Can I use this for complex query reviews?

Yes, while it runs automatically for routine tasks, you can explicitly invoke it for deep-dive reviews of complex queries or when debugging mysterious data issues.

How does it improve database security?

It reviews query patterns against Row-Level Security (RLS) policies and column-level security to ensure your data access logic remains secure.

Do I need to manually invoke this skill?

No, the skill is auto-injected via a PreToolUse hook, meaning it automatically monitors and surfaces potential issues every time you write Supabase or PostgREST code.

What is the Database Query Safety skill?

It is a specialized capability for Claude Code designed to identify and prevent eight specific 'gotchas' that cause silent failures in Supabase and PostgREST implementations.

What technologies does it support?

It is specifically optimized for Supabase and PostgREST, focusing on the unique behaviors and edge cases of these database layers.

Database Query Safety

Name: Database Query Safety
Author: Undercurrent-Studio

byUndercurrent-Studio

0•

Gestión de Bases de Datos

Prevents silent failures and data loss in Supabase and PostgREST queries by identifying eight critical implementation pitfalls.

The Database Query Safety skill provides a protective layer for developers working with Supabase and PostgREST by surfacing common implementation 'gotchas' that lead to silent failures. It integrates directly into the Claude Code workflow via the PreToolUse hook, automatically checking code for pattern errors before they are executed. By offering detailed reference guides and real-world incident history, it helps engineers navigate the nuances of PostgREST patterns, Row-Level Security (RLS), and complex data integrity requirements, making it essential for building robust, production-grade database interactions.

Características Principales

01Automatic detection of 8 common Supabase and PostgREST silent failure patterns

02Real-time PreToolUse prompt hooks for immediate feedback during development

03Deep-dive review capabilities for complex database query structures

04Pre-validated safe query patterns for common database operations

05Comprehensive reference documentation with real incident history

060 GitHub stars

Casos de Uso

01Auditing complex database queries for Row-Level Security (RLS) compliance

02Debugging silent data loss or unexpected null results in Supabase applications

03Onboarding developers to PostgREST-specific query patterns and best practices

Características Principales

01Automatic detection of 8 common Supabase and PostgREST silent failure patterns

02Real-time PreToolUse prompt hooks for immediate feedback during development

03Deep-dive review capabilities for complex database query structures

04Pre-validated safe query patterns for common database operations

05Comprehensive reference documentation with real incident history

060 GitHub stars

Casos de Uso

01Auditing complex database queries for Row-Level Security (RLS) compliance

02Debugging silent data loss or unexpected null results in Supabase applications

03Onboarding developers to PostgREST-specific query patterns and best practices