greenray-aio
Hands-on lab simulator and mock exam for the NVIDIA NCP-AIO certification. Simulated DGX H100 cluster, Slurm, Kubernetes, BCM. No GPU…
What XERJ indexed
Selected work
“Split the container tools and cmsh into packages and share one comman…”. 25 files, 6,274 lines in src/greenray, the project root, tests.
Licence
The repository
Checked by a person at the pinned commit.
The XERJ corpus
The author agreed by email on 2026-10-23. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
certificationdgxexam-prepgpukubernetesncp-aionvidiapython
Example questions
- How does greenray-aio implement certification?
- What does src/greenray do in greenray-aio?
- Show the dgx code in greenray-aio.
The prompt
Paste it into your AI agent. It clones RehmanaYounis/greenray-aio at the pinned commit and indexes it on your machine.
Search the GitHub repository RehmanaYounis/greenray-aio with XERJ (https://hub.xerj.org/corpus/rehmanayounis--greenray-aio). 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/RehmanaYounis/greenray-aio greenray-aio && git -C greenray-aio checkout b5dd3d381d3a09e3ac3e3358edcb73fd15891554 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./greenray-aio --url http://127.0.0.1:9200 --prefix greenray-aio --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
RehmanaOperations and SRE corporabandit-pluginskube-hunterhaystackaai-labs/agent-barnmorgenruf/morgenrufdcotecnologia/kubescope
Selected work and consent: the XERJ registry.