Score extraction quality and generate improvement deltas from crawl results.
npx skills add https://github.com/jadecli/researchers --skill extract-review
Please help me install this Agent Skill. Skill: extract-review Source: https://github.com/jadecli/researchers/tree/main/claude-code/.claude/skills/extract-review Command: npx skills add https://github.com/jadecli/researchers --skill extract-review
Review extracted data quality after crawling to ensure completeness and consistency, reducing manual QA time.
Run the extract-review skill to score the latest crawl extractions and generate a delta in improvements/.
High-intent search queries and answers about installing and using this skill.
To validate data extraction quality after a web crawl, you must review field completeness, structure, and link integrity. Automating this extraction quality review scores the latest crawl results and identifies formatting inconsistencies across pages to reduce manual QA time.
Measuring extraction improvements across iterative crawling workflows involves comparing current crawl metrics against previous iterations. This generates a cross-iteration improvement delta to quantify enhancements in completeness and structure.
During an extraction quality review, specific data fields checked include titles, content, and metadata. The process also assesses formatting consistency, validates code blocks, links, and tables across extracted pages.
Yes, you can automate data completeness checks for iterative crawling workflows without manual QA. Automated extraction quality reviews identify and quantify data structure issues and link integrity directly from the latest crawl results.
You should use an automated extraction review over manual data validation when you need to verify fields, formatting, and cross-iteration improvement deltas across multiple pages, significantly reducing manual QA time for iterative crawling.
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