← 返回 Skills 市场
188
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install nvidia-smi
功能描述
Provides detailed guidance on using the nvidia-smi command for real-time NVIDIA GPU monitoring, management, troubleshooting, and automation.
安全使用建议
This is a coherent, instruction-only tutorial for nvidia-smi and NVML. Before installing or enabling it: 1) Confirm your system actually has NVIDIA drivers and nvidia-smi available; the skill assumes these tools exist. 2) Be aware the instructions include process termination (kill <PID>) — only allow the agent to run such commands if you trust it or review actions first. 3) The Python example requires the pynvml library; install it manually (pip install nvidia-ml-py3 or similar) if you plan to run the sample. 4) Because the skill can instruct shell actions, consider limiting autonomous execution or requiring user confirmation for destructive commands. No credentials are requested by the skill, which reduces risk.
功能分析
Type: OpenClaw Skill
Name: nvidia-smi
Version: 1.0.0
The skill bundle provides legitimate documentation and a Python script example for using the 'nvidia-smi' utility to monitor and manage NVIDIA GPUs. The content in SKILL.md is purely educational and functional, focusing on standard system administration tasks like monitoring VRAM, temperature, and process management without any indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The SKILL.md content matches the stated purpose: detailed guidance for nvidia-smi, NVML/pynvml usage, monitoring, troubleshooting, and basic process management. It references expected tools (nvidia-smi, watch, kill, pynvml). The registry metadata declared no required binaries — a minor documentation gap but not an incoherence: the referenced commands are appropriate to the stated purpose.
Instruction Scope
Instructions stay within the GPU monitoring/management scope. They advise running nvidia-smi, using watch/dmon, parsing CSV output, and include a Python pynvml monitoring example. They also recommend killing processes (kill <PID>) to free VRAM, which is a legitimate but potentially destructive admin action; the skill does not instruct reading unrelated files or exfiltrating data.
Install Mechanism
This is an instruction-only skill with no install spec or code files, which is the lowest-risk install model. The Python example references the external library 'pynvml' but no install instructions are provided — this is an omission for usability but not an active security risk from the skill bundle itself.
Credentials
The skill requests no environment variables, credentials, or config paths. It performs tasks that do not require secrets. This is proportionate to the stated purpose.
Persistence & Privilege
The skill is not marked always:true and does not request persistent system-level privileges. Note: the skill's runtime instructions include commands that terminate processes (kill) and run long-running monitoring; if the agent is allowed to execute shell commands autonomously, that capability could be used to perform destructive actions. Autonomous invocation itself is the platform default and is not a fault of the skill, but users should be aware.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install nvidia-smi - 安装完成后，直接呼叫该 Skill 的名称或使用
/nvidia-smi触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: Comprehensive guide to mastering the `nvidia-smi` command for GPU monitoring, management, and troubleshooting.
- Covers basic and advanced `nvidia-smi` usage for status checks, process management, and detailed queries.
- Explains interpretation of key output fields, including memory usage, GPU utilization, and process information.
- Provides actionable workflows for diagnosing "CUDA out of memory" errors and performance bottlenecks.
- Introduces continuous monitoring, filtering, and daemon mode for real-time updates.
- Includes automation tips, with example Python monitoring script using the `pynvml` library for direct NVML access.
元数据
常见问题
Nvidia smi tutorial 是什么？
Provides detailed guidance on using the nvidia-smi command for real-time NVIDIA GPU monitoring, management, troubleshooting, and automation. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 188 次。
如何安装 Nvidia smi tutorial？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install nvidia-smi」即可一键安装，无需额外配置。
Nvidia smi tutorial 是免费的吗？
是的，Nvidia smi tutorial 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Nvidia smi tutorial 支持哪些平台？
Nvidia smi tutorial 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Nvidia smi tutorial？
由 wow（@duanc-chao）开发并维护，当前版本 v1.0.0。
推荐 Skills