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Python

Checked
lincyaw·vlatest·backend·Apache-2.0

Automates Python backend tasks like data processing, API integration, and script execution via lincyaw's custom tooling.

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 lincyaw/agent-env --skill python -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

lincyaw

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 lincyaw/agent-env at 50092e750f.

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

Commit
50092e750f
Manifest
.github/skills/python/SKILL.md
Scanned
6 files, 1,259 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 provides Python execution capabilities within an AI agent environment. It allows agents to run Python code, enabling them to perform calculations, manipulate data, and interact with external libraries. The skill supports both short snippets of code and longer scripts for more complex tasks.

When to use it

  • Data Analysis: When the agent needs to process or analyze numerical data received from an API or file.
  • Simple Calculations: For performing mathematical operations that are too complex for natural language processing alone.
  • Script Execution: To run existing Python scripts, such as those used for automation or data transformation.
  • Library Interaction: When the agent requires functionality provided by specific Python libraries (e.g., requests, pandas).

Key capabilities

  • Python code execution
  • Support for short code snippets and longer scripts
  • Access to standard Python libraries
  • Integration with external APIs via Python requests

Example prompts

  • "Calculate the square root of 144 using Python."
  • "Run this Python script: print('Hello, world!')"
  • "Use Python and the 'requests' library to fetch data from [URL]."

Tips & gotchas

The agent needs a basic understanding of Python syntax. Complex scripts or dependencies may require additional setup within the agent environment.