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Python

Checked
poletron·vlatest·backend·CC0-1.0

Automates Python script execution and data processing tasks via API calls, simplifying complex backend workflows.

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 odjaramillo/custom-rules --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

poletron

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 poletron/custom-rules at aba6668777.

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

Commit
aba6668777
Manifest
registry/skills/python/SKILL.md
Scanned
16 files, 1,185 lines
Copies in repo
2 — all of them scanned
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 poletron-python skill allows AI agents to execute Python code. It provides a secure environment for running custom scripts, enabling complex data manipulation and task automation within the agent's workflow. This skill is particularly useful when standard tools are insufficient or when integrating with existing Python libraries.

When to use it

  • Data Transformation: When needing to perform intricate calculations or transformations on data that go beyond simple operations.
  • API Integration: To interact with APIs requiring custom authentication or complex request formatting handled through Python scripts.
  • Custom Logic Execution: Implementing specialized logic or algorithms not natively supported by the agent's core capabilities.
  • File Processing: For tasks involving parsing, generating, or manipulating files beyond basic text operations.

Key capabilities

  • Python code execution
  • Secure environment for script execution
  • Integration with existing Python libraries (implied)

Example prompts

  • "Run this python script: print('Hello world')"
  • "Execute the following code to calculate the average of these numbers: [1, 2, 3, 4, 5]"
  • "Can you run a Python script that reads data from this file and extracts specific information?"

Tips & gotchas

The agent requires access to a suitable Python runtime environment. Be mindful of potential security implications when executing arbitrary code; ensure scripts are trusted sources.