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Rails Model Generator

Checked
dchuk·vlatest·backend·MIT

Generates Ruby on Rails database models and migrations from natural language descriptions, streamlining backend development.

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 dchuk/rails_ai_agents --skill rails-model-generator -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

dchuk

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 dchuk/rails_ai_agents at e3f5bd8229.

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

Commit
e3f5bd8229
Manifest
.claude/skills/rails-model-generator/SKILL.md
Scanned
2 files, 537 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

The dchuk-rails-model-generator skill automates Rails model generation. It creates files including migrations, models, and tests based on provided specifications. This significantly reduces development time for new features and database interactions within a Rails application.

When to use it

  • You need to quickly scaffold a new model with associated migration and test file in your Rails project.
  • You're starting a new feature that requires a custom database table and related code.
  • You want to automate repetitive tasks involved in setting up basic Rails models, ensuring consistency and reducing errors.
  • When you need to generate multiple models based on a predefined schema or API response.

Key capabilities

  • Generates model files (e.g., app/models/).
  • Creates migration files (e.g., db/migrate/).
  • Produces test files (e.g., test/models/).

Example prompts

  • "Generate a Rails model named 'Product' with attributes: name (string), price (decimal)."
  • "Create a model called 'Article' with columns for title, content and publication_date."
  • "Build a 'User' model including email, password and admin status."

Tips & gotchas

  • Ensure you have a Rails environment set up before using this skill. The agent will need access to your project’s directory structure.