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JaveedIshaq
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rls-security

Implement Row-Level Security policies for PostgreSQL databases using SQL and PL/pgSQL.

1|Updated Jan 8, 2026
Search Tags:#postgresql#rls#access control#supabase#data privacy#database security
One-click install
npx skills add https://github.com/JaveedIshaq/ai-workflow-orchestrator --skill rls-security
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rls-security
Source: https://github.com/JaveedIshaq/ai-workflow-orchestrator/tree/main/templates/skills/rls-security
Command: npx skills add https://github.com/JaveedIshaq/ai-workflow-orchestrator --skill rls-security

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive patterns and best practices for implementing Row-Level Security (RLS) in your database, ensuring that users can only access the data they are authorized to see.

Core Features & Use Cases

  • Policy Definition: Learn how to create SELECT, INSERT, UPDATE, and DELETE policies.
  • Bypass Strategies: Implement secure bypasses for super admins and service roles.
  • Common Patterns: Covers user ownership, team access, role-based access, and multi-tenant isolation.
  • Debugging & Troubleshooting: Includes tools and checklists for diagnosing RLS issues.
  • Use Case: Securely manage user data in a multi-tenant SaaS application by ensuring each user can only access and modify records belonging to their own organization.

Quick Start

Apply the 'user_owns_items' policy to the 'items' table to ensure users can only access their own data.

Frequently Asked Questions about rls-security

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

FAQPage Schema
How do I implement Row-Level Security in PostgreSQL for a multi-tenant application?▼

You can implement Row-Level Security by defining SELECT, INSERT, UPDATE, and DELETE policies on your tables. This ensures users in a multi-tenant application only access records explicitly authorized by their tenant or organization identifiers.

What are common PostgreSQL RLS policy patterns for user ownership and team access?▼

Common Row-Level Security patterns include user ownership checks using session variables and team access via junction table lookups. These patterns ensure users only interact with data scoped to their specific profile or group membership.

How do I bypass RLS policies for super admins and service roles in Supabase?▼

Bypass Row-Level Security policies for super admins by granting the BYPASSRLS attribute or using a designated service role. This ensures elevated roles can perform administrative tasks without being restricted by standard data access policies.

Can I optimize PostgreSQL Row-Level Security performance for large datasets?▼

PostgreSQL Row-Level Security performance can be optimized by ensuring policy conditions use indexed columns and efficient SQL. Avoiding complex PL/pgSQL functions in policy definitions helps the query planner maintain fast data retrieval speeds.

Why are my Supabase Row-Level Security policies leaking data across users?▼

Row-Level Security policies might leak data if they are not applied to all operations or if roles bypass them. Use provided debugging techniques and checklists to diagnose missing policies on INSERT or incorrect session variable evaluations.

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