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data-integrity-audit

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Audit data integrity across pipelines.

Data & Analytics#dbt#data-integrity#postgres#data-quality#lineage#schema-validation
Authorl3ocho
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Data teams need a precise, codified standard for what constitutes valid data. This skill defines the criteria for data integrity across schemas, lineage, and dbt health, and provides guidelines to enforce these standards during sprint execution and audits.

Core Features & Use Cases

  • Schema validity checks (tables exist, correct types, constraints present).
  • dbt project health and tests readiness (parsing, compilation, tests).
  • Lineage integrity and data-traceability checks (no orphaned models, upstream sources exist).
  • Data type consistency and query-safety considerations (dtype alignment, safe queries).
  • PostGIS considerations for spatial datasets (where applicable) and SRID checks.

Quick Start

Start a data integrity audit by running it against your data-platform workspace to validate schemas, models, and lineage during sprint cycles.

Dependency Matrix

Required Modules

None required

Components

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: data-integrity-audit
Download link: https://github.com/l3ocho/mktpl-claude-datasaas/archive/main.zip#data-integrity-audit

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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