Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问clear审计未展示

pytestpytest 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

1,622

周安装

65

GitHub Stars

公开资料未说明

下载量

525
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(pytest 测试)
来源仓库:https://github.com/prowler-cloud/prowler
仓库路径:skills/pytest
安装命令:
npx skills add prowler-cloud/prowler --skill "pytest"
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 prowler-cloud/prowler --skill "pytest"

简介

pytest 用于辅助 Python 项目开发、测试和依赖管理,支持常见框架工作流。

  • 它适合阅读代码、定位测试问题、生成运行命令或分析数据处理逻辑,提升开发效率。
  • 使用时需确认虚拟环境、依赖版本和测试入口;涉及脚本执行时应明确目录和输入输出范围。
  • 安装前请确认是否会修改生产数据,建议在隔离环境中运行高风险操作。
  • pytest 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
pytest
description
>
Trigger
When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers). For Prowler-specific API/SDK testing conventions, also use prowler-test-api or prowler-test-sdk.
license
Apache-2.0
metadata
author
prowler-cloud
version
1.0
scope
[root, sdk, api]
auto_invoke
Writing Python tests with pytest
allowed-tools
Read, Edit, Write, Glob, Grep, Bash, WebFetch, WebSearch, Task

Basic Test Structure

import pytest

class TestUserService:
    def test_create_user_success(self):
        user = create_user(name="John", email=" [email protected] ")
        assert user.name == "John"
        assert user.email == " [email protected] "

    def test_create_user_invalid_email_fails(self):
        with pytest.raises(ValueError, match="Invalid email"):
            create_user(name="John", email="invalid")

Fixtures

import pytest

@pytest.fixture
def user():
    """Create a test user."""
    return User(name="Test User", email=" [email protected] ")

@pytest.fixture
def authenticated_client(client, user):
    """Client with authenticated user."""
    client.force_login(user)
    return client

# Fixture with teardown
@pytest.fixture
def temp_file():
    path = Path("/tmp/test_file.txt")
    path.write_text("test content")
    yield path  # Test runs here
    path.unlink()  # Cleanup after test

# Fixture scopes
@pytest.fixture(scope="module")  # Once per module
@pytest.fixture(scope="class")   # Once per class
@pytest.fixture(scope="session") # Once per test session

conftest.py

# tests/conftest.py - Shared fixtures
import pytest

@pytest.fixture
def db_session():
    session = create_session()
    yield session
    session.rollback()

@pytest.fixture
def api_client():
    return TestClient(app)

Mocking

from unittest.mock import patch, MagicMock

class TestPaymentService:
    def test_process_payment_success(self):
        with patch("services.payment.stripe_client") as mock_stripe:
            mock_stripe.charge.return_value = {"id": "ch_123", "status": "succeeded"}

            result = process_payment(amount=100)

            assert result["status"] == "succeeded"
            mock_stripe.charge.assert_called_once_with(amount=100)

    def test_process_payment_failure(self):
        with patch("services.payment.stripe_client") as mock_stripe:
            mock_stripe.charge.side_effect = PaymentError("Card declined")

            with pytest.raises(PaymentError):
                process_payment(amount=100)

# MagicMock for complex objects
def test_with_mock_object():
    mock_user = MagicMock()
    mock_user.id = "user-123"
    mock_user.name = "Test User"
    mock_user.is_active = True

    result = get_user_info(mock_user)
    assert result["name"] == "Test User"

Parametrize

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

@pytest.mark.parametrize("email,is_valid", [
    (" [email protected] ", True),
    ("invalid-email", False),
    ("", False),
    (" [email protected] ", False),
])
def test_email_validation(email, is_valid):
    assert validate_email(email) == is_valid

Markers

# pytest.ini or pyproject.toml
[tool.pytest.ini_options]
markers = [
    "slow: marks tests as slow",
    "integration: marks integration tests",
]

# Usage
@pytest.mark.slow
def test_large_data_processing():
    ...

@pytest.mark.integration
def test_database_connection():
    ...

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

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

# Run specific markers
# pytest -m "not slow"
# pytest -m "integration"

Async Tests

import pytest

@pytest.mark.asyncio
async def test_async_function():
    result = await async_fetch_data()
    assert result is not None

Commands

pytest                          # Run all tests
pytest -v                       # Verbose output
pytest -x                       # Stop on first failure
pytest -k "test_user"           # Filter by name
pytest -m "not slow"            # Filter by marker
pytest --cov=src                # With coverage
pytest -n auto                  # Parallel (pytest-xdist)
pytest --tb=short               # Short traceback

References

For general pytest documentation, see:

  • Official Docs: https://docs.pytest.org/en/stable/

For Prowler SDK testing with provider-specific patterns (moto, MagicMock), see:

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

29.95%
按下载量换算157

OpenCode

26.04%
按下载量换算137

Codex

16.88%
按下载量换算89

Cursor

14.04%
按下载量换算74

Antigravity

7.53%
按下载量换算40

windsurf

3.88%
按下载量换算20

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

继续浏览同类 Skills