jan-tdy /

EpaperDash-ADV

An Home Assistant integration that provides an dashbard image for old e-readers

A new way for AI to search for data

View on GitHub

1GitHub stars

3commits on main

0forks

v0.1.0latest release, 2026-10-08

Python 100% · created 2026-10-08 · last push 2026-10-08

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 39f171af05. It is the newest commit on main.

Selected work

Jan Dubovsky
@jan-tdy

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 2026-10-28. 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 jan-tdy/EpaperDash-ADV at the pinned commit and indexes it on your machine.

Search the GitHub repository jan-tdy/EpaperDash-ADV with XERJ (https://hub.xerj.org/corpus/jan-tdy--epaperdash-adv).
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/jan-tdy/EpaperDash-ADV EpaperDash-ADV && git -C EpaperDash-ADV checkout 39f171af05bf540a49701878e87ae1d7ade3b04f
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./EpaperDash-ADV --url http://127.0.0.1:9200 --prefix epaperdash-adv --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.

Jan Dubovsky API design and specification corpora

Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.