What problem does it solve?
Manually screening academic papers for data fraud, image manipulation, methodological flaws, improper citations, and predatory journal issues is extremely time-consuming and requires specialized domain expertise. This Skill automates the entire screening process to quickly flag potential integrity risks.
Core Features & Use Cases
- 5-Dimensional Integrity Scan: Systematically checks data/result authenticity, image/chart integrity, methodological rigor, citation structure, and author/journal credibility.
- Structured Risk Rating: Classifies papers into low, medium, high, or extreme fraud risk levels with clear evidence and severity markers for each suspicious finding.
- Use Case: Researchers can use it for pre-submission self-review, peer reviewers can use it for initial screening assistance, and academic institutions can use it to triage reported misconduct cases.
Quick Start
Use the academic-integrity-geng skill to analyze the attached academic paper for potential integrity issues and generate a detailed fraud risk report saved to your working directory.