udachneg /
nut-us3000-synology
udachneg/nut-us3000-synology (Python)
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work
“make unknown DSM versions advisory in candidate 0024”. 11 files, 491 lines in tests, spk, release.
Licence
The repository
GPL-2.0
Checked by a person at the pinned commit.
The XERJ corpus
Approach only
The author agreed by email on 2026-10-23. 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
- Where does nut-us3000-synology handle “make unknown DSM versions advisory in candidate 0024”?
- What does spk do in nut-us3000-synology?
The prompt
Paste it into your AI agent. It clones udachneg/nut-us3000-synology at the pinned commit and indexes it on your machine.
Search the GitHub repository udachneg/nut-us3000-synology with XERJ (https://hub.xerj.org/corpus/udachneg--nut-us3000-synology). 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/udachneg/nut-us3000-synology nut-us3000-synology && git -C nut-us3000-synology checkout f8b74fbdc818f0e9835cc5ff564ce0e0e84e906d 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./nut-us3000-synology --url http://127.0.0.1:9200 --prefix nut-us3000-synology --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-2.0. Read it for the approach only, do not copy code.
Related
udachnegAPI design and specification corpora
Selected work and consent: the XERJ registry.