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cabinet-data-integrity

Audit schemas and references across databases, filesystems, and API contracts.

Updated Aug 27, 2026
Search Tags:#audit#data-integrity#api-contract#cabinet#referential-integrity#schema-discovery#cross-store
One-click install
npx skills add https://github.com/orenmagid/claude-cabinet --skill cabinet-data-integrity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cabinet-data-integrity
Source: https://github.com/orenmagid/claude-cabinet/tree/main/templates/skills/cabinet-data-integrity
Command: npx skills add https://github.com/orenmagid/claude-cabinet --skill cabinet-data-integrity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Data coherence across multiple stores is critical for trustworthy analytics and reliable operations. This Skill automatically discovers schemas, validates referential integrity, checks cross-store consistency, and verifies API contracts, while spotting orphaned references, dual existence risks, and validation gaps. Activated during audits to ensure data coherence and improve confidence in system state.

Core Features & Use Cases

  • Automatic schema discovery across databases and files to surface structure and evolution.
  • Referential integrity checks, cross-store consistency validation, and API contract fidelity to guarantee coherence.
  • Detection of orphaned references, dual existence risks, and validation gaps across the data landscape.
  • Activated during audits to verify data stores are aligned and trustworthy.

Quick Start

Run a cabinet-data-integrity audit against your data stores to begin the verification.

Frequently Asked Questions about cabinet-data-integrity

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

FAQPage Schema
How do I check referential integrity across multiple data stores?▼

Perform cross-store consistency validation and referential integrity checks by running an audit against your databases, filesystems, and API contracts to detect orphaned references and validation gaps.

What is cross-store data consistency validation?▼

Cross-store data consistency validation is the process of auditing schemas and references across databases, filesystems, and API contracts to detect orphaned references, dual existence issues, and validation gaps to enforce coherence.

How do I detect orphaned references and dual existence issues in my databases?▼

Detect orphaned references and dual existence issues by applying schema discovery and cross-store comparisons during a data audit. This identifies validation gaps and verifies API contract fidelity across your data landscape.

How do I validate API contracts against actual database schemas?▼

Validate API contracts against database schemas by applying API contract validation during an audit. This verifies contract fidelity, checks cross-store consistency, and detects validation gaps between defined schemas and stored data.

Do I need any specific dependencies to perform cross-store data audits?▼

No specific dependencies are required to perform cross-store data audits. The process directly analyzes schema discovery, referential integrity checks, and API contract validation to enforce reliable data narratives without external modules.

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