Validate data quality in market analysis documents and blog articles before publication. Use when checking for price scale inconsistencies (ETF vs futures), instrument notation errors, date/day-of-week mismatches, allocation total errors, and unit mismatches. Supports English and Japanese content. Advisory mode -- flags issues as warnings for human review, not as blockers.
How to install data-quality-checker?
baggat236/ai-trading-skills/data-quality-checker
$npx -y skills add baggat236/ai-trading-skills --skill data-quality-checkerInstalls into the current project.
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Run `npx skills use "https://github.com/baggat236/ai-trading-skills" --skill "baggat236/ai-trading-skills/data-quality-checker"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/baggat236/ai-trading-skills" that are relevant to the current task. Run `npx skills add "https://github.com/baggat236/ai-trading-skills"` and select the relevant skills, then follow their instructions.
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