gengscan 是做什麼的？
AI辅助筛查学术论文的数据完整性指纹 · 学术论文数据完整性筛查流水线(耿同学)
- 来源：https://github.com/xntj-ai/gengscan
- GitHub 星标数：1
- 最后推送时间：2026-06-16T10:15:31Z
- 由 Awesome Skills 每日技能猎手于 2026-06-16 添加。
AI辅助筛查学术论文的数据完整性指纹 · 学术论文数据完整性筛查流水线(耿同学)
xntj-ai/gengscan 是一个专为学术论文数据完整性筛查设计的 AI 辅助工具，能够自动检测论文中的图像复用、数据篡改等数据完整性指纹。该技能基于 gengscan 项目，集成了图像分析、元数据比对和模式识别等能力，帮助审稿人、编辑和科研人员快速发现潜在的数据异常。支持多种论文格式（PDF、图像等），适用于学术出版领域的数据完整性审核流程。通过自动化筛查，可显著提升审稿效率，降低人工审核的遗漏风险。该技能目前托管于 GitHub 社区，配合 AI 代理（如 Claude Code、Cursor）使用，可无缝集成到科研工作流中。
npx skills add xntj-ai/gengscanInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
AI辅助筛查学术论文的数据完整性指纹 · 学术论文数据完整性筛查流水线(耿同学)
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.