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pypi-serverpypi 服务器

Agent Skill

pypi-server 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

753

周安装

32

GitHub Stars

93

下载量

264
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

3

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:pypi-server(pypi 服务器)
来源仓库:https://github.com/letta-ai/skills
仓库路径:skills/pypi-server
安装命令:
npx skills add https://github.com/letta-ai/skills --skill pypi-server
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/letta-ai/skills --skill pypi-server

简介

用于查找、检索和筛选相关信息。pypi-server 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 通过 GitHub 安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态。
  • 注意是否会触发联网、命令执行或文件读写操作。

SKILL.md

PyPI Server Setup

This skill provides guidance for creating local PyPI servers to host and distribute Python packages.

When to Use This Skill

  • Setting up a local PyPI repository or package index
  • Building Python packages for distribution (wheel/sdist)
  • Serving packages via HTTP for pip installation
  • Testing package installation from custom index URLs

Environment Reconnaissance (First Step)

Before planning the approach, gather critical environment information:

  1. Check Python version: Run python3 --version to determine compatibility constraints

- Python 3.13+ removed the cgi module, breaking many older tools like pypiserver - Plan fallback strategies based on available Python version

  1. Check available system tools: Verify what utilities exist

- Process management: which ps pkill lsof kill - Network utilities: which curl wget nc - Package tools: pip list to see pre-installed packages

  1. Identify port availability: Check if target ports are free before starting servers

Approach Selection

Decision Framework

ConditionRecommended Approach
Python 3.13+Use python3 -m http.server with proper directory structure
Python 3.12 or earlierEither pypiserver or http.server works
Simple single-package hostinghttp.server is sufficient
Full PyPI mirroring neededConsider pypiserver or devpi

Recommended Default: Python's Built-in HTTP Server

For most local PyPI hosting tasks, use python3 -m http.server with the correct directory structure. This approach:

  • Has no external dependencies
  • Works across all Python versions
  • Is simpler to configure and debug

Directory Structure Requirements

Pip expects a specific directory structure when using --index-url:

server_root/
└── simple/
    └── <package-name>/
        └── <package-name>-<version>-py3-none-any.whl

Critical Details:

  • The simple/ directory must be at the root of the served directory
  • Package names in the directory should be normalized (lowercase, hyphens to underscores for some cases)
  • The server must be started from the directory containing simple/, not from within it

Building Python Packages

Standard Package Structure

package_name/
├── setup.py
├── pyproject.toml (optional but recommended)
└── package_name/
    ├── __init__.py
    └── module.py

Minimal setup.py Example

from setuptools import setup, find_packages

setup(
    name="package-name",
    version="0.1.0",
    packages=find_packages(),
)

Build Commands

# Build wheel and source distribution
python3 -m pip install build
python3 -m build

# Output appears in dist/

Server Setup Steps

Step 1: Create Directory Structure

mkdir -p pypi-server/simple/packagename/
cp dist/*.whl pypi-server/simple/packagename/

Step 2: Start HTTP Server

cd pypi-server
python3 -m http.server 8080

Important: Start the server from the directory that contains simple/, not from within simple/.

Step 3: Verify Server

Test that the structure is correct:

curl http://localhost:8080/simple/
curl http://localhost:8080/simple/packagename/

Verification Strategy

Pre-Installation Checks

  1. Verify server is running: curl -I http://localhost:PORT/
  2. Verify simple index exists: curl http://localhost:PORT/simple/
  3. Verify package directory exists: curl http://localhost:PORT/simple/packagename/
  4. Verify wheel file is accessible: curl -I http://localhost:PORT/simple/packagename/file.whl

Installation Test

pip install --index-url http://localhost:PORT/simple packagename==version

Post-Installation Verification

import packagename
# Test core functionality

Common Pitfalls and Solutions

1. Port Already in Use

Symptom: OSError: [Errno 98] Address already in use

Solutions:

  • Use a different port
  • Find and kill the existing process: import socket sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
  • Create a custom server script with SO_REUSEADDR option

2. Wrong Directory Structure

Symptom: 404 Not Found when pip tries to access /simple/

Cause: Server started from wrong directory or missing simple/ prefix

Solution: Verify the URL http://localhost:PORT/simple/ returns a directory listing

3. Python 3.13+ Compatibility

Symptom: ModuleNotFoundError: No module named 'cgi' when using pypiserver

Cause: Python 3.13 removed the deprecated cgi module

Solution: Use python3 -m http.server instead of pypiserver

4. Process Management Without Standard Tools

Symptom: Cannot find or kill background processes (ps/pkill not available)

Solutions:

  • Use Python's process management: import subprocess proc = subprocess.Popen(['python3', '-m', 'http.server', '8080']) # Save proc.pid for later termination
  • Use /proc filesystem on Linux: ls /proc/*/cmdline
  • Track PIDs explicitly when starting background processes

5. Shell Compatibility

Symptom: source: not found when sourcing files

Cause: Using source in sh shell (source is a bash feature)

Solution: Use . instead of source for POSIX compatibility:

. ./venv/bin/activate

6. Package Name Normalization

Symptom: Package not found despite correct structure

Cause: Pip normalizes package names (underscores to hyphens, lowercase)

Solution: Use lowercase names and be consistent with hyphens/underscores

Custom Server Script (Robust Alternative)

For better process control and port reuse, consider a custom server script:

#!/usr/bin/env python3
import http.server
import socketserver
import os

PORT = 8080
DIRECTORY = "/path/to/pypi-server"

os.chdir(DIRECTORY)

class ReuseAddrServer(socketserver.TCPServer):
    allow_reuse_address = True

handler = http.server.SimpleHTTPRequestHandler
with ReuseAddrServer(("", PORT), handler) as httpd:
    print(f"Serving at port {PORT}")
    httpd.serve_forever()

Checklist Before Starting

  • Verified Python version and tool compatibility
  • Created correct directory structure with simple/ prefix
  • Built package successfully (wheel exists in dist/)
  • Copied wheel to correct location under simple/packagename/
  • Confirmed target port is available
  • Plan for process management (how to stop the server later)

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

能力 5

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

Claude Code

30.34%
按下载量换算80

Gemini CLI

22.62%
按下载量换算60

Antigravity

17.23%
按下载量换算45

windsurf

12.66%
按下载量换算33

OpenCode

7.63%
按下载量换算20

Codex

3.28%
按下载量换算9

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/letta-ai/skills --skill pypi-server;npx skills add letta-ai/skills --skill "pypi-server" 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

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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