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Python Uv Scripts

Listed
basher83·vlatest·backend·MIT

Automates complex server management tasks using Python scripts executed via UV loops for robust, asynchronous backend operations.

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 basher83/lunar-claude --skill python-uv-scripts -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

basher83

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 failed 2 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: netbox.spaceships.work.

    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.

    Hosts contacted

    api.github.comsource hostnetbox.spaceships.workundeclaredpypi.orgpackage registry

    What it found

    • plugins/devops/python-tools/skills/python-uv-scripts/examples/04-api-clients/netbox_client.py:65contacts netbox.spaceships.work
      url: str = "https://netbox.spaceships.work"

  • No credential access: failed

    Touches credential material in 1 place.

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

    What it found

    • plugins/devops/python-tools/skills/python-uv-scripts/reference/security-patterns.md:73OS keychain / credential manager
      password = keyring.get_password(service, username)

  • 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 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 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 basher83/lunar-claude at e81cabf81e.

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

Commit
e81cabf81e
Manifest
plugins/devops/python-tools/skills/python-uv-scripts/SKILL.md
Scanned
24 files, 4,876 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 allows AI agents to execute Python scripts using the uv framework, enabling them to run command-line tools and perform tasks that require a Python environment. It facilitates interaction with external systems and automates workflows through script execution. The agent can leverage this for data processing, system administration, or any task achievable via Python scripting.

When to use it

  • Automating repetitive tasks: Running scripts to clean up files or generate reports.
  • Interacting with APIs: Executing Python scripts that call external APIs and process the responses.
  • Running command-line tools: Utilizing Python wrappers for system utilities like ffmpeg or jq.
  • Data transformation: Processing data using Python libraries and saving the results to a file.

Key capabilities

  • Script execution via uv framework.
  • Python environment access.
  • Command-line tool integration.
  • Data processing with Python libraries.

Example prompts

  • "Run this Python script: print('Hello, world!')"
  • "Execute the script to convert this video file using ffmpeg."
  • "Process this JSON data and extract specific fields using a Python script."

Tips & gotchas

The agent needs access to a configured Python environment with necessary libraries installed for optimal functionality. Ensure any required dependencies are present before executing scripts.