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runpod-compute

DevOps & Security
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Provision and manage GPU pods on RunPod for explicitly chosen long-running research experiments. Use when a Feynman replication, benchmark, or dataset-heavy research run needs persistent GPU compute with SSH access.

QUICK START

How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/companion-inc/feynman/blob/HEAD/skills/runpod-compute/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

RunPod Compute

Use runpodctl CLI for persistent GPU pods with SSH access during a specific research run. Do not use this skill for provider administration outside that run; tie every pod to a replication, benchmark, or dataset-heavy research objective.

Setup

brew install runpod/runpodctl/runpodctl   # macOS
runpodctl config --apiKey=YOUR_KEY

Commands

CommandDescription
runpodctl create pod --gpuType "NVIDIA A100 80GB PCIe" --imageName "runpod/pytorch:2.4.0-py3.11-cuda12.4.1-devel-ubuntu22.04" --name experimentCreate a pod
runpodctl get podList all pods
runpodctl stop pod <id>Stop (preserves volume)
runpodctl start pod <id>Resume a stopped pod
runpodctl remove pod <id>Terminate and delete
runpodctl gpu listList available GPU types and prices
runpodctl send <file>Transfer files to/from pods
runpodctl receive <code>Receive transferred files

SSH access

ssh root@<IP> -p <PORT> -i ~/.ssh/id_ed25519

Get connection details from runpodctl get pod <id>. Pods must expose port 22/tcp.

GPU types

NVIDIA GeForce RTX 4090, NVIDIA RTX A6000, NVIDIA A40, NVIDIA A100 80GB PCIe, NVIDIA H100 80GB HBM3

When to use

  • Long-running research experiments needing persistent state
  • Large research datasets required by a replication or benchmark
  • Multi-step research work with SSH access between iterations
  • Always stop or remove pods after experiments
  • Check availability: command -v runpodctl