stack-guardian

One command tells you why your local AI stack is slow or broken: unloaded Ollama models, VRAM held by something else, offline or relayed…

A new way for AI to search for data
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What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 91361060c6.

Selected work

LuminariSoftwares
@LuminariSoftwares

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

deepseek-harnessdsh-plugingpuhealth-checkhomelabllmlocal-llmmcp

Example questions

The prompt

Paste it into your AI agent. It clones LuminariSoftwares/stack-guardian at the pinned commit and indexes it on your machine.

Search the GitHub repository LuminariSoftwares/stack-guardian with XERJ (https://hub.xerj.org/corpus/luminarisoftwares--stack-guardian).
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/LuminariSoftwares/stack-guardian stack-guardian && git -C stack-guardian checkout 91361060c6efa209816192cf0bcefdced5bb4e66
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./stack-guardian --url http://127.0.0.1:9200 --prefix stack-guardian --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

Selected work and consent: the XERJ registry.