data-review

Audit ZINC Fusion V16 data health and generate a prioritized read-only report.

Updated Aug 27, 2026

Search Tags:#data-quality #data-freshness #data-audit #data-review #zinc-fusion #specialist-coverage

Ready to run

npx skills add https://github.com/zincdigitalofmiami/zinc-fusion-v16 --skill data-review

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-review
Source: https://github.com/zincdigitalofmiami/zinc-fusion-v16/tree/main/.kilo/skills/data-review
Command: npx skills add https://github.com/zincdigitalofmiami/zinc-fusion-v16 --skill data-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Audits data health across ZINC Fusion V16 to surface freshness, quality gaps, coverage shortfalls, and economic-fit signals without performing any destructive changes to data.

Core Features & Use Cases

End-to-end data-health auditing: pre-flight checks, staleness analysis, pipeline health, data quality, and specialist coverage evaluation.
Economic-fit and risk review: assess how macro and policy signals (tariffs, Fed policy, biofuel mandates) are represented in the dataset to keep models aligned with reality.
Compliance and governance: produces a structured report with prioritized risks and remediation recommendations without modifying source systems.

Quick Start

Run the data-review skill to generate the full health audit report for ZINC Fusion V16.

Frequently Asked Questions about data-review

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

FAQPage Schema

How do I run a read-only data quality audit for ZINC Fusion V16?▼

Run the data-review skill to execute pre-packaged SQL-read scripts against your Supabase project, generating a read-only audit report covering data freshness, pipeline health, and quality gaps without modifying production data.

What does an end-to-end data health audit cover for ZINC Fusion specialists?▼

A comprehensive data health audit evaluates staleness, pipeline health, data quality, and specialist coverage across all 11 specialists, while also assessing economic-fit signals like tariffs and Fed policy to keep models aligned with reality.

Do I need Supabase read-only access to audit data freshness and specialist coverage?▼

Yes, you need read-only access to the Supabase project and the SQL-read scripts packaged with the skill to scan the full data pipeline and all 11 specialists for coverage shortfalls and staleness.

Can I detect stale data and coverage gaps without modifying production data?▼

Yes, the data-review skill performs read-only audits to surface stale data, quality gaps, and coverage shortfalls, producing a structured report with prioritized risks and remediation recommendations while leaving source systems unchanged.

How do I check if macro and policy signals are represented in my ZINC Fusion dataset?▼

The data-review skill includes an economic-fit and risk review that assesses how macro signals like biofuel mandates, tariffs, and Fed policy are represented in your dataset to ensure your models remain aligned with reality.

What is the best way to generate a prioritized remediation report for data pipeline health?▼

Use the data-review skill to apply the audit to the full data pipeline and all 11 specialists, which generates a prioritized, read-only report covering freshness, data quality, and coverage with actionable recommendations.