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python-testingPython 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

642

周安装

27

GitHub Stars

2

下载量

225
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-testing(Python 测试)
来源仓库:https://github.com/ahgraber/skills
仓库路径:skills/python-testing
安装命令:
npx skills add https://github.com/ahgraber/skills --skill python-testing
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/ahgraber/skills --skill python-testing

简介

用于辅助 Python 项目开发、测试和依赖管理,适合阅读代码、定位问题、整理命令或生成脚本。

  • 适用于单元测试、集成测试和常见框架工作流,可分析数据处理逻辑和运行测试用例。
  • 需确认项目虚拟环境、依赖版本和测试入口,通过 GitHub 安装并调用 python-testing 技能。
  • 涉及执行脚本或访问外部资源时,应明确运行目录和输入输出范围,避免误改生产数据。
  • 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。

SKILL.md

Python Testing

Overview

Test observable behavior and contracts, not internal implementation. Keep unit tests fast, deterministic, and patched at module boundaries.

These are preferred defaults for common cases. When a default conflicts with project constraints, suggest a better-fit alternative, call out tradeoffs, and note compensating controls.

Invocation Notice

  • Inform the user when this skill is being invoked by name: python-testing.

When to Use

  • Writing or reviewing unit, integration, or reliability-sensitive tests.
  • Tests are flaky, slow, or coupled to implementation details.
  • Adding regression tests after a bugfix.
  • Testing async lifecycles, cancellation, or cleanup paths.
  • Unsure what test coverage a change needs.
  • Testing across multiple Python versions (nox, CI matrix).
  • Validating thread safety for free-threaded Python (GIL-disabled builds).

When NOT to use:

  • Pure data-shape or schema validation (see python-types-contracts).
  • Production observability or monitoring concerns (see python-runtime-operations).
  • Concurrency design decisions outside of test harnesses (see python-concurrency-performance).

Quick Reference

  • Test observable behavior, not internals.
  • Keep unit tests fast and deterministic.
  • Patch at module boundaries and import locations used by the unit under test.
  • Add regression tests for bugfixes.
  • Include timeout/retry/cancellation/cleanup coverage where relevant.
  • For multi-Python: use nox with uv backend; parametrize for dependency matrices.
  • For free-threaded Python: use pytest-run-parallel, set PYTHON_GIL=0, always set CI timeouts.

Change-Specific Diagnostics

  • Dependency updates: run uv run pytest scripts/test_pypi_security_audit.py -v
  • Async-heavy lifecycle changes: run pyleak diagnostics.
  • Multi-Python support changes: run full matrix via nox.
  • Free-threaded compatibility: run PYTHON_GIL=0 uv run --python 3.Xt pytest --parallel-threads=auto --timeout=300 on a free-threaded build (3.13t+).

Common Mistakes

  • Mocking too deep — patching internals instead of module-boundary seams makes tests brittle and coupled to implementation.
  • Testing the mock — verifying mock call counts without asserting on observable output proves nothing about behavior.
  • Missing regression test — fixing a bug without a test that reproduces it first; the bug will recur.
  • Non-deterministic time/order — relying on wall-clock time or dict/set ordering instead of injecting clocks and sorting explicitly.
  • Skipping cleanup assertions — verifying the happy path but never asserting that resources are released on failure or cancellation.
  • No free-threaded CI entry — shipping multi-threaded code without a free-threaded (t-suffixed) matrix entry; the GIL hides race conditions that will surface when free-threaded Python becomes the default.
  • Ignoring GIL re-enablement — importing a C extension without Py_mod_gil silently re-enables the GIL; check sys._is_gil_enabled() after imports.
  • YAML version float — writing 3.10 unquoted in CI matrix YAML; it parses as 3.1 and installs the wrong Python.

References

  • references/testing-strategy.md
  • references/pytest-practices.md
  • references/async-and-concurrency-testing.md
  • references/reliability-lifecycle-testing.md
  • references/multi-python-testing.md
  • references/free-threaded-testing.md

适合场景

01

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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

36.66%
按下载量换算82

Claude

32.77%
按下载量换算74

Cursor

18.32%
按下载量换算41

Gemini CLI

8.99%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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