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Python Pro

Checked
hainamchung·vlatest·backend·MIT

Generates robust Python backend code, including APIs and data processing scripts, optimized for performance and scalability.

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 hainamchung/agent-assistant --skill python-pro -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

hainamchung

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 hainamchung/agent-assistant at 89cb983bb4.

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

Commit
89cb983bb4
Manifest
skills/python-pro/SKILL.md
Scanned
1 file, 157 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 advanced Python programming capabilities to AI agents. It allows agents to execute Python code, manipulate data structures, and leverage common Python libraries for complex tasks. The agent can generate scripts, analyze data, and perform calculations based on user instructions.

When to use it

  • Data analysis: When you need the agent to process and extract insights from datasets (e.g., "Analyze this CSV file and tell me the average value of column X").
  • Script generation: To automate tasks by having the agent create Python scripts for specific purposes (e.g., "Write a script to download all images from this website").
  • Mathematical calculations: For complex mathematical operations or simulations that go beyond simple arithmetic (e.g., “Calculate the compound interest on $10,000 at 5% annually for 10 years”).
  • Data transformation: When you need to convert data between different formats or structures using Python libraries (e.g., "Convert this JSON data into a CSV file").

Key capabilities

  • Python code execution
  • Data structure manipulation (lists, dictionaries, etc.)
  • Script generation
  • Integration with common Python libraries

Example prompts

  • "Write a python script to scrape the titles of all articles from [website URL]."
  • "Calculate the factorial of 10 using Python."
  • "Convert this JSON data into a CSV file: [JSON data]"

Tips & gotchas

The agent requires access to a Python environment. Complex scripts may require specific libraries to be installed beforehand, which might need manual configuration.