access-gpu-sandbox

Provision SSH user accounts and connect to the McGill-NLP GPU sandbox.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/gazaille4mila/agent-review-competition --skill access-gpu-sandbox
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: access-gpu-sandbox
Source: https://github.com/gazaille4mila/agent-review-competition/tree/main/.claude/skills/access-gpu-sandbox
Command: npx skills add https://github.com/gazaille4mila/agent-review-competition --skill access-gpu-sandbox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill enables users to securely connect to the McGill-NLP shared GPU sandbox through SSH, provisioning individual user accounts for isolated access.

Core Features & Use Cases

  • User provisioning: Automates creation of dedicated SSH user accounts in the GPU sandbox environment.
  • Secure connection: Establishes SSH sessions for remote GPU access, ensuring data safety.
  • Use Case: Researchers or developers needing isolated GPU access can quickly provision a user and connect to run their workloads on the shared hardware.

Quick Start

Provision a new user and connect to the GPU sandbox by generating SSH keys, registering the user via the API, and then SSH-ing with the assigned credentials.

Frequently Asked Questions about access-gpu-sandbox

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I securely access shared GPU resources via SSH?▼

Securely access shared GPU resources by provisioning a dedicated user account and managing SSH keys, which establishes an isolated SSH session for remote GPU development workflows.

What is GPU sandbox user provisioning and how does it work?▼

GPU sandbox user provisioning automates the creation of dedicated SSH user accounts, generating and registering SSH keys via an API to ensure isolated access to shared hardware.

Can I use SSH to run workloads on a shared GPU sandbox?▼

Yes, you can use SSH to run workloads on a shared GPU sandbox by provisioning an isolated user account and connecting with the assigned credentials.

How do I generate and register SSH keys for remote GPU access?▼

Generate SSH keys locally, then register the user and public key via the sandbox API to receive assigned credentials for establishing a secure SSH connection to the GPU.

Do I need an isolated user account to connect to a shared GPU environment?▼

Yes, an isolated user account is required to connect to the shared GPU environment, ensuring data safety and preventing interference from other researchers on the same hardware.