ml-database-audit
CommunityAudit ML DB contracts for ZINC Fusion V16.
Authorzincdigitalofmiami
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Structured audit and design workflow for the ML-facing database surface of ZINC Fusion V16, ensuring schemas, contract boundaries, and persistence rules align with migration plans and phase gates, while preventing unintended data promotions or model training.
Core Features & Use Cases
- Pre-flight and schema-intent validation: verify scope, writers/readers, and boundary conditions across training, forecasts, and analytics schemas.
- Table-contract and persistence checks: enforce explicit writers/readers, retention, and guardrails against duplicate truth or illicit data promotion.
- Audit-driven governance: supports an approval-gate process and re-audit loops to confirm fixes before deployment.
Quick Start
Begin the pre-flight audit to validate scope, schemas, and governance for the ML database surface.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ml-database-audit Download link: https://github.com/zincdigitalofmiami/zinc-fusion-v16/archive/main.zip#ml-database-audit Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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