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Python Skills

Checked
llama-farm·vlatest·backend·Apache-2.0

Automates Python scripting tasks like data processing, API interactions, and system administration via code generation.

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 llama-farm/llamafarm --skill python-skills -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

llama-farm

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 llama-farm/llamafarm at 6244d466e8.

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

Commit
6244d466e8
Manifest
.claude/skills/python-skills/SKILL.md
Scanned
7 files, 3,166 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 directly within their environment, allowing them to perform complex data processing and automation tasks. It bridges the gap between natural language requests and executable logic by providing a runtime for standard library functions and custom scripts.

When to use it

  • Performing numerical calculations or statistical analysis on datasets provided in text format.
  • Automating repetitive file system operations like renaming, moving, or parsing log files.
  • Generating dynamic content such as formatted reports, CSV exports, or simple data visualizations.
  • Validating user input against complex logical rules before proceeding with a workflow.

Key capabilities

  • Full Python interpreter access for executing scripts on demand.
  • Support for standard library modules to handle common tasks without external dependencies.
  • Ability to process and manipulate structured data formats like JSON, CSV, and text.
  • Execution of multi-line code blocks generated from natural language instructions.

Example prompts

  • "Create a Python script that reads the attached sales data and calculates the total revenue for each month."
  • "Write code to parse this log file and extract all error messages containing 'timeout' into a new list."
  • "Generate a function that formats a user's name and email address into a professional greeting string."

Tips & gotchas

Ensure your AI agent has access to the necessary Python environment and standard libraries before requesting complex operations. Keep code requests focused on specific tasks to avoid syntax errors or infinite loops in the execution context.