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uv-run紫外运行

Agent Skill

uv-run 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

1,829

周安装

74

GitHub Stars

28

下载量

574
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:uv-run(紫外运行)
来源仓库:https://github.com/laurigates/claude-plugins
仓库路径:skills/uv-run
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --skill uv-run
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/laurigates/claude-plugins --skill uv-run

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • uv-run 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

UV Run

Run Python scripts with uv - no manual venv activation needed.

Core Capabilities

  • Direct execution: uv run script.py handles environment automatically
  • Temporary dependencies: uv run --with requests script.py for one-off needs
  • Inline dependencies: PEP 723 metadata blocks for self-contained scripts
  • Ephemeral tools: uvx tool runs CLI tools without installation

Essential Commands

Running Scripts

# Run script (uv manages environment automatically)
uv run script.py

# Run with arguments
uv run script.py --input data.csv --output results.json

# Run a specific module
uv run -m http.server 8000

# Run with specific Python version
uv run --python 3.12 script.py

Temporary Dependencies

Add dependencies for a single run without modifying project:

# Single dependency
uv run --with requests fetch_data.py

# Multiple dependencies
uv run --with requests --with rich api_client.py

# Version constraints
uv run --with 'requests>=2.31' --with 'rich>12,<14' script.py

# Combine with project dependencies
uv run --with pytest-benchmark pytest  # Add benchmark to existing pytest

Inline Script Dependencies (PEP 723)

Create self-contained scripts with embedded dependencies:

#!/usr/bin/env -S uv run --script
# /// script
# requires-python = ">=3.11"
# dependencies = [
#   "requests>=2.31",
#   "rich>=13.0",
# ]
# ///

import requests
from rich import print

response = requests.get("https://api.github.com")
print(response.json())

Run directly:

uv run script.py

# Or make executable:
chmod +x script.py
./script.py

Managing Script Dependencies

# Initialize script with metadata
uv init --script example.py --python 3.12

# Add dependency to script
uv add --script example.py requests rich

# Lock script dependencies for reproducibility
uv lock --script example.py

Ephemeral Tool Execution (uvx)

Run CLI tools without installation:

# Run tool once
uvx pycowsay "Hello from uv!"
uvx httpie https://api.github.com
uvx ruff check .

# With specific version
uvx ruff@0.1.0 check .

# uvx is shorthand for:
uv tool run pycowsay "Hello"

Shebang Patterns

Self-Contained Executable Script

#!/usr/bin/env -S uv run --script
# /// script
# dependencies = ["click", "rich"]
# ///

import click
from rich import print

@click.command()
@click.argument('name')
def hello(name):
    print(f"[green]Hello, {name}![/green]")

if __name__ == "__main__":
    hello()

Script with Python Version Requirement

#!/usr/bin/env -S uv run --script --python 3.12
# /// script
# requires-python = ">=3.12"
# dependencies = ["httpx"]
# ///

import httpx
# Uses Python 3.12+ features

When to Use Each Pattern

ScenarioApproach
Quick one-off taskuv run --with pkg script.py
Reusable scriptInline deps (PEP 723)
Shareable utilityPEP 723 + shebang
Team collaborationInline deps + uv lock --script
Run CLI tool onceuvx tool
Project scriptsuv run (uses project deps)

uvx vs uv run --with

  • uvx tool: Run a CLI tool without installation (e.g., uvx ruff check.)
  • uv run --with pkg: Run a script with temporary dependencies (e.g., uv run --with requests script.py)
# Run a tool (CLI application)
uvx httpie https://api.github.com

# Run a script with dependencies
uv run --with httpx api_test.py

Profiling and Debugging

# CPU profiling
uv run python -m cProfile -s cumtime script.py | head -20

# Line-by-line profiling (temporary dependency)
uv run --with line-profiler kernprof -l -v script.py

# Memory profiling
uv run --with memory-profiler python -m memory_profiler script.py

# Real-time profiling (ephemeral tool)
uvx py-spy top -- python script.py

# Quick profiling
uv run --with scalene python -m scalene script.py

See Also

  • uv-project-management - Project dependencies and lockfiles
  • uv-tool-management - Installing CLI tools globally
  • python-development - Core Python language patterns

References

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

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

32.93%
按下载量换算189

Claude

31.71%
按下载量换算182

Cursor

17.88%
按下载量换算103

Gemini CLI

10.12%
按下载量换算58

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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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