protofablab

Resources and contributions to the Prototyping and Fabrication UniFR master course

A new way for AI to search for data
View on GitHub
9GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 1173415dc3 (2026-10-12).

Selected work

nembrinj
@nembrinj

“an 05 files”. 10 files, 436 lines in 2026.

Licence

The repository

GPL-3.0

Checked by a person at the pinned commit.

The XERJ corpus

Approach only

The author agreed by email on 2026-10-22. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: approach only

Example questions

The prompt

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

Search the GitHub repository nembrinj/protofablab with XERJ (https://hub.xerj.org/corpus/nembrinj--protofablab).
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/nembrinj/protofablab protofablab && git -C protofablab checkout 1173415dc346efe654262e32d8fa28466b6c3b7f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./protofablab --url http://127.0.0.1:9200 --prefix protofablab --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: GPL-3.0. Read it for the approach only, do not copy code.

Related

Selected work and consent: the XERJ registry.