review-report

Review generated reports and blogs against source and reference papers.

Updated Jan 24, 2026
One-click install
npx skills add https://github.com/shibuiwilliam/paper2detail --skill review-report-shibuiwilliam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-report
Source: https://github.com/shibuiwilliam/paper2detail/tree/main/.claude/skills/review-report
Command: npx skills add https://github.com/shibuiwilliam/paper2detail --skill review-report-shibuiwilliam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the critical need to ensure the accuracy, completeness, and quality of AI-generated reports and blogs by rigorously comparing them against source and reference materials.

Core Features & Use Cases

  • Comprehensive Verification: Evaluates factual accuracy, content completeness, interpretative validity, and reference correctness.
  • Quality Assessment: Judges structure, readability, depth, and writing style.
  • Use Case: After an AI generates a detailed analysis of a research paper, use this Skill to review the report for any factual errors, omissions, or misinterpretations before sharing it.

Quick Start

Review the generated report for arXiv ID 2401.12345.

Frequently Asked Questions about review-report

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

FAQPage Schema
How do I verify the accuracy of an AI-generated report against source papers?

To verify report accuracy, you can review the generated document by reading source and reference papers to evaluate factual correctness, content completeness, and interpretation validity. This process checks for misinterpretations and omissions before sharing.

What is content validation for research paper analysis?

Content validation for research paper analysis is the process of evaluating a generated report's factual accuracy, reference correctness, and interpretative validity by rigorously comparing it against source and reference materials.

How do I check the quality and readability of a generated blog post?

To check the quality and readability of a generated blog post, assess its structure, writing style, and depth. This quality assessment ensures the content meets standards after verifying its factual accuracy against source materials.

Can I assess reference accuracy in a generated report without manual checking?

Yes, you can assess reference accuracy by using an automated review process that reads the source and reference papers to evaluate the correctness of citations and factual claims within the generated report.

What is the best way to perform a quality assessment of AI-generated content?

The best way to perform a quality assessment of AI-generated content is to evaluate factual accuracy, content completeness, interpretation validity, reference accuracy, structure, readability, depth, and writing style against original source materials.

Does report verification check for content completeness and interpretation validity?

Yes, report verification performs detailed checks on content completeness and interpretation validity. It rigorously compares the generated report against source papers to identify any factual errors, omissions, or misinterpretations.