is_valid

# Run: pytest -m "not slow"  # Skip slow tests
# Run: pytest -m smoke       # Only smoke tests

See custom-plugins.md for plugin development.

Parallel Execution (pytest-xdist)

[tool.pytest.ini_options]
addopts = ["-n", "auto", "--dist", "loadscope"]
@pytest.fixture(scope="session")
def db_engine(worker_id):
    """Isolate database per worker."""
    db_name = "test_db" if worker_id == "master" else f"test_db_{worker_id}"
    engine = create_engine(f"postgresql://localhost/{db_name}")
    yield engine

See xdist-parallel.md for distribution modes.

Factory Fixtures

@pytest.fixture
def user_factory(db_session) -> Callable[..., User]:
    """Factory fixture for creating users."""
    created = []

    def _create(**kwargs) -> User:
        user = User(**{"email": f"u{len(created)}@test.com", **kwargs})
        db_session.add(user)
        created.append(user)
        return user

    yield _create
    for u in created:
        db_session.delete(u)

Key Decisions

DecisionRecommendation
Parallel executionpytest-xdist with --dist loadscope
Marker strategyCategory (smoke, integration) + Resource (db, llm)
Fixture scopeFunction default, session for expensive setup
Plugin locationconftest.py for project, package for reuse
Async testingpytest-asyncio with auto mode

Anti-Patterns (FORBIDDEN)

# NEVER use expensive fixtures without session scope
@pytest.fixture  # WRONG - loads every test
def model():
    return load_ml_model()  # 5s each time!

# NEVER mutate global state
@pytest.fixture
def counter():
    global _counter
    _counter += 1  # WRONG - leaks between tests

# NEVER skip cleanup
@pytest.fixture
def temp_db():
    db = create_db()
    yield db
    # WRONG - missing db.drop()!

# NEVER use time.sleep (use mocking)
def test_timeout():
    time.sleep(5)  # WRONG - slows tests

Related Skills

  • unit-testing - Basic pytest patterns and AAA structure
  • integration-testing - Database and API testing patterns
  • property-based-testing - Hypothesis integration with pytest

References

Capability Details

custom-markers

Keywords: pytest markers, test categorization, smoke tests, slow tests Solves: Categorize tests, run subsets in CI, skip expensive tests

pytest-xdist

Keywords: parallel, xdist, distributed, workers, loadscope Solves: Run tests in parallel, worker isolation, optimize distribution

pytest-hooks

Keywords: hook, plugin, conftest, pytest_configure, collection Solves: Customize pytest behavior, add timing reports, reorder tests

fixture-patterns

Keywords: fixture, factory, async fixture, cleanup, scope Solves: Factory fixtures, async fixtures, ensure cleanup runs

parametrize-advanced

Keywords: parametrize, indirect, cartesian, pytest.param, xfail Solves: Test multiple scenarios, fixtures with params, expected failures

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

Claude Code

29.32%
按下载量换算41

OpenCode

23.01%
按下载量换算32

Antigravity

16.53%
按下载量换算23

Gemini CLI

13.97%
按下载量换算20

windsurf

7.41%
按下载量换算10

trae

3.39%
按下载量换算5

安全审计

暂无安全审计结果可展示。

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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