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Holoscan SDK — Build from Source · nvidia | DecimalAI

devopsby nvidia

Holoscan SDK — Build from Source

nvidia/holoscan-install-source

Source nvidia/skills ↗License Apache-2.0

Build Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.

SkillScore100Maintained

Automatic

DevOps & SRE pack

Last verified 8/12/2026

What it changes

Passed 22 of 22 test cases with the skill, and 9 of 22 without it.

Without skill41%

With skill100%

Checks it passed that the model alone missed

Instructs building with ./run build
Recommends running ./run clear_cache
Directs passing --verbose to ./run test

and 17 more in the full report

13 fixed9 passed either way0 still failing0 broke

Pass-rate lift: +59 pp
Tokens: +44%
Agent turns: 0%
Response time: -63%

Model gemini-3.6-flashMeasured 8/12/2026v122 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/nvidia-holoscan-install-source/SKILL.md https://app.decimal.ai/s/nvidia-holoscan-install-source/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add nvidia-holoscan-install-source, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/nvidia-holoscan-install-source/ and pins it in .decimal/skills.lock

decimalai skills add nvidia-holoscan-install-source

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/nvidia-holoscan-install-source/SKILL.md https://app.decimal.ai/s/nvidia-holoscan-install-source/SKILL.md

Raw file: /s/nvidia-holoscan-install-source/SKILL.md ↗ · machine-readable summary at /s/nvidia-holoscan-install-source.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

Which helper script invocation reports the path of the intermediate compilation folder generated by the Holoscan SDK build process?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends executing ./run get_build_dir	Missed	Passed

case-12 · gemini-3.6-flash · 8/12/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md141 linessingle file

Holoscan SDK — Build from Source

Purpose

Build the Holoscan SDK from the nvidia-holoscan/holoscan-sdk source tree using its ./run script (which builds inside a Docker container), producing a local install tree consumable as a CMake dependency.

Prerequisites

Linux host with NVIDIA GPU + driver (nvidia-smi).
git, Docker with NVIDIA Container Toolkit (docker run --gpus all works), and docker-buildx-plugin.
~20 GB free disk for the build container + build/install trees.
10–30 min for a clean first build.

Limitations

Only recommended when published packages (Conda / container / apt / wheel) don't fit — debug symbols, custom CMake options, or unsupported configs.
Still requires Docker — the ./run script builds inside a container; this is not a true bare-metal build.
Cross-compiling to aarch64 needs qemu-user-static on the host.

Step 0: Consult the Official Install Instructions

Always fetch the "Build from Source" section of https://docs.nvidia.com/holoscan/sdk-user-guide/sdk_installation.html (and the linked GitHub README.md / DEVELOP.md for the chosen tag) before building. Extract: required ./run flags for the target architecture and CUDA major, supported branches/tags, any Dockerfile patches called out for the release, and the test names recommended for verification. If the doc disagrees with anything below, the doc wins.

Step 1: Prerequisites

Check that git and Docker (with GPU passthrough) are available:

git --version
docker --version
docker run --rm --gpus all ubuntu:22.04 nvidia-smi

If Docker is missing → help install from https://docs.docker.com/engine/install/

If GPU passthrough fails → install NVIDIA Container Toolkit:

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
  | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
  | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

Track record

Benchmark

22 / 22

test cases passed, vs 9 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

nvidia / skills

skills/holoscan-install-source/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Holoscan SDK — Build from Source

Purpose

Prerequisites

Limitations

Step 0: Consult the Official Install Instructions

Step 1: Prerequisites

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills