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Python

Checked
martinholovsky·vlatest·backend·Unlicense

Generates, debugs, and explains Python code snippets for backend tasks, leveraging Martin Holovky's expertise.

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 martinholovsky/claude-skills-generator --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

martinholovsky

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 martinholovsky/claude-skills-generator at 1086ef2567.

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

Commit
1086ef2567
Manifest
skills/python/SKILL.md
Scanned
4 files, 1,155 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 analysis, run scripts, and interact with external libraries without manual intervention. It bridges the gap between natural language requests and executable backend logic by providing a runtime for dynamic programming tasks.

When to use it

  • Processing large datasets or performing statistical calculations that require specific Python packages like Pandas or NumPy.
  • Automating repetitive backend tasks such as file manipulation, API calls, or generating reports via scripts.
  • Prototyping algorithms or testing logic quickly before integrating them into a production codebase.
  • Executing mathematical operations or simulations where built-in agent tools are insufficient for the required precision.

Key capabilities

  • Direct execution of Python scripts generated from natural language prompts.
  • Access to a standard Python runtime environment for backend processing.
  • Support for importing and utilizing external Python libraries and modules.
  • Dynamic generation of output based on script results, including data structures and computed values.

Example prompts

  • "Analyze this CSV file containing sales data and calculate the total revenue per region."
  • "Write a script to fetch the latest weather API data for London and format it as JSON."
  • "Create a function that filters a list of user records based on specific age criteria and returns the top 10."

Tips & gotchas

Ensure your AI agent has access to necessary external libraries if the task requires them, as availability may depend on the underlying environment configuration. Be mindful of execution time limits when requesting complex computations or heavy data processing tasks.