DOCTOR-M-3
新一代《神秘博士》模组,适用于最新版本的我的世界,目前为26.3-fabric
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“麻烦DSH帮我把整个项目框架进行优化”. 46 files, 2,498 lines in src/main, src/client, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- Where does DOCTOR-M-3 handle “麻烦DSH帮我把整个项目框架进行优化”?
- What does src/main do in DOCTOR-M-3?
The prompt
Paste it into your AI agent. It clones smallmoss233/DOCTOR-M-3 at the pinned commit and indexes it on your machine.
Search the GitHub repository smallmoss233/DOCTOR-M-3 with XERJ (https://hub.xerj.org/corpus/smallmoss233--doctor-m-3). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/smallmoss233/DOCTOR-M-3 DOCTOR-M-3 && git -C DOCTOR-M-3 checkout ea1baf51bac99448216690b3d25ab0e9c19c3225 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./DOCTOR-M-3 --url http://127.0.0.1:9200 --prefix doctor-m-3 --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Small MossAPI design and specification corpora
Selected work and consent: the XERJ registry.