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skill-1c-concern-extraction-qc

Cross-verify concern sheet YAML against review and paper PDFs.

1|Updated Apr 9, 2026
Search Tags:#verification#quality-check#hallucination-detection#concern-sheet#review-pdf#paper-pdf
One-click install
npx skills add https://github.com/jinming99/reviewer-under-review --skill skill-1c-concern-extraction-qc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-1c-concern-extraction-qc
Source: https://github.com/jinming99/reviewer-under-review/tree/main/.claude/skills/skill-1c-concern-extraction-qc
Command: npx skills add https://github.com/jinming99/reviewer-under-review --skill skill-1c-concern-extraction-qc

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides an independent quality check on concern extraction outputs by cross-verifying concern sheets with review PDFs and paper PDFs, helping to catch hallucinations and ambiguities before publication or integration.

Core Features & Use Cases

  • Independent verification: cross-check concern sheets against source documents (review PDF + paper PDF) to ensure alignment.
  • Ambiguity flagging: identify inconsistencies in resolutions, addressed status, and reviewer notes for human review.
  • Audit-ready outputs: produce structured QC verdicts and flags to guide remediation in the extraction workflow.

Quick Start

Provide a concern sheet YAML along with the review PDF and the paper PDF to run an independent quality check.

Frequently Asked Questions about skill-1c-concern-extraction-qc

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

FAQPage Schema
How do I verify concern extraction outputs against source PDFs?▼

To verify concern extraction outputs against source PDFs, provide a concern sheet YAML alongside the review PDF and paper PDF to run an independent quality check that flags ambiguities.

What is independent quality check for concern extraction?▼

Independent quality check for concern extraction is a verification process that cross-references concern sheets with review and paper PDFs to catch hallucinations and ensure alignment before publication.

How do I detect hallucinations in automated concern extraction sheets?▼

Hallucination detection in concern extraction sheets works by cross-verifying extracted concerns against original review PDF and paper PDF documents, flagging misaligned resolutions for human review.

Can I audit addressed status and reviewer notes in a concern sheet?▼

Yes, you can audit addressed status and reviewer notes in a concern sheet by running structural checks that identify inconsistencies and flag ambiguous resolutions for human review.

What are the limitations of automated concern sheet verification?▼

Automated concern sheet verification flags ambiguous or misaligned resolutions for human review rather than resolving them, meaning QA teams must manually inspect flagged items to complete the audit.

Does concern extraction QC work without dependencies?▼

Yes, concern extraction QC works without dependencies, requiring only the concern sheet YAML, review PDF, and paper PDF as inputs to produce structured QC verdicts and flags.

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