REPOGEO 报告 · LITE
llSourcell/Doctor-Dignity
默认分支 main · commit 3f2ffb6c · 扫描时间 2026/5/11 16:52:48
星标 3,836 · Fork 415
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 llSourcell/Doctor-Dignity 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- hightopics#1Add relevant topics to the repository
原因:
复制粘贴的修复medical-llm, usmle, offline-ai, patient-privacy, cross-platform, llama2, healthcare-ai, medical-assistant, open-source-ai
- highreadme#2Reposition the README's opening to clearly state the project's core function
原因:
当前# Doctor Dignity <p align="center"> DISCLAIMER - Do not take any advice from Doctor Dignity seriously yet. This is a work in progress and taking any advice seriously could result in serious injury or even death. </p> ## Overview Doctor Dignity is a Large Language Model that can pass the US Medical Licensing Exam.
复制粘贴的修复# Doctor Dignity An open-source, offline, and private LLM designed to pass the US Medical Licensing Exam. <p align="center"> DISCLAIMER - Do not take any advice from Doctor Dignity seriously yet. This is a work in progress and taking any advice seriously could result in serious injury or even death. </p> ## Overview Doctor Dignity is a Large Language Model that can pass the US Medical Licensing Exam.
- mediumhomepage#3Add a homepage URL to the repository metadata
原因:
复制粘贴的修复https://github.com/llSourcell/Doctor-Dignity
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- Med-PaLM 2 · 被推荐 1 次
- Google Cloud Healthcare API · 被推荐 1 次
- BioGPT · 被推荐 1 次
- ClinicalBERT · 被推荐 1 次
- GatorTron · 被推荐 1 次
- 品类问题What are open-source medical LLMs for local deployment ensuring patient data privacy?你:未被推荐AI 推荐顺序:
- Med-PaLM 2
- Google Cloud Healthcare API
- BioGPT
- ClinicalBERT
- GatorTron
- PubMedGPT
AI 推荐了 6 个替代方案,却始终没点名 llSourcell/Doctor-Dignity。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Seeking a cross-platform AI medical assistant for offline use on mobile devices.你:未被推荐AI 推荐顺序:
- Flutter (flutter/flutter)
- TensorFlow Lite (tensorflow/tensorflow)
- React Native (facebook/react-native)
- ONNX Runtime Mobile (microsoft/onnxruntime)
- ONNX (onnx/onnx)
- Xamarin (xamarin/xamarin-forms)
- ML.NET (dotnet/machinelearning)
- Swift (apple/swift)
- Kotlin (JetBrains/kotlin)
- Core ML
- ML Kit
- Ionic (ionic-team/ionic-framework)
- TensorFlow.js (tensorflow/tfjs)
AI 推荐了 13 个替代方案,却始终没点名 llSourcell/Doctor-Dignity。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenesswarn
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of llSourcell/Doctor-Dignity?passAI 明确点名了 llSourcell/Doctor-Dignity
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts llSourcell/Doctor-Dignity in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 llSourcell/Doctor-Dignity
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo llSourcell/Doctor-Dignity solve, and who is the primary audience?passAI 明确点名了 llSourcell/Doctor-Dignity
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 llSourcell/Doctor-Dignity 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/llSourcell/Doctor-Dignity)<a href="https://repogeo.com/zh/r/llSourcell/Doctor-Dignity"><img src="https://repogeo.com/badge/llSourcell/Doctor-Dignity.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
llSourcell/Doctor-Dignity — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3