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Django Forms

Checked
kjnez·vlatest·backend·MIT

This skill generates Django form definitions for web applications, streamlining data input and validation for a robust backend.

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 waldencui/claude-code-django --skill django-forms -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

kjnez

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 kjnez/claude-code-django at ef057aafe8.

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

Scanned
1 file, 65 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 an AI agent to generate and process Django forms. It can create form definitions based on provided models, render forms in HTML templates, and handle user input validation. The resulting forms are crucial components of dynamic web applications built with the Django framework.

When to use it

  • Building User Input Interfaces: Generate forms for collecting data from users, such as contact information or registration details.
  • Data Validation: Implement robust form validation logic to ensure data integrity before saving to a database.
  • Dynamic Web Application Development: Integrate seamlessly into Django projects requiring user interaction and data submission.
  • Rapid Prototyping: Quickly create functional forms for testing and iterating on application designs.

Key capabilities

  • Form generation from models
  • HTML rendering of forms
  • User input validation

Example prompts

  • "Create a Django form for the 'Product' model with fields for name, description, and price."
  • "Generate HTML code to display the 'ContactForm'."
  • "Validate user input in the 'RegistrationForm' and provide error messages if necessary."

Tips & gotchas

This skill requires familiarity with Django models and templates. Ensure your AI agent has access to the relevant Django project context for optimal form generation and rendering.