Implements production-ready Row Level Security (RLS) policies and security audits for Supabase applications.
This skill provides a comprehensive library of Row Level Security (RLS) templates designed to secure Supabase databases, focusing on multi-tenancy, user isolation, and specialized AI patterns like RAG and chat systems. It enables developers to automatically apply, test, and audit security policies through a standardized CLI workflow, ensuring data integrity and tenant isolation. By leveraging optimized PostgreSQL patterns and automated auditing scripts, it helps maintain a secure-by-default posture while minimizing performance overhead in production environments.
Características Principales
01AI-specific security patterns for chat histories and vector embeddings
02Automated security auditing scripts to detect missing RLS configurations
03Testing suite to validate policy enforcement across different user and org contexts
04Performance-optimized policy patterns using JWT claims and efficient indexing
050 GitHub stars
06Pre-configured templates for user isolation and multi-tenant SaaS architectures
Casos de Uso
01Building a multi-tenant SaaS where users must only access their organization's data
02Securing a RAG-based AI application with user-specific document embeddings
03Performing a security audit on an existing Supabase project to ensure full RLS coverage
