Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add acaprino/daodan --skill uv-package-managergit clone --depth 1 https://github.com/acaprino/daodanWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/acaprino/daodan/uv-package-manager)<a href="https://agentmods.dev/skills/acaprino/daodan/uv-package-manager"><img src="https://agentmods.dev/badge/skills/acaprino/daodan/uv-package-manager/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/acaprino/daodan/uv-package-manager"><img src="https://agentmods.dev/badge/skills/acaprino/daodan/uv-package-manager.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.01547 |
| Opus 5 | $0.00022 | $0.00773 |
| Sonnet 5 | $0.00009 | $0.00309 |
| Haiku 4.5 | $0.00004 | $0.00155 |
Grade C, and why
uv-package-manager scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -LsSf https://astral.sh/uv/install.sh | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -LsSf https://astral.sh/uv/install.sh | sh How it starts
The opening of the file, as written. The whole thing — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UV Package Manager
Use uv - an extremely fast Python package installer and resolver written in Rust - for modern Python project management and dependency workflows.
When to Invoke
- Setting up new Python projects or managing dependencies
- Creating and managing virtual environments
- Installing or switching Python interpreter versions
- Resolving dependency conflicts efficiently
- Migrating from pip, pip-tools, or poetry to uv
- Speeding up CI/CD pipelines with faster installs
- Working with lockfiles for reproducible builds
- Managing monorepo Python projects with workspaces
Core Concepts
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
- Lockfile support: Reproducible installations
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
# 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
pip install uv
# Using Homebrew (macOS)
brew install uv
# Verify
uv --version
Quick Start
# Create new project
uv init my-project
cd my-project
# 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
# Sync from pyproject.toml
uv sync
Virtual Environment Management
# Create virtual environment
uv venv
uv venv --python 3.12
uv venv my-env
# Activate
source .venv/bin/activate # Linux/macOS
.venv\Scripts\activate.bat # Windows CMD
.venv\Scripts\Activate.ps1 # Windows PowerShell
# Or skip activation with uv run
uv run python script.py
uv run pytest
uv run --python 3.11 python script.py
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 250 lines · 43 tokens per session scan C a84f69424e5f
uv-package-manager is a skill published in the GitHub repository acaprino/daodan (9 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 1,547 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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