A comprehensive monitoring and diagnostic toolkit for NVIDIA Jetson development boards providing real-time hardware telemetry.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jetson-tools
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install jetson-tools using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is jetson-tools?
The jetson-tools skill is a specialized utility suite designed for developers working on the NVIDIA Jetson edge AI platform. It serves as a bridge between the raw tegrastats data and actionable developer insights, allowing for seamless integration into automated workflows. As a featured part of the Openclaw Skills library, it simplifies the process of tracking critical system metrics during the deployment of intensive AI models.
This skill enables developers to keep a pulse on their hardware's health and performance without manual parsing of system files. By leveraging native NVIDIA utilities, it provides high-fidelity data on power consumption, thermal throttling, and resource utilization, making it an essential addition for those utilizing Openclaw Skills for edge computing.
jetson-tools Use Cases
- Real-time system health monitoring during AI model inference testing.
- Debugging thermal throttling issues in enclosed hardware environments.
- Verifying JetPack version compatibility and hardware specifications for deployment.
- Profiling GPU and memory overhead to optimize resource allocation.
How jetson-tools Works
- The skill interfaces with the native tegrastats utility to pull live telemetry from the Jetson SoC.
- It parses hardware-level information from jetson_release to identify the specific board configuration and JetPack environment.
- The data is aggregated and formatted into human-readable or machine-parsable outputs depending on the command executed.
- Developers can invoke specific monitoring hooks to trigger actions based on temperature or resource thresholds.
jetson-tools Setup
To install and configure this skill within your environment, ensure you are running on an NVIDIA Jetson device and execute the following:
# Install the necessary system dependencies
sudo apt-get update
sudo apt-get install -y tegrastats
# Clone and integrate the skill
claw install jetson-tools
jetson-tools Data Schema & Taxonomy
The skill organizes system data into logical groups for easy retrieval. The metadata taxonomy includes:
| Data Category | Metrics Captured |
|---|---|
| Hardware Info | Model Name, JetPack Version, L4T Version |
| GPU Status | Utilization percentage, Clock Frequency |
| Thermal | CPU/GPU/SOC Temperature sensors |
| Memory | RAM and SWAP usage statistics |
| CPU | Individual core load and frequency |
jetson-tools Advanced Features
- Direct integration with tegrastats for sub-second monitoring intervals.
- Automated hardware identification through jetson_release hooks.
- Multi-sensor thermal tracking to prevent hardware damage during high-load tasks.
- Seamless compatibility with other Openclaw Skills for automated DevOps pipelines at the edge.
SKILL.md
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