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Skills directory/openai/plugins/nemoclaw-user-get-started

NVIDIA NemoClaw Getting Started in Codex for a Preflight Review

Prepare for NemoClaw onboarding by reviewing the right agent variant, prerequisites, host changes, and the first sandbox checkpoint before installing.

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Setup for Codex (NVIDIA skills)

Use the NVIDIA skill in Codex. The example is an offline preflight based on a fictional host. Live onboarding uses a supported operating environment and the current NVIDIA quickstart for your agent variant.

  1. Open the pinned NVIDIA skills repository and add the NVIDIA getting-started skill to Codex. For the historical revision, copy its whole source folder with references into the practice project's .agents/skills directory.
  2. Invoke $nemoclaw-user-get-started and choose the OpenClaw or Hermes guide for the intended test. Read the current NVIDIA prerequisites and quickstart before starting the runtime installation.
  3. For a future live test, review the installer and note any Docker, operating-system, gateway, or account changes it expects. Follow the documented onboarding for your chosen variant on a test host.

Example task

Ask Codex for a preflight table for a fictional Linux test host. It has no working container runtime, no provider selected, and no existing NemoClaw sandbox. Request a check of prerequisites, required decisions, and the future first-prompt verification step without running commands.

Expected result

The table marks the container runtime and provider choice as pending. It leaves the sandbox and first-prompt checks unverified and lists where the current NVIDIA documentation resolves each prerequisite.

Upstream documentation

Original SKILL.md on GitHub · Apache-2.0 license · Source reviewed 2026-11-15

Frequently asked question

Does passing the preflight show that the agent is running?

The preflight checks prerequisites. Confirm a running sandbox and an actual response only after you complete the variant's documented onboarding on your test host.

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