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Agent Skill · 研究检索

python-packaging(Python packaging 测试)

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。

python-packaging 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 70,176。

总安装 212周安装 9GitHub Stars 5下载 74核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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-packaging(Python packaging 测试)
来源仓库:https://github.com/eyh0602/skillshub
仓库路径:skills/python-packaging
安装命令:
npx skills add https://github.com/eyh0602/skillshub --skill python-packaging
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/eyh0602/skillshub --skill python-packaging

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

python-packaging 用于辅助 Python 项目开发、测试、依赖管理和常见框架工作流。它能让 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、读写文件或调用外部 API 时,应明确运行目录和输入输出范围。安装前建议核对来源仓库维护状态,并留意是否会触发联网、命令执行或文件读写。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。

来源仓库内路径:skills/python-packaging

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/eyh0602/skillshub --skill python-packaging;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

python-packaging 怎么安装?

在终端执行 npx skills add https://github.com/eyh0602/skillshub --skill python-packaging。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

python-packaging 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

python-packaging 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/eyh0602/skillshub --skill python-packaging;npx skills add eyh0602/skillshub --skill "python-packaging" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

python-packaging 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

python-packaging 用的人多吗?

公开数据是累计安装 212 次,近一周安装 9 次,下载 74 次,GitHub 5 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

python-packaging 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
python-packaging

Python packaging 测试 · 本页

2125执行命令MIT未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Python Packaging

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.

When to Use This Skill

  • Creating Python libraries for distribution
  • Building command-line tools with entry points
  • Publishing packages to PyPI or private repositories
  • Setting up Python project structure
  • Creating installable packages with dependencies
  • Building wheels and source distributions
  • Versioning and releasing Python packages
  • Creating namespace packages
  • Implementing package metadata and classifiers

Core Concepts

1. Package Structure

  • Source layout: src/package_name/ (recommended)
  • Flat layout: package_name/ (simpler but less flexible)
  • Package metadata: pyproject.toml, setup.py, or setup.cfg
  • Distribution formats: wheel (.whl) and source distribution (.tar.gz)

2. Modern Packaging Standards

  • PEP 517/518: Build system requirements
  • PEP 621: Metadata in pyproject.toml
  • PEP 660: Editable installs
  • pyproject.toml: Single source of configuration

3. Build Backends

  • setuptools: Traditional, widely used
  • hatchling: Modern, opinionated
  • flit: Lightweight, for pure Python
  • poetry: Dependency management + packaging

4. Distribution

  • PyPI: Python Package Index (public)
  • TestPyPI: Testing before production
  • Private repositories: JFrog, AWS CodeArtifact, etc.

Quick Start

Minimal Package Structure

my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── src/
│   └── my_package/
│       ├── __init__.py
│       └── module.py
└── tests/
    └── test_module.py

Minimal pyproject.toml

[build-system]
requires = ["setuptools>=61.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
version = "0.1.0"
description = "A short description"
authors = [{name = "Your Name", email = "you@example.com"}]
readme = "README.md"
requires-python = ">=3.8"
dependencies = [
    "requests>=2.28.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0",
    "black>=22.0",
]

Package Structure Patterns

Pattern 1: Source Layout (Recommended)

my-package/
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
├── src/
│   └── my_package/
│       ├── __init__.py
│       ├── core.py
│       ├── utils.py
│       └── py.typed          # For type hints
├── tests/
│   ├── __init__.py
│   ├── test_core.py
│   └── test_utils.py
└── docs/
    └── index.md

Advantages:

  • Prevents accidentally importing from source
  • Cleaner test imports
  • Better isolation

pyproject.toml for source layout:

[tool.setuptools.packages.find]
where = ["src"]

Pattern 2: Flat Layout

my-package/
├── pyproject.toml
├── README.md
├── my_package/
│   ├── __init__.py
│   └── module.py
└── tests/
    └── test_module.py

Simpler but:

  • Can import package without installing
  • Less professional for libraries

Pattern 3: Multi-Package Project

project/
├── pyproject.toml
├── packages/
│   ├── package-a/
│   │   └── src/
│   │       └── package_a/
│   └── package-b/
│       └── src/
│           └── package_b/
└── tests/

Complete pyproject.toml Examples

Pattern 4: Full-Featured pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "my-awesome-package"
version = "1.0.0"
description = "An awesome Python package"
readme = "README.md"
requires-python = ">=3.8"
license = {text = "MIT"}
authors = [
    {name = "Your Name", email = "you@example.com"},
]
maintainers = [
    {name = "Maintainer Name", email = "maintainer@example.com"},
]
keywords = ["example", "package", "awesome"]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
]

dependencies = [
    "requests>=2.28.0,<3.0.0",
    "click>=8.0.0",
    "pydantic>=2.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "black>=23.0.0",
    "ruff>=0.1.0",
    "mypy>=1.0.0",
]
docs = [
    "sphinx>=5.0.0",
    "sphinx-rtd-theme>=1.0.0",
]
all = [
    "my-awesome-package[dev,docs]",
]

[project.urls]
Homepage = "https://github.com/username/my-awesome-package"
Documentation = "https://my-awesome-package.readthedocs.io"
Repository = "https://github.com/username/my-awesome-package"
"Bug Tracker" = "https://github.com/username/my-awesome-package/issues"
Changelog = "https://github.com/username/my-awesome-package/blob/main/CHANGELOG.md"

[project.scripts]
my-cli = "my_package.cli:main"
awesome-tool = "my_package.tools:run"

[project.entry-points."my_package.plugins"]
plugin1 = "my_package.plugins:plugin1"

[tool.setuptools]
package-dir = {"" = "src"}
zip-safe = false

[tool.setuptools.packages.find]
where = ["src"]
include = ["my_package*"]
exclude = ["tests*"]

[tool.setuptools.package-data]
my_package = ["py.typed", "*.pyi", "data/*.json"]

# Black configuration
[tool.black]
line-length = 100
target-version = ["py38", "py39", "py310", "py311"]
include = '\.pyi?$'

# Ruff configuration
[tool.ruff]
line-length = 100
target-version = "py38"

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W", "UP"]

# MyPy configuration
[tool.mypy]
python_version = "3.8"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true

# Pytest configuration
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py"]
addopts = "-v --cov=my_package --cov-report=term-missing"

# Coverage configuration
[tool.coverage.run]
source = ["src"]
omit = ["*/tests/*"]

[tool.coverage.report]
exclude_lines = [
    "pragma: no cover",
    "def __repr__",
    "raise AssertionError",
    "raise NotImplementedError",
]

Pattern 5: Dynamic Versioning

[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
dynamic = ["version"]
description = "Package with dynamic version"

[tool.setuptools.dynamic]
version = {attr = "my_package.__version__"}

# Or use setuptools-scm for git-based versioning
[tool.setuptools_scm]
write_to = "src/my_package/_version.py"

In init.py:

# src/my_package/__init__.py
__version__ = "1.0.0"

# Or with setuptools-scm
from importlib.metadata import version
__version__ = version("my-package")

Command-Line Interface (CLI) Patterns

Pattern 6: CLI with Click

# src/my_package/cli.py
import click

@click.group()
@click.version_option()
def cli():
    """My awesome CLI tool."""
    pass

@cli.command()
@click.argument("name")
@click.option("--greeting", default="Hello", help="Greeting to use")
def greet(name: str, greeting: str):
    """Greet someone."""
    click.echo(f"{greeting}, {name}!")

@cli.command()
@click.option("--count", default=1, help="Number of times to repeat")
def repeat(count: int):
    """Repeat a message."""
    for i in range(count):
        click.echo(f"Message {i + 1}")

def main():
    """Entry point for CLI."""
    cli()

if __name__ == "__main__":
    main()

Register in pyproject.toml:

[project.scripts]
my-tool = "my_package.cli:main"

Usage:

pip install -e .
my-tool greet World
my-tool greet Alice --greeting="Hi"
my-tool repeat --count=3

Pattern 7: CLI with argparse

# src/my_package/cli.py
import argparse
import sys

def main():
    """Main CLI entry point."""
    parser = argparse.ArgumentParser(
        description="My awesome tool",
        prog="my-tool"
    )

    parser.add_argument(
        "--version",
        action="version",
        version="%(prog)s 1.0.0"
    )

    subparsers = parser.add_subparsers(dest="command", help="Commands")

    # Add subcommand
    process_parser = subparsers.add_parser("process", help="Process data")
    process_parser.add_argument("input_file", help="Input file path")
    process_parser.add_argument(
        "--output", "-o",
        default="output.txt",
        help="Output file path"
    )

    args = parser.parse_args()

    if args.command == "process":
        process_data(args.input_file, args.output)
    else:
        parser.print_help()
        sys.exit(1)

def process_data(input_file: str, output_file: str):
    """Process data from input to output."""
    print(f"Processing {input_file} -> {output_file}")

if __name__ == "__main__":
    main()

Building and Publishing

Pattern 8: Build Package Locally

# Install build tools
pip install build twine

# Build distribution
python -m build

# This creates:
# dist/
#   my-package-1.0.0.tar.gz (source distribution)
#   my_package-1.0.0-py3-none-any.whl (wheel)

# Check the distribution
twine check dist/*

Pattern 9: Publishing to PyPI

# Install publishing tools
pip install twine

# Test on TestPyPI first
twine upload --repository testpypi dist/*

# Install from TestPyPI to test
pip install --index-url https://test.pypi.org/simple/ my-package

# If all good, publish to PyPI
twine upload dist/*

Using API tokens (recommended):

# Create ~/.pypirc
[distutils]
index-servers =
    pypi
    testpypi

[pypi]
username = __token__
password = pypi-...your-token...

[testpypi]
username = __token__
password = pypi-...your-test-token...

Pattern 10: Automated Publishing with GitHub Actions

# .github/workflows/publish.yml
name: Publish to PyPI

on:
  release:
    types: [created]

jobs:
  publish:
    runs-on: ubuntu-latest

    steps:
      - uses: actions/checkout@v3

      - name: Set up Python
        uses: actions/setup-python@v4
        with:
          python-version: "3.11"

      - name: Install dependencies
        run: |
          pip install build twine

      - name: Build package
        run: python -m build

      - name: Check package
        run: twine check dist/*

      - name: Publish to PyPI
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
        run: twine upload dist/*

Advanced Patterns

Pattern 11: Including Data Files

[tool.setuptools.package-data]
my_package = [
    "data/*.json",
    "templates/*.html",
    "static/css/*.css",
    "py.typed",
]

Accessing data files:

# src/my_package/loader.py
from importlib.resources import files
import json

def load_config():
    """Load configuration from package data."""
    config_file = files("my_package").joinpath("data/config.json")
    with config_file.open() as f:
        return json.load(f)

# Python 3.9+
from importlib.resources import files

data = files("my_package").joinpath("data/file.txt").read_text()

Pattern 12: Namespace Packages

For large projects split across multiple repositories:

# Package 1: company-core
company/
└── core/
    ├── __init__.py
    └── models.py

# Package 2: company-api
company/
└── api/
    ├── __init__.py
    └── routes.py

Do NOT include init.py in the namespace directory (company/):

# company-core/pyproject.toml
[project]
name = "company-core"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.core*"]

# company-api/pyproject.toml
[project]
name = "company-api"

[tool.setuptools.packages.find]
where = ["."]
include = ["company.api*"]

Usage:

# Both packages can be imported under same namespace
from company.core import models
from company.api import routes

Pattern 13: C Extensions

[build-system]
requires = ["setuptools>=61.0", "wheel", "Cython>=0.29"]
build-backend = "setuptools.build_meta"

[tool.setuptools]
ext-modules = [
    {name = "my_package.fast_module", sources = ["src/fast_module.c"]},
]

Or with setup.py:

# setup.py
from setuptools import setup, Extension

setup(
    ext_modules=[
        Extension(
            "my_package.fast_module",
            sources=["src/fast_module.c"],
            include_dirs=["src/include"],
        )
    ]
)

Version Management

Pattern 14: Semantic Versioning

# src/my_package/__init__.py
__version__ = "1.2.3"

# Semantic versioning: MAJOR.MINOR.PATCH
# MAJOR: Breaking changes
# MINOR: New features (backward compatible)
# PATCH: Bug fixes

Version constraints in dependencies:

dependencies = [
    "requests>=2.28.0,<3.0.0",  # Compatible range
    "click~=8.1.0",              # Compatible release (~= 8.1.0 means >=8.1.0,<8.2.0)
    "pydantic>=2.0",             # Minimum version
    "numpy==1.24.3",             # Exact version (avoid if possible)
]

Pattern 15: Git-Based Versioning

[build-system]
requires = ["setuptools>=61.0", "setuptools-scm>=8.0"]
build-backend = "setuptools.build_meta"

[project]
name = "my-package"
dynamic = ["version"]

[tool.setuptools_scm]
write_to = "src/my_package/_version.py"
version_scheme = "post-release"
local_scheme = "dirty-tag"

Creates versions like:

  • 1.0.0 (from git tag)
  • 1.0.1.dev3+g1234567 (3 commits after tag)

Testing Installation

Pattern 16: Editable Install

# Install in development mode
pip install -e .

# With optional dependencies
pip install -e ".[dev]"
pip install -e ".[dev,docs]"

# Now changes to source code are immediately reflected

Pattern 17: Testing in Isolated Environment

# Create virtual environment
python -m venv test-env
source test-env/bin/activate  # Linux/Mac
# test-env\Scripts\activate  # Windows

# Install package
pip install dist/my_package-1.0.0-py3-none-any.whl

# Test it works
python -c "import my_package; print(my_package.__version__)"

# Test CLI
my-tool --help

# Cleanup
deactivate
rm -rf test-env

Documentation

Pattern 18: README.md Template

# My Package

[![PyPI version](https://badge.fury.io/py/my-package.svg)](https://pypi.org/project/my-package/)
[![Python versions](https://img.shields.io/pypi/pyversions/my-package.svg)](https://pypi.org/project/my-package/)
[![Tests](https://github.com/username/my-package/workflows/Tests/badge.svg)](https://github.com/username/my-package/actions)

Brief description of your package.

## Installation

pip install my-package


## Quick Start

from my_package import something

result = something.do_stuff()


## Features

- Feature 1
- Feature 2
- Feature 3

## Documentation

Full documentation: [https://my-package.readthedocs.io](https://my-package.readthedocs.io)

## Development

git clone https://github.com/username/my-package.git cd my-package pip install -e ".[dev]" pytest


## License

MIT

Common Patterns

Pattern 19: Multi-Architecture Wheels

# .github/workflows/wheels.yml
name: Build wheels

on: [push, pull_request]

jobs:
  build_wheels:
    name: Build wheels on ${{ matrix.os }}
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
        os: [ubuntu-latest, windows-latest, macos-latest]

    steps:
      - uses: actions/checkout@v3

      - name: Build wheels
        uses: pypa/cibuildwheel@v2.16.2

      - uses: actions/upload-artifact@v3
        with:
          path: ./wheelhouse/*.whl

Pattern 20: Private Package Index

# Install from private index
pip install my-package --index-url https://private.pypi.org/simple/

# Or add to pip.conf
[global]
index-url = https://private.pypi.org/simple/
extra-index-url = https://pypi.org/simple/

# Upload to private index
twine upload --repository-url https://private.pypi.org/ dist/*

File Templates

.gitignore for Python Packages

# Build artifacts
build/
dist/
*.egg-info/
*.egg
.eggs/

# Python
__pycache__/
*.py[cod]
*$py.class
*.so

# Virtual environments
venv/
env/
ENV/

# IDE
.vscode/
.idea/
*.swp

# Testing
.pytest_cache/
.coverage
htmlcov/

# Distribution
*.whl
*.tar.gz

MANIFEST.in

# MANIFEST.in
include README.md
include LICENSE
include pyproject.toml

recursive-include src/my_package/data *.json
recursive-include src/my_package/templates *.html
recursive-exclude * __pycache__
recursive-exclude * *.py[co]

Checklist for Publishing

  • Code is tested (pytest passing)
  • Documentation is complete (README, docstrings)
  • Version number updated
  • CHANGELOG.md updated
  • License file included
  • pyproject.toml is complete
  • Package builds without errors
  • Installation tested in clean environment
  • CLI tools work (if applicable)
  • PyPI metadata is correct (classifiers, keywords)
  • GitHub repository linked
  • Tested on TestPyPI first
  • Git tag created for release

Resources

Best Practices Summary

  1. Use src/ layout for cleaner package structure
  2. Use pyproject.toml for modern packaging
  3. Pin build dependencies in build-system.requires
  4. Version appropriately with semantic versioning
  5. Include all metadata (classifiers, URLs, etc.)
  6. Test installation in clean environments
  7. Use TestPyPI before publishing to PyPI
  8. Document thoroughly with README and docstrings
  9. Include LICENSE file
  10. Automate publishing with CI/CD

平台分布

windsurf

27.86%
按下载量换算21

OpenCode

21.39%
按下载量换算16

Codex

20.04%
按下载量换算15

Claude Code

13.38%
按下载量换算10

Antigravity

8.44%
按下载量换算6

Gemini CLI

3.96%
按下载量换算3

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/eyh0602/skillshub --skill python-packaging;npx skills add eyh0602/skillshub --skill "python-packaging" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

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