by thoughtbot · Claude Skill · ★ 232
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Rails Audit Skill (thoughtbot Best Practices) A [Claude Code][claude-code] skill that performs comprehensive code audits of Ruby on Rails applications based on [thoughtbot's][thoughtbot] Ruby Science and Testing Rails best practices. [claude-code]: https://docs.anthropic.com/en/docs/claude-code [thoughtbot]: https://thoughtbot.com Quick links [Ruby Science][ruby-science] - thoughtbot's guide to fixing code smells [Testing Rails][testing-rails] - thoughtbot's guide to testing Rails applications [Rails Antipatterns][rails-antipatterns] - Best practices for Ruby on Rails refactoring (Chad Pytel & Tammer Saleh) [ruby-science]: https://github.com/thoughtbot/ruby-science [testing-rails]: https://github.com/thoughtbot/testing-rails [rails-antipatterns]: https://www.informit.com/store/rails-antipatterns-best-practice-ruby-on-rails-refactoring-9780321604811 Table of contents Overview Installation Usage Full application audit Targeted audit Optional data collection SimpleCov (test coverage) RubyCritic (code quality) Reference materials Contributing License About thoughtbot Overview This skill analyses Rails applications and generates detailed audit reports covering: Test
| Stars | 232 |
| Forks | 13 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 71.6683547207188/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-14 |
| Created | 2026-01-09 |
| Platforms | claude-code |
| Est. Tokens | ~7k |
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rails-audit-thoughtbot is Claude skill to run code audits. It is categorized as a Claude Skill with 232 GitHub stars.
You can find installation instructions and usage details in the rails-audit-thoughtbot GitHub repository at github.com/thoughtbot/rails-audit-thoughtbot. The project has 232 stars and 13 forks, indicating an active community.
rails-audit-thoughtbot is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to rails-audit-thoughtbot on Agent Skills Hub include c4-genai-suite, atlassian-mcp-server, DeepMCPAgent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.