📚 resourceActivePromisingmedium

rails_ai_agents

by ThibautBaissac

A collection of specialized AI skills, agents, rules and hooks for modern Rails AI driven-development.

Stars

594

Skill Type

🏗️ Code Scaffolding & Templates

Quality Score

114/200

License

MIT

Forks

67

Last Updated

Jun 11, 2026

Discovered

Mar 27, 2026

Validation

Passed

github.com/ThibautBaissac/rails_ai_agents

Quality Breakdown

114/ 200

Content Signals

Gotchas/Edge Cases+40
Progressive Disclosure+30
Trigger Description+20
Verification/Safety+20
Code Examples+15
Composability+15

Repo Health

Recent Activity+15
Scripts/Automation+10
Real Usage (Issues)+10
Single Responsibility+10
Config/Persistence+10
Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

medium

Requires extended permissions (shell access, subagents). Review before use.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Persistent configuration modification: .claude/ directory structure creates and modifies Claude's internal configuration state (settings.json, settings.local.json, sentry-monitor-state.json)
  • Multi-agent spawning: Repository defines 19 specialized agents with autonomous operation capabilities, each with maxTurns limits but still capable of self-delegation
  • Instruction injection vectors: Multiple .md files contain agent behavior definitions and commands that could be manipulated to alter AI behavior (agents/, commands/, rules/)
  • External system integration: Includes Sentry MCP integration and state tracking (sentry-monitor-state.json) that could interface with external services
  • Lifecycle hooks: Repository advertises 6 lifecycle hooks that could trigger automated actions without explicit user approval gates