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Python Development

Checked
moodmnky-llc·vlatest·backend

Develops robust Python backend solutions, leveraging industry best practices and moodmnky-LLC's expertise for scalable applications.

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 moodmnky-llc/mood-mnky-command --skill python-development -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

moodmnky-llc

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 moodmnky-llc/mood-mnky-command at 35d8ce76db.

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

Commit
35d8ce76db
Manifest
.cursor/skills/python-development/SKILL.md
Scanned
2 files, 134 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 allows AI agents to write, debug, and execute Python code. It can generate scripts for various tasks, including data manipulation, web scraping, and automating repetitive processes. The agent can also assist with understanding existing Python codebases and refactoring functionality.

When to use it

  • Automating Tasks: Generate a script to automatically rename files in a directory based on a specific pattern.
  • Data Analysis: Write a short program to extract key statistics from a CSV file.
  • Web Scraping: Create a script to pull data from a website and save it to a structured format.
  • Code Debugging: Identify and fix errors in existing Python code snippets.

Key capabilities

  • Python Code Generation
  • Debugging Assistance
  • Code Execution
  • Refactoring Support
  • Data Manipulation Scripting

Example prompts

  • "Write a python script to download all images from example.com."
  • "Can you debug this Python code: [code snippet]?"
  • "Generate a Python function that calculates the factorial of a given number."

Tips & gotchas

The agent's performance depends on the clarity and specificity of your prompts. Providing context or desired output formats will improve results.