Nightshift
← All builds

Supabase RLS Pattern Library

18 Row Level Security patterns that hold up in production, plus the mistakes I kept seeing an AI make when it writes RLS.

What's inside

18 patterns total, each a .sql file with a paired .md explainer, in 4 groups.

8 AI gaps

  • Anon-role omission
  • SECURITY DEFINER bypass
  • Permissive policy broadening
  • NULL equality on shared resources
  • INSERT without WITH CHECK
  • UPDATE without WITH CHECK
  • EXISTS without an index
  • JWT claim extraction

4 multi-tenant

  • Tenant isolation on SELECT
  • Tenant isolation on INSERT
  • Admin cross-tenant access
  • Soft-delete visibility

2 JWT claims

  • Custom role from JWT
  • Org-scoped access

4 storage

  • User private bucket
  • Team shared storage
  • Public read, private write
  • Signed URL access

Who it's for

Developers shipping multi-tenant Supabase apps whose AI-generated RLS passed code review but would fail a security audit.

Why it holds up

Each of the 18 patterns is a .sql file paired with a .md explainer, not a snippet with no context.

Includes a worked example on SECURITY DEFINER: it runs as the postgres superuser and bypasses RLS entirely, plus a detection query against information_schema.routines.

Ships a companion audit-log table pattern, targeted at PostgreSQL 15+ and Supabase.

Ready to grab it?

One-time payment, instant download, no subscription.