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Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.
Passed 15 of 19 test cases with the skill, and 3 of 19 without it.
and 12 more in the full report
13 fixed4 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
The user needs to modify internal SDK components and selected the source build method. Which skill should be invoked to guide through cloning and CMake compilation?
| Checked | Without skill | With skill |
|---|---|---|
| Invokes /holoscan-install-source to handle source compilation. | Missed | Passed |
The instructions your model reads when the skill loads.
Determines the correct Holoscan SDK installation method for the current host by inspecting hardware, OS, CUDA driver, and existing tooling, then delegates to a method-specific install skill. Covers NGC container, Debian/apt, pip wheel, Conda, and source builds across Ubuntu, RHEL, IGX Orin, Jetson, and DGX Spark / Grace-Hopper platforms.
nvidia-smi returns a CUDA Version)docs.nvidia.com and NGCapt, Python 3.10–3.13 with pip, Conda, or a build toolchain — depending on chosen method| Script | Purpose | Arguments |
|---|---|---|
scripts/check_conda.sh | Detects Conda installs even when not on PATH (searches ~/miniconda3, ~/miniforge3, ~/anaconda3, ~/mambaforge, /opt/conda, and shell rc files); reports envs and which have holoscan importable. | none |
scripts/check_ngc_image.sh | Checks whether the NGC Holoscan container image for a given CUDA tag suffix is pulled or available. | <cuda-tag-suffix> — one of cuda13, cuda12-dgpu, cuda12-igpu |
Invoke scripts with run_script("scripts/check_conda.sh") and run_script("scripts/check_ngc_image.sh", "cuda13"). Trust the script output over bare commands such as which conda or docker images.
Be conversational and step-by-step — do not front-load all the information. Complete each step and report back before moving on.
**Recommendation:** NGC Container — bundles all deps, fastest path to a working install.).docker pull, docker run, apt install, pip install, or other install commands in that turn — those belong to the delegated install skill in Step 6.nvidia-smi or docker --version for you.Fetch https://docs.nvidia.com/holoscan/sdk-user-guide/ then sdk_installation.html to get the current release's supported platforms, package names, and install requirements. Do not rely on hardcoded assumptions.
Run in parallel:
test cases passed, vs 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.