OpenClaw

runpod

Manage RunPod GPU cloud instances - create, start, stop, connect to pods via SSH and API. Use when working with RunPod infrastructure, GPU instances, or need SSH access to remote GPU machines. Handles pod lifecycle, SSH proxy connections, filesystem mounting, and API queries. Requires runpodctl (brew install runpod/runpodctl/runpodctl).

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查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install andrewharp/runpod

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

RunPod Skill

Manage RunPod GPU cloud instances, SSH connections, and filesystem access.

Prerequisites

brew install runpod/runpodctl/runpodctl
runpodctl config --apiKey "your-api-key"

SSH Key: runpodctl manages SSH keys in ~/.runpod/ssh/:

runpodctl ssh add-key

View and manage keys at: https://console.runpod.io/user/settings

Mount script configuration: The mount script checks ~/.ssh/runpod_key first, then falls back to runpodctl's default key. Override with:

export RUNPOD_SSH_KEY="$HOME/.runpod/ssh/RunPod-Key"

Host keys are stored separately in ~/.runpod/ssh/known_hosts (isolated from your main SSH config). Uses StrictHostKeyChecking=accept-new to verify hosts on reconnect while allowing new RunPod instances.

Quick Reference

runpodctl get pod                    # List pods
runpodctl get pod <id>               # Get pod details
runpodctl start pod <id>             # Start pod
runpodctl stop pod <id>              # Stop pod
runpodctl ssh connect <id>           # Get SSH command
runpodctl send <file>                # Send file to pod
runpodctl receive <code>             # Receive file from pod

Common Operations

Create Pod

# Without volume
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404"

# With volume (100GB at /workspace)
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" --volumeSize 100 --volumePath "/workspace"

Important: When using a volume (--volumeSize), always specify --volumePath too. Without it:

error creating container: ... invalid mount config for type "volume": field Target must not be empty

SSH to Pod

# Get SSH command
runpodctl ssh connect <pod_id>

# Connect directly (copy command from above)
ssh -p <port> root@<ip> -i ~/.ssh/runpod_key

Mount Pod...

来源信息

Source: github
Repository: openclaw/skills
Path: skills/andrewharp/runpod
Version: —
Commit: f3b46c4478110af112707fa33079e6805bbb99a8
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# RunPod Skill

Manage RunPod GPU cloud instances, SSH connections, and filesystem access.

## Prerequisites

```bash
brew install runpod/runpodctl/runpodctl
runpodctl config --apiKey "your-api-key"
```

**SSH Key:** runpodctl manages SSH keys in `~/.runpod/ssh/`:

```bash
runpodctl ssh add-key
```

View and manage keys at: https://console.runpod.io/user/settings

**Mount script configuration:**
The mount script checks `~/.ssh/runpod_key` first, then falls back to runpodctl's default key. Override with:
```bash
export RUNPOD_SSH_KEY="$HOME/.runpod/ssh/RunPod-Key"
```

Host keys are stored separately in `~/.runpod/ssh/known_hosts` (isolated from your main SSH config). Uses `StrictHostKeyChecking=accept-new` to verify hosts on reconnect while allowing new RunPod instances.

## Quick Reference

```bash
runpodctl get pod                    # List pods
runpodctl get pod <id>               # Get pod details
runpodctl start pod <id>             # Start pod
runpodctl stop pod <id>              # Stop pod
runpodctl ssh connect <id>           # Get SSH command
runpodctl send <file>                # Send file to pod
runpodctl receive <code>             # Receive file from pod
```

## Common Operations

### Create Pod

```bash
# Without volume
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404"

# With volume (100GB at /workspace)
runpodctl create pod --name "my-pod" --gpuType "NVIDIA GeForce RTX 4090" --imageName "runpod/pytorch:1.0.2-cu1281-torch280-ubuntu2404" --volumeSize 100 --volumePath "/workspace"
```

**Important:** When using a volume (`--volumeSize`), always specify `--volumePath` too. Without it:
```
error creating container: ... invalid mount config for type "volume": field Target must not be empty
```

### SSH to Pod

```bash
# Get SSH command
runpodctl ssh connect <pod_id>

# Connect directly (copy command from above)
ssh -p <port> root@<ip> -i ~/.ssh/runpod_key
```

### Mount Pod...

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