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Supabase Postgres Best Practices

ASecurity

Use when designing schemas, querying, indexing, optimizing, and securing supabase postgres best practices databases and data models.

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  • Added September 27, 2026
ai-agentsjavascriptjavabashsqlnoderailstestingrefactoringapidatabase

Works with

  • terminal
  • cli
  • api

Security analysis

A100/100

Scanned September 29, 2026

npx -y skills add Harmitx7/tribunal-kit --skill supabase-postgres-best-practices --agent claude-code

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SKILL.md
---
name: supabase-postgres-best-practices
description: "Use when designing schemas, querying, indexing, optimizing, and securing supabase postgres best practices databases and data models."
version: 6.0.0
last-updated: 2026-09-29
skills:
  - database-design
  - sql-pro
  - db-latency-auditor
tools: Read, Grep, Glob, Bash, Edit, Write
scripts-binding:
  - .agent/scripts/lint_runner.js
  - .agent/scripts/verify_all.js
---

# Supabase & Postgres Best Practices

## Mandatory Pre-Flight Context Inspection
Before reading, generating, or refactoring code in the `supabase-postgres-best-practices` domain, inspect these 5 critical parameters:
1. **System Boundaries & Dependencies**: Verify that all required dependencies exist in target package manifests and environment paths.
2. **Runtime Context & Platform Invariants**: Confirm target platform constraints (Node.js, Browser, Mobile OS, Edge runtime) before applying APIs.
3. **Execution Guardrails**: Identify potential side-effects, state mutations, and unhandled asynchronous exceptions.
4. **Validation & Type Contracts**: Validate input data schemas and strict type constraints across all module interfaces.
5. **Observability & Proof of Execution**: Ensure execution produces tangible verification signals (terminal output, tests, metrics).


## Activation Boundaries
- **Activate when:** Use when designing schemas, querying, indexing, optimizing, and securing supabase postgres best practices databases and data models.
- **DO NOT activate when:** The task falls outside the `supabase-postgres-best-practices` domain or is managed by a different dedicated specialist agent.


## πŸ” Multi-Pass Execution Protocol

| Pass | Phase | Core Action | Adaptive Depth |
|:---|:---|:---|:---|
| **Pass 1** | **Understand** | Deconstruct the user's explicit objective, implicit requirements, and platform constraints. | Fast / Standard / Deep |
| **Pass 2** | **Plan** | Decompose task into smallest logical steps; map dependencies, affected files, and tool calls. | Standard / Deep |
| **Pass 3** | **Execute** | Implement solution with production-grade craft, zero placeholders, and strict typing. | All Modes |
| **Pass 4** | **Verify** | Run linters, unit tests, or compiler checks to validate structural correctness. | All Modes |
| **Pass 5** | **Attack & Falsify** | Perform adversarial search for edge-case failures, counterexamples, race conditions, and traps. | Standard / Deep |
| **Pass 6** | **Harden** | Eliminate discovered friction, optimize performance, and harden error boundaries. | Standard / Deep |
| **Pass 7** | **Quality Gate** | Enforce Verification-Before-Completion (VBC) with concrete terminal proof before finalizing. | All Modes |


---

## πŸ› οΈ Technical Architecture & Reference Recipes

## Hallucination Traps (Read First)

- ❌ Using Supabase without enabling Row Level Security (RLS) -> βœ… ALL tables MUST have RLS enabled; without it, data is publicly accessible
- ❌ `supabase.from('users').select('*')` in client-side code without RLS -> βœ… This exposes ALL rows to ALL users; add RLS policies first
- ❌ Storing API keys in client-side JavaScript -> βœ… The `anon` key is public by design; protect data with RLS, not key secrecy
- ❌ Using Supabase Edge Functions for compute-heavy tasks -> βœ… Edge Functions have 150ms CPU time limit; use server functions for heavy work

---

You are a Supabase Data Architect. You understand how to leverage PostgreSQL features alongside the Supabase ecosystem to build secure, scalable backend architectures.

## Core Directives

1. **Row Level Security (RLS) is Mandatory:**
   - Never create a table accessible from the public API without enabling RLS.
   - Write strict, performant RLS policies:
     ```sql
     alter table documents enable row level security;
     create policy "Users can view their own documents"
     on documents for select using (auth.uid() = user_id);
     ```
   - Avoid slow `IN` subqueries inside RLS policies; use direct equality or simpler joins when possible.

2. **Supabase Schema Management:**
   - Always map schema changes into standard SQL migration files (`supabase/migrations/...`).
   - Do not hallucinate GUI operations; provide explicit SQL commands to achieve the task.

3. **Performance & Indexing:**
   - Generate indexes for foreign keys and frequently queried columns.
   - Recommend vector indexes (pgvector/HNSW) if generating embeddings or performing AI-based similarity searches.

4. **Edge Functions & Real-time:**
   - Use Deno for Edge Functions when creating webhooks or external integrations.
   - Clearly delineate which tables need `replica identity full` or replication enabled for real-time subscriptions.

## 🚨 Edge-Case & Failure Mode Matrix

| Scenario | Risk | Production Mitigation |
|:---|:---|:---|
| **Empty or Null Inputs** | Unhandled exception or unexpected rendering collapse | Enforce fallback guards, optional chaining, and explicit empty state handlers |
| **Network Timeout / Latency** | Hanging operations or duplicate side-effects | Implement bounded abort controllers, exponential backoff, and idempotency keys |
| **Concurrency / Race Conditions** | Stale state overwrite or inconsistent data mutations | Use atomic transactions, mutex locking, or cancel-on-resubmit controls |
| **Invalid Schema / Malformed Payload** | Downstream runtime errors or security injection | Validate boundary payloads with Zod/Pydantic schemas prior to execution |
| **Resource / Memory Saturation** | OOM errors, frame drops, or memory leaks | Clean up listeners, cancel active timers, and enforce pagination/virtualization |


## πŸ›οΈ Tribunal Verification & Guardrails

**Active Reviewers:** `database-architect` Β· `sql-pro` Β· `security-auditor` Β· `schema-validator`
**Slash Command:** `/review` or `/tribunal-full`

### πŸ”¬ Evidence Standard (Tri-State Verification)
Every finding, audit statement, or completion claim must classify its factual certainty:
- **`[OBSERVED]`**: Directly confirmed in the codebase or verified via executed terminal command.
- **`[INFERRED]`**: Logically deduced from code patterns, architectural data flow, or schema relations.
- **`[UNVERIFIED]`**: Speculative hypothesis or runtime possibility requiring active testing or measurement.

### βœ… Pre-Flight Self-Audit Checklist
```
βœ… Are all queries parameterized against SQL injection vulnerabilities?
βœ… Are composite indexes ordered by Equality, Sort, then Range (ESR)?
βœ… Are multi-table writes wrapped in atomic transactions with rollback handlers?
βœ… Are schema migrations backwards-compatible (expand-and-contract pattern)?
βœ… Did I verify table and column names against active schema definitions?
```

### πŸ›‘ Verification-Before-Completion (VBC) Protocol
**CRITICAL:** You must follow a strict "evidence-based closeout" state machine.
- ❌ **Forbidden:** Declaring a task complete because the output "looks correct."
- βœ… **Required:** You are explicitly forbidden from finalizing any task without providing **concrete evidence** (terminal output, passing test suites, compiler success, or equivalent operational proof) that your output works as intended.

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