pdf_office_toolkit

离线、免安装、开源的 Windows PDF 批量处理工具:合并、拆分、水印、盖章、骑缝章、加密解密、压缩、转图片,全部在本机完成,文件不出电脑。

A new way for AI to search for data
View on GitHub
2GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 9451f9cea5 (2026-10-22).

Selected work

moduwusuowei
@moduwusuowei

“add new feature”. 36 files, 1,087 lines in src/pdf_gui, tests, the project root.

Licence

The repository

Apache-2.0

Checked by a person at the pinned commit.

The XERJ corpus

Apache-2.0, with credit

The author agreed by email on 2026-10-22. 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 moduwusuowei/pdf_office_toolkit at the pinned commit and indexes it on your machine.

Search the GitHub repository moduwusuowei/pdf_office_toolkit with XERJ (https://hub.xerj.org/corpus/moduwusuowei--pdf-office-toolkit).
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/moduwusuowei/pdf_office_toolkit pdf_office_toolkit && git -C pdf_office_toolkit checkout 9451f9cea5397a5342da27ea430a62f640db55ba
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./pdf_office_toolkit --url http://127.0.0.1:9200 --prefix pdf-office-toolkit --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.