row-level-security

Implement PostgreSQL Row Level Security policies for multi-tenant data isolation.

783|62|Updated Jan 19, 2026
One-click install
npx skills add https://github.com/dadbodgeoff/drift --skill row-level-security
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: row-level-security
Source: https://github.com/dadbodgeoff/drift/tree/main/drift%20v1%20depreciated/skills/row-level-security
Command: npx skills add https://github.com/dadbodgeoff/drift --skill row-level-security

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill implements robust database-level data isolation for multi-tenant applications, ensuring users can only access their own data and preventing data leaks.

Core Features & Use Cases

  • Database-Level Enforcement: Enforces data access policies directly within PostgreSQL, making them impossible to bypass at the application level.
  • User-Based Policies: Restricts data visibility, insertion, updates, and deletions based on the logged-in user's ID.
  • Organization-Based Multi-Tenancy: Isolates data across different organizations, ensuring users only see data relevant to their organization.
  • Role-Based Access Control: Defines granular permissions (viewer, editor, admin) for users within organizations.
  • Use Case: In a SaaS application where each company has its own set of projects, RLS ensures that users from Company A cannot view or modify projects belonging to Company B.

Quick Start

Enable Row Level Security on your 'projects' table and create a policy allowing users to view only their own projects.

Frequently Asked Questions about row-level-security

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce data isolation in a multi-tenant PostgreSQL application?

To enforce data isolation in a multi-tenant PostgreSQL application, implement Row Level Security (RLS) policies directly in the database, ensuring users can only access their own organization's data and preventing application-level bypasses.

Can I restrict PostgreSQL data access based on organization and user ID?

Yes, PostgreSQL data access can be restricted by creating user-based and organization-based RLS policies. This isolates data across different tenants, ensuring users only view, insert, update, or delete data relevant to their specific organization.

Does Supabase authentication work with PostgreSQL Row Level Security for multi-tenancy?

Supabase authentication integrates with PostgreSQL Row Level Security to manage multi-tenancy. It uses the logged-in user's ID and role-based access controls to securely enforce data visibility and modification policies across organizations.

What is the best way to prevent application-level bypasses of database security policies?

The best way to prevent application-level bypasses is database-level enforcement. By implementing PostgreSQL Row Level Security policies directly within the database, data access rules become impossible to bypass through the application layer.

How do I set up role-based access control for users within organizations in PostgreSQL?

To set up role-based access control in PostgreSQL, define granular permissions like viewer, editor, and admin within your RLS policies. This restricts user capabilities for SELECT, INSERT, UPDATE, and DELETE operations based on their organizational role.