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database-audit

Audit database schemas, migrations, and data integrity with structured checklists.

5|1|Updated Feb 7, 2026
Search Tags:#indexing#database#migrations#schema#audit#constraints#data-integrity
One-click install
npx skills add https://github.com/boparaiamrit/skills-by-amrit --skill database-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: database-audit
Source: https://github.com/boparaiamrit/skills-by-amrit/tree/main/skills/database-audit
Command: npx skills add https://github.com/boparaiamrit/skills-by-amrit --skill database-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auditing database schemas, migrations, and data integrity helps prevent schema drift, enforce business rules at the database level, and improve overall data reliability.

Core Features & Use Cases

  • Schema analysis and design validation
  • Migration review, rollback readiness, and change governance
  • Data integrity checks and constraint enforcement
  • Indexing and performance recommendations
  • Consistency checks between code and database schema

Quick Start

Begin by running a schema audit across your migrations to identify nullable columns, missing indexes, and orphaned records.

Frequently Asked Questions about database-audit

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

FAQPage Schema
How do I audit database schemas to enforce constraints and prevent schema drift?▼

To audit database schemas, you analyze migrations to identify nullable columns, missing indexes, and orphaned records. This enforces business rules at the database level, validates schema design, and improves overall data reliability by preventing schema drift.

How do I validate database migration rollback readiness and change governance?▼

Validating database migration rollback readiness requires structured analysis of migration scripts to enforce rollback requirements and change governance. This ensures safe schema transitions, validates constraints, and maintains data consistency during relational database updates.

What is the best way to check data integrity and consistency between code and database schema?▼

The best way to check data integrity and consistency is running structured consistency checks between your code and database schema. This identifies orphaned records, enforces constraints, and ensures alignment between application logic and relational database structures.

When do I need a database schema audit for indexing and performance investigations?▼

You need a database schema audit when experiencing slow queries or preparing schema changes, as it provides indexing and performance recommendations. Analyzing schemas identifies missing indexes and nullable columns, directly improving relational database query performance.

Does this database migration audit apply to all relational databases?▼

Yes, this database migration audit applies to schema design reviews, migration validation, and data consistency checks across relational databases. It enforces constraints, indexing, and rollback requirements universally within relational database environments.

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