data-quality-checker

SKILL.md

Overview

Detect common data quality issues in market analysis documents before
publication. The checker validates five categories: price scale consistency,
instrument notation, date/weekday accuracy, allocation totals, and unit usage.
All findings are advisory -- they flag potential issues for human review rather
than blocking publication.

When to Use

Before publishing a weekly strategy blog or market analysis report

After generating automated market summaries

When reviewing translated documents (English/Japanese) for data accuracy

When combining data from multiple sources (FRED, FMP, FINVIZ) into one report

As a pre-flight check for any document containing financial data

Prerequisites