Data Quality Checker
tradermonty/claude-trading-skillsBefore you publish a market analysis report, a data quality checker can catch mistakes. It looks for common errors like price scale mix-ups, wrong instrument names, and date mismatches. The tool supports both English and Japanese documents.
All findings are advisory warnings for a human reviewer. They do not block publication. This helps you fix problems before your audience sees them.
Five categories are checked: price scale consistency, instrument notation, date and weekday accuracy, allocation totals, and unit usage. The tool uses only standard Python libraries and needs no external keys.
Add Data Quality Checker skill to your workflow
Global
mkdir -p ~/.claude/skills/data-quality-checkerProject
mkdir -p .claude/skills/data-quality-checkerSource Repository
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