geng-academic-fraud-detector
CommunityDetect academic fraud in PDFs quickly.
Education & Research#pdf#reporting#academic integrity#image manipulation#research ethics#fraud detection#data fabrication
Authorwooly99
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps researchers, reviewers, and editors quickly identify potential data fabrication and image manipulation in scientific papers by analyzing the PDF content with a structured, multi-dimensional approach.
Core Features & Use Cases
- Detect data fabrication, image reuse, and image splicing across figures and supplementary materials.
- Assess statistical anomalies and unusual reporting patterns using predefined evaluation checks.
- Generate a structured report that highlights evidence, severity levels, and recommended follow-ups for each finding.
- Use cases include pre-publication screening, post-publication review, and audit-style investigations of exposed papers.
Quick Start
Feed the PDF path to the Read tool to begin the six-style analysis.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: geng-academic-fraud-detector Download link: https://github.com/wooly99/geng-academic-fraud-detector/archive/main.zip#geng-academic-fraud-detector Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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