agent-fresh-operate

Orchestrate deployment, teardown, and verification of Nebius Physical AI agent VMs.

17|8|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/nebius/nebius-physical-ai --skill agent-fresh-operate
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-fresh-operate
Source: https://github.com/nebius/nebius-physical-ai/tree/main/skills/workflows/agent-fresh-operate
Command: npx skills add https://github.com/nebius/nebius-physical-ai --skill agent-fresh-operate

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, pytest, and includes scripts (resource) components.

What problem does it solve?

This skill resolves the complexity of managing the lifecycle of physical-AI agent VMs on Nebius, preventing issues like orphan resources, IAM permission gaps, and inconsistent deployment states.

Core Features & Use Cases

  • Automated Lifecycle Management: Handles the full cycle of fresh setup, teardown, and redeployment of agent VMs.
  • Verification Gates: Provides tiered validation (Smoke, Grounded, Live, Mature) to ensure agent health and functionality.
  • Use Case: Use this when you need to perform a clean redeploy of an agent VM after a configuration change or to debug deployment failures in a development environment.

Quick Start

Use the agent-fresh-operate skill to execute a full destroy and fresh setup loop for the agent project alias specified in your environment variables.

Frequently Asked Questions about agent-fresh-operate

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

FAQPage Schema
How do I automate the deployment and teardown of Nebius Physical AI agent virtual machines?

You can automate the lifecycle of Nebius Physical AI agent virtual machines by orchestrating their deployment, teardown, and verification. This process manages infrastructure state, ingress rules, and service account attachments to ensure reproducible development workflows.

What is the best way to debug inconsistent deployment states for physical-AI agent VMs?

The best way to resolve inconsistent deployment states for physical-AI agent VMs is to perform a full destroy and fresh setup loop. Automating this clean redeploy cycle prevents orphan resources and IAM permission gaps that cause deployment failures.

How does agent VM lifecycle verification work during a fresh setup?

Agent VM lifecycle verification works by applying tiered validation gates to ensure health and functionality. The process provides Smoke, Grounded, Live, and Mature validation tiers to systematically verify the operational state after deployment.

Do I need the npa CLI to manage Nebius physical-AI agent infrastructure?

Yes, you need the npa CLI to manage Nebius physical-AI agent infrastructure. Executing cloud-native lifecycle operations for deployment and teardown requires integration with the npa CLI and proper local environment configuration.

What are the limitations of automating physical-AI agent VM lifecycle management?

A limitation of automating physical-AI agent VM lifecycle management is its strict dependency on local environment configuration and the npa CLI. Without correct environment variables for the agent project alias, the destroy and fresh setup loop cannot execute properly.