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Python Executor

Checked
inference-sh·vlatest·backend

Executes Python code snippets within a secure sandbox to derive insights from data and fulfill complex requests.

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 inference-sh/skills --skill python-executor -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

inference-sh

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

    Only contacts known or declared hosts: api.github.com.

    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 host

  • 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 inference-sh/skills at c2d5678f14.

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

Commit
c2d5678f14
Manifest
tools/utilities/python-executor/SKILL.md
Scanned
1 file, 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

The inference-sh/python-executor skill allows AI agents to execute Python code. It provides a secure and sandboxed environment for running arbitrary Python scripts, enabling complex logic and data processing within an agent workflow. This capability extends the agent's functionality beyond simple text generation and interaction.

When to use it

  • Data Analysis: An agent needs to calculate statistics from a dataset provided in a file or API response.
  • Code Generation & Testing: The agent generates Python code snippets and then executes them to verify correctness or produce output.
  • Complex Calculations: Performing calculations that are too complex for simple prompting, such as financial modeling or scientific simulations.
  • File Manipulation: The agent needs to read from, write to, or modify files on a system (within the sandbox).

Key capabilities

  • Executes Python code
  • Sandboxed environment for security
  • Supports file input/output within the sandbox

Example prompts

  • "Calculate the average of these numbers: 10, 20, 30, 40, 50."
  • "Write a python script to read this CSV and output the first column."
  • “Generate a Python function that sorts a list of strings alphabetically.”

Tips & gotchas

  • The sandbox environment has limitations on external access. Ensure any required libraries are available within the execution context.