curseforgepy
Curseforge is an open source library created to use the API!
A new way for AI to search for data
8GitHub stars
What XERJ indexed
Selected work

Licence
The repository
MIT
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
MIT, with credit
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-31. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
The prompt
Paste it into your AI agent. It clones Cavanshirpro/curseforgepy at the pinned commit and indexes it on your machine.
Search the GitHub repository Cavanshirpro/curseforgepy with XERJ (https://hub.xerj.org/corpus/cavanshirpro--curseforgepy). 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/Cavanshirpro/curseforgepy curseforgepy && git -C curseforgepy checkout fc8a12a7ed5392a3609aa32370b13839c797d27f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./curseforgepy --url http://127.0.0.1:9200 --prefix curseforgepy --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
JavanshirAPI design and specification corpora
Selected work and consent: the XERJ registry.