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Python Script

Checked
vaayne·vlatest·backend·MIT

Execute custom Python scripts to automate complex backend tasks, data processing, and API interactions.

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 vaayne/agent-kit --skill python-script -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

vaayne

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 vaayne/cc-plugins at 8f1289bf90.

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

Commit
8f1289bf90
Manifest
skills/python-script/SKILL.md
Scanned
2 files, 88 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 an AI agent to execute Python scripts. It can be used to perform complex calculations, interact with external APIs, or automate tasks that require programmatic control. The agent will receive the script as input and run it within a sandboxed environment.

When to use it

  • Automating data processing: Extracting information from websites or files and transforming it into a usable format.
  • Performing calculations: Running complex mathematical operations or simulations beyond simple arithmetic.
  • Interacting with APIs: Making requests to external services and integrating their functionality into the agent's workflow.
  • Generating dynamic content: Creating custom reports, documents, or other outputs based on specific data inputs.

Key capabilities

  • Python script execution
  • Sandboxed environment for security
  • Integration with external APIs (implied)
  • Data processing and transformation

Example prompts

  • "Run this Python script to calculate the average of these numbers: [list of numbers]"
  • "Execute this code to fetch data from this API endpoint: [API URL] and format it as JSON."
  • “Can you run this python script? It will generate a report based on this dataset: [dataset description].”

Tips & gotchas

The agent's Python environment may have limited libraries installed. Ensure the script uses only standard library modules or explicitly requests any dependencies beforehand.