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Python Uv

Checked
beshkenadze·vlatest·backend

Generates Python code using UV loop libraries for asynchronous backend tasks based on provided specifications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add beshkenadze/claude-skills-marketplace --skill python-uv -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

beshkenadze

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned beshkenadze/claude-skills-marketplace at 26d6b58455.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
26d6b58455
Manifest
skills/development/python-uv/SKILL.md
Scanned
3 files, 631 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to execute Python code leveraging the uv library. It allows for running asynchronous HTTP servers and APIs directly within an agent's workflow, facilitating tasks like building simple webhooks or interacting with external services that require a server component. The skill provides a streamlined way to manage and deploy these micro-services.

When to use it

  • Building Webhooks: Create a temporary endpoint for receiving data from external services.
  • Simple API Development: Quickly prototype and test simple APIs without complex frameworks.
  • Asynchronous Task Handling: Manage background tasks or processes that require asynchronous operation.
  • Internal Service Interaction: Facilitate communication between different components of an AI agent’s workflow by exposing a local HTTP server.

Key capabilities

  • Python code execution
  • uv library integration for asynchronous HTTP servers
  • API endpoint creation and management
  • Asynchronous task handling

Example prompts

  • "Create a simple API endpoint at /hello that returns 'Hello, world!'"
  • "Run this Python script using uv: [script content]"
  • "Start an HTTP server listening on port 8000 with a route for /data."

Tips & gotchas

The agent needs access to a Python environment with the uv library installed. Be mindful of security implications when exposing endpoints, especially in production environments; consider limiting access and validating input.