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Rails Ai:Models

Checked
zerobearing2·vlatest·backend·MIT

Generates Rails ActiveRecord models from natural language descriptions, accelerating database schema creation.

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 zerobearing2/rails-ai --skill rails-ai:models -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

zerobearing2

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 zerobearing2/rails-ai at 8ece0d4398.

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

Commit
8ece0d4398
Manifest
skills/models/SKILL.md
Scanned
1 file, 1,078 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 rails-ai:models skill allows AI agents to interact with and manipulate Rails model definitions. It can generate new models, add attributes to existing models, and modify validations based on natural language instructions. This facilitates rapid prototyping and automated code generation for Ruby on Rails applications.

When to use it

  • Rapid Prototyping: Quickly create initial database schemas and models when exploring a new application idea.
  • Automated Code Generation: Generate boilerplate model code, reducing manual effort in repetitive tasks.
  • Refactoring Assistance: Modify existing models based on evolving requirements without extensive manual editing.
  • Learning Rails: Experiment with different model structures and validations to understand Rails conventions better.

Key capabilities

  • Model generation from natural language descriptions.
  • Attribute addition to existing models.
  • Validation modification within model definitions.
  • Rails code manipulation based on user instructions.

Example prompts

  • "Create a new model called 'Product' with attributes 'name', 'description', and 'price'."
  • "Add an integer attribute named 'quantity' to the 'Product' model."
  • "Add a validation to the 'Post' model that requires the title to be present."

Tips & gotchas

The agent needs access to the Rails environment (e.g., rails console) and appropriate permissions to modify files. Ensure the AI has sufficient context about the existing application structure for accurate code generation.