Rails Concern
CheckedRails Concern generates boilerplate code for common methods within your models, boosting developer productivity and ensuring consistency.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add thibautbaissac/rails_ai_agents --skill rails-concern -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
thibautbaissac
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.
Automated safety checks
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 thibautbaissac/rails_ai_agents at 03622f23b4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 03622f23b4
- Scanned
- 2 files, 622 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The rails-concern skill allows AI agents to generate and integrate Rails concerns into a Ruby on Rails application. It can automate repetitive tasks, extract common logic from controllers or models, and promote code reusability within a Rails project. This helps developers maintain cleaner, more organized, and efficient codebase.
When to use it
- Refactor existing controller actions by extracting shared functionality into a concern.
- Create reusable modules for authentication, authorization, or data validation across multiple models.
- Simplify complex model logic by encapsulating related methods within a concern.
- Generate concerns based on specific naming conventions and parameter lists.
Key capabilities
- Generates Rails concerns.
- Integrates concerns into controllers and models.
- Promotes code reusability.
- Extracts common logic from existing code.
Example prompts
- "Create a concern for handling user authentication in my application."
- "Generate a concern named 'DataValidator' with methods for validating email and password fields."
- "Move the
calculate_totalmethod from myOrdermodel into a concern calledCalculations."
Tips & gotchas
- Requires a basic understanding of Ruby on Rails concepts.
- Ensure proper naming conventions are followed when defining concerns for optimal integration.