ntgcorp /
ntJobsApp
NTG Batch Command Line App format executed with.ini script language
A new way for AI to search for data
1GitHub stars
6commits on main
0forks
What XERJ indexed
Selected work

Licence
The repository
Apache-2.0
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
Apache-2.0, with credit
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. 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 ntgcorp/ntJobsApp at the pinned commit and indexes it on your machine.
Search the GitHub repository ntgcorp/ntJobsApp with XERJ (https://hub.xerj.org/corpus/ntgcorp--ntjobsapp). 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/ntgcorp/ntJobsApp ntJobsApp && git -C ntJobsApp checkout b114f604e73cde50e6448f30f8ec6e8402df7d26 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ntJobsApp --url http://127.0.0.1:9200 --prefix ntjobsapp --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: Apache-2.0. Keep the copyright notice and credit the authors.
Related
ntgcorpAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.