jpboliv /
eridian
Rocky-speak for Claude Code: terse Eridian token compression, stats, and a statusline buddy
A new way for AI to search for data
20GitHub stars
What XERJ indexed
Selected work

“preserve prose snapshots and animate buddy renders”. 7 files, 217 lines in test, scripts.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-22. 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
- Where does eridian handle “preserve prose snapshots and animate buddy renders”?
The prompt
Paste it into your AI agent. It clones jpboliv/eridian at the pinned commit and indexes it on your machine.
Search the GitHub repository jpboliv/eridian with XERJ (https://hub.xerj.org/corpus/jpboliv--eridian). 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/jpboliv/eridian eridian && git -C eridian checkout c5dd60d8350fa4ea2503001e22b1894f20826d7a 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./eridian --url http://127.0.0.1:9200 --prefix eridian --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
João OliveiraAI, prompts and agents corpora
Selected work and consent: the XERJ registry.