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Python Backend

Checked
amrahman90·vlatest·backend·MIT

Helps with Python, backend development as part of developing backend services and APIs 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 amrahman90/python-expert-agent --skill python-backend -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

amrahman90

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 amrahman90/python-expert-agent at bf17956b01.

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

Commit
bf17956b01
Manifest
.opencode/skills/python-backend/SKILL.md
Scanned
1 file, 454 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 generate Python backend code. It can be used for creating APIs, data processing scripts, and other server-side logic. The agent leverages its expertise in Python to produce functional and well-structured code based on user prompts.

When to use it

  • API Development: Quickly prototype or build simple REST APIs for applications.
  • Data Processing: Generate scripts to clean, transform, and analyze datasets.
  • Backend Logic Generation: Create the server-side components of web applications or other software projects.
  • Automating Tasks: Develop Python scripts to automate repetitive backend tasks.

Key capabilities

  • Python code generation
  • API creation
  • Data processing script development
  • Server-side logic implementation

Example prompts

  • "Create a simple Flask API endpoint that returns 'Hello, world!'"
  • "Write a Python script to read data from a CSV file and calculate the average of a specific column."
  • "Generate a Django model for a 'Book' with fields: title, author, publication_year."

Tips & gotchas

The agent assumes basic familiarity with Python concepts. For complex projects, providing detailed specifications or existing code snippets can improve results.