Agent skill · Testing & QA

hsb-test

Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexcan modify filesApache-2.0
Install
npx skills add NVIDIA/skills --skill hsb-test --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 16 KB
Bundled scripts: none
Version: 1.0.0
Declared author: Holoscan Team <holoscan-team@nvidia.com>
Allowed tools: ReadWriteEditMultiEditGrepGlobBash
Path: skills/hsb-test/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,789
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# HSB QA Test Runner Use this skill when the user wants to execute a QA test plan against an HSB board and devkit. The skill reads a test document (local file or web link), filters tests to those that can run automatically on the user's specific hardware setup, executes each test with pass/fail evaluation, and produces a comprehensive results report. This skill assumes the devkit is already set up

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About this skill
What does the hsb-test skill do?

Execute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.

How do I install it?

Run `npx skills add NVIDIA/skills --skill hsb-test --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From NVIDIA/skills, a repository with 2,789 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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