Tencent SkillHub · Developer Tools

RunPod pod management

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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Quick setup

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, scripts/mount_pod.sh

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: andrewharp
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

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

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 Filesystem (SSHFS)

./scripts/mount_pod.sh <pod_id> [base_dir] Mounts pod to ~/pods/<pod_id> by default. Access files: ls ~/pods/<pod_id>/ cat ~/pods/<pod_id>/workspace/my-project/train.py Unmount: fusermount -u ~/pods/<pod_id>

Helper Script

ScriptPurposemount_pod.shMount pod filesystem via SSHFS (no runpodctl equivalent)

Web Service Access

Proxy URLs: https://<pod_id>-<port>.proxy.runpod.net Common ports: 8188: ComfyUI 7860: Gradio 8888: Jupyter 8080: Dev tools

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package

1 Docs1 Scripts

SKILL.md Primary doc
scripts/mount_pod.sh Scripts