QQ_BOT

QQ机器人(b站视频解析下载,猫娘聊天,JM下载,随机P站图片):: 该项目基于FunEnn前辈https://github.com/FunEnn/ncatbotPlugin 的开源项目改进而来

A new way for AI to search for data
View on GitHub
1GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 6cc9f935f3 (2026-10-23).

Selected work

dark-lyre
@dark-lyre

“新增多源图片溯源并优化匹配排序,调整猫娘联网问答与月度预算”. 25 files, 6,882 lines in tests, utils, plugins.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-24. 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

The prompt

Paste it into your AI agent. It clones dark-lyre/QQ_BOT at the pinned commit and indexes it on your machine.

Search the GitHub repository dark-lyre/QQ_BOT with XERJ (https://hub.xerj.org/corpus/dark-lyre--qq-bot).
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/dark-lyre/QQ_BOT QQ_BOT && git -C QQ_BOT checkout 6cc9f935f3847df52ac6e57edb2023d06b66408d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./QQ_BOT --url http://127.0.0.1:9200 --prefix qq-bot --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

Selected work and consent: the XERJ registry.