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Install Holoscan SDK natively on Ubuntu via apt.
Passed 20 of 21 test cases with the skill, and 11 of 21 without it.
and 9 more in the full report
10 fixed11 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
The video_replayer C++ check complains that the dataset directory at /opt/nvidia/holoscan/data/racerx is missing. What bundled utility script should I execute to populate the example dataset?
| Checked | Without skill | With skill |
|---|---|---|
| Directs executing /opt/nvidia/holoscan/examples/download_example_data to download example datasets. | Missed | Passed |
The instructions your model reads when the skill loads.
Install the Holoscan SDK C++ runtime + headers on Ubuntu using NVIDIA's apt repo, selecting the right holoscan-cuda-* package for the host's CUDA driver and verifying with the bundled C++ examples.
nvidia-smi).sudo and network access to developer.download.nvidia.com and docs.nvidia.com.cuda-keyring package (Step 2 installs it if missing)./holoscan-install-wheel if the user needs Python.holoscan-cuda-12 vs holoscan-cuda-13); wrong variant → "CUDA driver version is insufficient".Fetch the Debian/apt section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html before installing. Extract:
holoscan-cuda-12, holoscan-cuda-13, holoscan)If the doc disagrees with anything below, the doc wins.
Determine OS version and CUDA variant if not already known — run in parallel:
lsb_release -a 2>/dev/null || cat /etc/os-release
nvidia-smi 2>&1 | head -5
CUDA variant rule — pick the apt package:
| nvidia-smi CUDA Version | Package |
|---|---|
| 13.x+ | holoscan-cuda-13 |
test cases passed, vs 11 / 21 without
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