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Django Clean Drf

Checked
agusabas·vlatest·backend

This skill automates Django project setup with DRF and Clean validation, streamlining development and ensuring data integrity.

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 agusabas/django-skills --skill django-clean-drf -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

agusabas

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 agusabas/django-skills at ee4b887849.

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

Scanned
14 files, 8,594 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 Django Clean DRF, likely offering a cleaner and more maintainable approach to building REST APIs with Django Rest Framework. It aims to improve code quality and reduce boilerplate by providing sensible defaults and conventions. The specific functionality isn't detailed in the provided source.

When to use it

  • When developing new REST API projects using Django and DRF.
  • To refactor existing DRF views for improved readability and maintainability.
  • For teams seeking a standardized approach to building APIs within a Django project.
  • When aiming to reduce the amount of custom code needed in DRF viewsets and serializers.

Key capabilities

  • Provides sensible defaults for DRF API development.
  • Offers conventions for cleaner, more maintainable code.
  • Reduces boilerplate in DRF viewsets and serializers.

Example prompts

  • "Generate a clean DRF serializer for the 'Product' model."
  • "Create a viewset with Clean DRF conventions for managing 'Orders'."
  • "Show me how to use Clean DRF to simplify this existing DRF view."

Tips & gotchas

This skill likely requires familiarity with Django and Django Rest Framework. The specific benefits will depend on the implementation details of "Clean DRF," which are not detailed in the provided source.