Uv Package ManagerCAUTION
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi
Overview
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi
adb71e0b2512OBSERVED · 2026-10-02Install
Commands as the repository documents them. They are shown, not run.
pip install uv
uv --version
uv init my-project
uv init .
uv add requests pandas
uv add --dev pytest black ruff
What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: uv-package-manager description: Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv. --- # UV Package Manager Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows. ## When to Use This Skill - Setting up new Python projects quickly - Managing Python dependencies faster than pip - Creating and managing virtual environments - Installing Python interpreters - Resolving dependency conflicts efficiently - Migrating from pip/pip-tools/poetry - Speeding up CI/CD pipelines - Managing monorepo Python projects - Working with lockfiles for reproducible builds - Optimizing Docker builds with Python dependencies ## Core Concepts ### 1. What is uv? - **Ultra-fast package installer**: 10-100x faster than pip - **Written in Rust**: Leverages Rust's performance - **Drop-in pip replacement**: Compatible with pip workflows - **Virtual environment manager**: Create and manage venvs - **Python installer**: Download and manage Python versions - **Resolver**: Advanced dependency resolution - **Lockfile support**: Reproducible installations ### 2. Key Features - Blazing fast installation speeds - Disk space efficient with global cache - Compatible with pip, pip-tools, poetry - Comprehensive dependency resolution - Cross-platform support (Linux, macOS, Windows) - No Python required for installation - Built-in virtual environment support ### 3. UV vs Traditional Tools - **vs pip**: 10-100x faster, better resolver - **vs pip-tools**: Faster, simpler, better UX - **vs poetry**: Faster, less opinionated, lighter - **vs conda**: Faster, Python-focused ## Installation ### Quick Install ```bash # macOS/Linux curl -LsSf https://astral.sh/uv/install.sh | sh # Windows (PowerShell) powershell -c "irm https://astral.sh/uv/install.ps1 | iex" # Using pip (if you already have Python) pip install uv # Using Homebrew (macOS) brew install uv # Using cargo (if you have Rust) cargo install --git https://github.com/astral-sh/uv uv ``` ### Verify Installation ```bash uv --version # uv 0.x.x ``` ## Quick Start ### Create a New Project ```bash # Create new project with virtual environment uv init my-project cd my-project # Or create in current directory uv init . # Initialize creates: # - .python-version (Python version) # - pyproject.toml (project config) # - README.md # - .gitignore ``` ### Install Dependencies ```bash # Install packages (creates venv if needed) uv add requests pandas # Install dev dependencies uv add --dev pytest black ruff # Install from requirements.txt uv pip install -r requirements.txt # Install from pyproject.toml uv sync ``` ## Virtual Environment Management ### Pattern 1: Creating Virtual Environments ```bash # Create virtual environment with uv uv venv # Create with specific Python version uv venv --python 3.12 # Create with custom name uv venv my-env # Create with system site packages uv venv --system-site-packages # Specify location uv venv /path/to/venv ``` ### Pattern 2: Activating Virtual Environments ```bash # Linux/macOS source .venv/bin/activate # Windows (Command Prompt) .venv\Scripts\activate.bat # Windows (PowerShell) .venv\Scripts\Activate.ps1 # Or use uv run (no activation needed) uv run python script.py uv run pytest ``` ### Pattern 3: Using uv run ```bash # Run Python script (auto-activates venv) uv run python app.py # Run installed CLI tool uv run black . uv run pytest # Run with specific Python version uv run --python 3.11 python script.py # Pass arguments uv run python script.py --arg value ``` ## Package Management ### Pattern 4: Adding Dependencies ```bash # Add package (adds to pyproject.toml) uv add requests # Add with version constraint uv add "django>=4.0,<5.0" # Add multiple packages uv add numpy pandas matplotlib # Add dev dependency uv add --dev pytest pytest-cov # Add optional dependency group uv add --optional docs sphinx # Add from git uv add git+https://github.com/user/repo.git # Add from git with specific ref uv add git+https://github.com/user/[email protected] # Add from local path uv add ./local-package # Add editable local package uv add -e ./local-package ``` ### Pattern 5: Removing Dependencies ```bash # Remove package uv remove requests # Remove dev dependency uv remove --dev pytest # Remove multiple packages uv remove numpy pandas matplotlib ``` ### Pattern 6: Upgrading Dependencies ```bash # Upgrade specific package uv add --upgrade requests # Upgrade all packages uv sync --upgrade # Upgrade package to latest uv add --upgrade requests # Show what would be upgraded uv tree --outdated ``` ### Pattern 7: Locking Dependencies ```bash # Generate uv.lock file uv lock # Update lock file uv lock --upgrade # Lock without installing uv lock --no-install # Lock specific package uv lock --upgrade-package requests ``` ## Python Version Management ### Pattern 8: Installing Python Versions ```bash # Install Python version uv python install 3.12 # Install multiple versions uv python install 3.11 3.12 3.13 # Install latest version uv python install # List installed versions uv python list # Find available versions uv python list --all-versions ``` ### Pattern 9: Setting Python Version ```bash # Set Python version for project uv python pin 3.12 # This creates/updates .python-version file # Use specific Python version for command uv --python 3.11 run python script.py # Create venv with specific version uv venv --python 3.12 ``` ## Project Configuration ### Pattern 10: pyproject.toml with uv ```toml [project] name = "my-project" version = "0.1.0" description = "My awesome project" readme = "README.md" requires-python = ">=3.8" dependencies = [ "requests>=2.31.0", "pydantic>=2.0.0", "click
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | WARN |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (3)
curl -LsSf https://astral.sh/uv/install.sh | sh
CLAUDE.md
# Solution: Add to PATH or reinstall
Gates applied: no_behavioural_pass.
adb71e0b2512full audit observations/trust-audit/skill/wshobson__uv-package-manager.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-02 | adb71e0b2512 | CAUTION | B | 89 | first audit |
Questions
What does the Uv Package Manager skill do?
Multi-harness agentic plugin marketplace for Claude Code, Codex, Cursor, OpenCode, GitHub Copilot, Google Antigravity, and Pi
Is Uv Package Manager safe to install?
With care. The audit graded it B (89/100) and found 3 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Uv Package Manager access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (adb71e0b2512), read on 2026-10-02. The repository is watched, and a new audit runs when it changes — this is the first audit.