Rails Audit Thoughtbot logo

Rails Audit Thoughtbot

Organization
thoughtbot
rails-audit-thoughtbot

Perform comprehensive code audits of Ruby on Rails applications based on thoughtbot best practices. Use this skill when the user requests a code audit, code review, quality assessment, or analysis of a Rails application. The skill analyzes the entire codebase focusing on testing practices (RSpec), security vulnerabilities, code design (skinny controllers, domain models, PORO with ActiveModel), Rails conventions, database optimization, and Ruby best practices. Outputs a detailed markdown audit report grouped by category (Testing, Security, Models, Controllers, Code Design, Views) with severity levels (Critical, High, Medium, Low) within each category.

Overview

Publisherthoughtbot
Repositoryrails-audit-thoughtbot
Skill namerails-audit-thoughtbot
Stars
261
Forks
13
Bundled files
9
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thoughtbot on GitHub. Read the source before you install it.

Installation

Install the Rails Audit Thoughtbot AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thoughtbot/rails-audit-thoughtbot/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thoughtbot/rails-audit-thoughtbot.git \
  .claude/skills/rails-audit-thoughtbot
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rails Audit Thoughtbot in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rails Audit Thoughtbot on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rails Audit Thoughtbot is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rails Audit Skill (thoughtbot Best Practices)

Perform comprehensive Ruby on Rails application audits based on thoughtbot's Ruby Science and Testing Rails best practices, with emphasis on Plain Old Ruby Objects (POROs) over Service Objects.

Audit Scope

The audit can be run in two modes:

  1. Full Application Audit: Analyze entire Rails application
  2. Targeted Audit: Analyze specific files or directories

Execution Flow

Step 1: Determine Audit Scope

Ask user or infer from request:

  • Full audit: Analyze all of app/, spec/ or test/, config/, db/, lib/
  • Targeted audit: Analyze specified paths only

Step 2: Collect Optional Metrics (SimpleCov + RubyCritic)

Ask the user both questions upfront in a single AskUserQuestion so they can decide once:

  • Question: "Before starting the audit, would you like to collect automated metrics?\n\n1. SimpleCov — runs your test suite to capture actual code coverage percentages\n2. RubyCritic — analyzes code complexity, duplication, and smells (does not run tests)\n\nBoth are recommended for the most thorough audit."
  • Options: "Yes to both (Recommended)" / "SimpleCov only" / "RubyCritic only" / "Skip both"

Based on the user's choice, spawn the accepted subagents in parallel using the Task tool. Both can run at the same time because SimpleCov modifies the test helper while RubyCritic only reads source files — they don't conflict.

SimpleCov subagent (if accepted):

Read the file agents/simplecov_agent.md and follow all steps described in it. The audit scope is: {{SCOPE from Step 1}}. Return the coverage data in the output format specified in that file.

RubyCritic subagent (if accepted):

Read the file agents/rubycritic_agent.md and follow all steps described in it. The audit scope is: {{SCOPE from Step 1}}. Return the code quality data in the output format specified in that file.

After both agents finish, clean up:

  • If SimpleCov ran: rm -rf coverage/
  • If RubyCritic ran: rm -rf tmp/rubycritic/

Interpreting responses:

  • COVERAGE_FAILED / RUBYCRITIC_FAILED: no data for that tool — use estimation mode (SimpleCov) or omit the section (RubyCritic). Note the failure reason in the report.
  • COVERAGE_DATA: parse and keep in context for Steps 4 and 5 (overall coverage, per-directory breakdowns, lowest-coverage files, zero-coverage files).
  • RUBYCRITIC_DATA: parse and keep in context for Steps 4 and 5 (overall score, per-directory ratings, worst-rated files, top smells, most complex files).

Step 3: Load Reference Materials

Before analyzing, read the relevant reference files:

  • references/code_smells.md - Code smell patterns to identify
  • references/testing_guidelines.md - Testing best practices
  • references/poro_patterns.md - PORO and ActiveModel patterns
  • references/security_checklist.md - Security vulnerability patterns
  • references/rails_antipatterns.md - Rails-specific antipatterns (external services, migrations, performance)

Step 4: Analyze Code by Category

All analysis must stay within the project root and the bundle path. To inspect gem source, use bundle show <gem> to locate it (see "Locate gem source" under Analysis Commands) — never run filesystem-wide searches like find /. If you delegate any category below to subagents, include this constraint in each subagent's prompt.

Analyze in this order:

  1. Testing Coverage & Quality

    • If SimpleCov data was collected in Step 2, use actual coverage percentages instead of estimates
    • Cross-reference per-file SimpleCov data: files with 0% coverage = "missing tests"
    • Check for missing test files
    • Identify untested public methods
    • Review test structure (Four Phase Test)
    • Check for testing antipatterns
  2. Security Vulnerabilities

    • SQL injection risks
    • Mass assignment vulnerabilities
    • XSS vulnerabilities
    • Authentication/authorization issues
    • Sensitive data exposure
  3. Models & Database

    • Fat model detection
    • Missing validations
    • N+1 query risks
    • Callback complexity
    • Law of Demeter violations (voyeuristic models)
    • If RubyCritic data was collected, flag models with D/F ratings or high complexity
  4. Controllers

    • Fat controller detection
    • Business logic in controllers
    • Missing strong parameters
    • Response handling
    • Monolithic controllers (non-RESTful actions, > 7 actions)
    • Bloated sessions (storing objects instead of IDs)
    • If RubyCritic data was collected, flag controllers with D/F ratings or high complexity
  5. Code Design & Architecture

    • Service Objects → recommend PORO refactoring
    • Large classes
    • Long methods
    • Feature envy
    • Law of Demeter violations
    • Single Responsibility violations
    • If RubyCritic data was collected, cross-reference D/F rated files and high-complexity files with manual code review findings
  6. Views & Presenters

    • Logic in views (PHPitis)
    • Missing partials for DRY
    • Helper complexity
    • Query logic in views
  7. External Services & Error Handling

    • Fire and forget (missing exception handling for HTTP calls)
    • Sluggish services (missing timeouts, synchronous calls that should be backgrounded)
    • Bare rescue statements
    • Silent failures (save without checking return value)
  8. Database & Migrations

    • Messy migrations (model references, missing down methods)
    • Missing indexes on foreign keys, polymorphic associations, uniqueness validations
    • Performance antipatterns (Ruby iteration vs SQL queries)
    • Bulk operations without transactions

Step 5: Generate Audit Report

Create RAILS_AUDIT_REPORT.md in project root with structure defined in references/report_template.md.

When SimpleCov coverage data was collected in Step 2, use the SimpleCov variant of the Testing section in the report template. When coverage data is not available, use the estimation variant.

When RubyCritic data was collected in Step 2b, include the Code Quality Metrics section in the report using the RubyCritic variant from the report template. When RubyCritic data is not available, use the not available variant.

Severity Definitions

  • Critical: Security vulnerabilities, data loss risks, production-breaking issues
  • High: Performance issues, missing tests for critical paths, major code smells
  • Medium: Code smells, convention violations, maintainability concerns
  • Low: Style issues, minor improvements, suggestions

Key Detection Patterns

Service Object → PORO Refactoring

When you find classes in app/services/:

  • Classes named *Service, *Manager, *Handler
  • Classes with only .call or .perform methods
  • Recommend: Rename to domain nouns, include ActiveModel::Model

Fat Model Detection

Models with:

  • More than 200 lines
  • More than 15 public methods
  • Multiple unrelated responsibilities
  • Recommend: Extract to POROs using composition

Fat Controller Detection

Controllers with:

  • Actions over 15 lines
  • Business logic (not request/response handling)
  • Multiple instance variable assignments
  • Recommend: Extract to form objects or domain models

Missing Test Detection

For each Ruby file in app/:

  • Check for corresponding _spec.rb or _test.rb
  • Check for tested public methods
  • Report untested files and methods

Analysis Commands

Use Claude Code's built-in tools instead of shell commands — they're faster, handle permissions correctly, and give better output:

  • Find Ruby files by type: Use the Glob tool with patterns like app/models/**/*.rb, app/controllers/**/*.rb, app/services/**/*.rb
  • Find test files: Use Glob with spec/**/*_spec.rb or test/**/*_test.rb
  • Search for patterns in code: Use the Grep tool (e.g., search for rescue\s*$, \.save\b, params\.permit!)
  • Read and count lines in files: Use the Read tool to inspect files; count lines from the output
  • Find long files: Use Glob to list all app/**/*.rb files, then Read each to check line count
  • Locate gem source: When analysis requires reading gem-provided code (e.g., a base controller or concern from an engine like Devise, Administrate, or Madmin), use bundle show <gem> (or bundle exec gem which <gem>/<path>) to find the installed gem's directory, then Read/Grep within it. Never search outside the project root and the bundle path — no find / or home-directory-wide globs.

Report Output

Always save the audit report to RAILS_AUDIT_REPORT.md in the project root and present it to the user.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Rails Audit Thoughtbot AI skill do?

Perform comprehensive code audits of Ruby on Rails applications based on thoughtbot best practices. Use this skill when the user requests a code audit, code review, quality assessment, or analysis of a Rails application. The skill analyzes the entire codebase focusing on testing practices (RSpec), security vulnerabilities, code design (skinny controllers, domain models, PORO with ActiveModel), Rails conventions, database optimization, and Ruby best practices. Outputs a detailed markdown audit report grouped by category (Testing, Security, Models, Controllers, Code Design, Views) with severi...

Why use Rails Audit Thoughtbot on TypingMind?

Because you install it once and use it with any model. Rails Audit Thoughtbot is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rails Audit Thoughtbot in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thoughtbot/rails-audit-thoughtbot/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Rails Audit Thoughtbot?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rails Audit Thoughtbot?

As many as you like. As long as a model supports skills, you can use Rails Audit Thoughtbot with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rails Audit Thoughtbot AI skill free?

Yes. It is published on GitHub by thoughtbot under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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