Challenge-Test
gonzalolater/Challenge-Test (TypeScript)
A new way for AI to search for data
2GitHub stars
4commits on main
0forks
What XERJ indexed
Snapshot
83 files · 793.3 KB
The whole repository at commit d64d312b71. It is the newest commit on main.
Selected work
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 gonzalolater/Challenge-Test at the pinned commit and indexes it on your machine.
Search the GitHub repository gonzalolater/Challenge-Test with XERJ (https://hub.xerj.org/corpus/gonzalolater--challenge-test). 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/gonzalolater/Challenge-Test Challenge-Test && git -C Challenge-Test checkout d64d312b7113bc8c47c97c7840e7c8ea48cc9a21 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Challenge-Test --url http://127.0.0.1:9200 --prefix challenge-test --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
Gonzalo Daniel AguilarAPI design and specification corpora
Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.