nfind
Find files by describing them in natural language, auto-generate an equivalent script, and run it in sandboxed containers
What XERJ indexed
Selected work

Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-11. 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
dockerfilesfindllmnatural-languagesandboxsearchnerdctl
Example questions
- How does nfind implement docker?
- Show the files code in nfind.
The prompt
Paste it into your AI agent. It clones deeplook/nfind at the pinned commit and indexes it on your machine.
Search the GitHub repository deeplook/nfind with XERJ (https://hub.xerj.org/corpus/deeplook--nfind). 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/deeplook/nfind nfind && git -C nfind checkout 775bcc7f4930592e2d96577eebcf546519f08202 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./nfind --url http://127.0.0.1:9200 --prefix nfind --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
Dinu GhermanSecurity and vulnerabilities corporaopenlegaldata-oldpdaggerretext-passivedevcell-sh/devcellgoogle/gvisorandreimerlescu/roc
Selected work and consent: the XERJ registry.