Agent skill · AI & Agents

jetson-print-bsp-info

Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill.

NVIDIAgithub.com/NVIDIAGitHub ↗
claude-codecodexApache-2.0
Install
npx skills add NVIDIA/skills --skill jetson-print-bsp-info --agent claude-code

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

Facts
Files in the skill folder: 5
SKILL.md size: 5 KB
Bundled scripts: none
Version: 0.0.1
Declared author: Jetson Team
Path: skills/jetson-print-bsp-info/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

# jetson-print-bsp-info Prints a concise summary of a Jetson Linux_for_Tegra (BSP) tree on the host PC. This skill is intended as a reference example for the `jetson-bsp-skills` repo and the NVIDIA-wide skills CI. It performs read-only inspection — no flashing, no rootfs changes. ## Purpose Capture a baseline snapshot of a Linux_for_Tegra BSP tree (release, board configs, rootfs state) before flas

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About this skill
What does the jetson-print-bsp-info skill do?

Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill.

How do I install it?

Run `npx skills add NVIDIA/skills --skill jetson-print-bsp-info --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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