Overview
- Skill Key
- andrewharp/runpod
- Author
- andrewharp
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/andrewharp/runpod
- Latest Commit SHA
- f3b46c4478110af112707fa33079e6805bbb99a8
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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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 runpod 技能。 若已安装,则直接安装 runpod 技能。
# 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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