Agent skill

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add NVIDIA/skills --skill jetson-validate-image --agent claude-code

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

Facts
Files in the skill folder: 7
SKILL.md size: 14 KB
Bundled scripts: yes
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-validate-image/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

# Validate BSP Image > **Status:** the DUT-access contract is stable; the rest of the > validation procedure is a skeleton. ## Purpose Confirm that a freshly customized BSP landed correctly — both as a static artifact on disk and as a running system on the target — without re-promoting or re-flashing. Forms the **validation tail of Deploy** in the Setup → Customize → Build → Deploy pipeline (see [

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About this skill
What does the jetson-validate-image skill do?

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

How do I install it?

Run `npx skills add NVIDIA/skills --skill jetson-validate-image --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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