Mustaff

A Python project that automatically generates rhythm game charts by analyzing the horizontal (time/beats) and vertical…

A new way for AI to search for data

View on GitHub

5GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit a3886907a5 (2026-09-26).

Selected work

Chidc
@ChidcGithub

“v1.0.2: beat-grid v3 ML models, 82ch music-structure features, univer…”. 18 files, 1,790 lines in training, mustaff, 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

What does training do in Mustaff?

The prompt

Paste it into your AI agent. It clones ChidcGithub/Mustaff at the pinned commit and indexes it on your machine.

Search the GitHub repository ChidcGithub/Mustaff with XERJ (https://hub.xerj.org/corpus/chidcgithub--mustaff).
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/ChidcGithub/Mustaff Mustaff && git -C Mustaff checkout a3886907a5b016d5b6dbd021137f2adaebd4a3a6
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Mustaff --url http://127.0.0.1:9200 --prefix mustaff --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.

Chidc API design and specification corpora

Selected work and consent: the XERJ registry.