Generated banner for Nemoclaw User Get Started
Generated logo for Nemoclaw User Get Started

Nemoclaw User Get Started

OpenAIOfficialCreated by NVIDIADistributed by OpenAI

  • Skill
  • Workflow
  • Automation and integrations
  • Apache-2.0
  • Medium risk

From the author

Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.
— the description by NVIDIA

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The NemoClaw Quickstart skill provides a streamlined installation process for NemoClaw, including the necessary environment setup, sandbox creation, and agent configuration. It automates the installation of dependencies like Node.js and Docker, manages the onboarding wizard for inference provider selection, and configures network policies and messaging integrations. This skill is designed to get users from a clean host to a running, sandboxed OpenClaw agent environment efficiently.

What it does

  • Downloads and executes the NemoClaw installer script.
  • Automatically detects and installs required dependencies like Node.js and Docker.
  • Launches an interactive onboarding wizard to configure inference providers and sandbox settings.
  • Sets up network policy presets to control sandbox access to external services.
  • Configures optional messaging channels like Slack, Discord, or Telegram.
  • Provides commands to launch the OpenClaw UI or connect via terminal.

When to use it

  • When you are setting up NemoClaw on a new machine for the first time.
  • When you need to create a new sandboxed OpenClaw agent environment.
  • When you need to perform an express installation on supported platforms like WSL or DGX.
  • When you need to reconfigure or recreate the OpenShell gateway and sandbox environment.

Advantages

  • Automates complex environment setup and dependency management.
  • Provides a guided, interactive experience for configuring inference and security.
  • Supports non-interactive modes for CI/CD and automated deployment scenarios.
  • Ensures consistent sandbox configuration through validated policy presets.

Usage examples

“nemoclaw quickstart”
The agent initiates the NemoClaw installation script and launches the onboarding wizard to guide you through sandbox creation.
“install nemoclaw openclaw sandbox”
The agent triggers the installation process, checks for prerequisites, and prepares the environment for a new OpenClaw instance.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/openai/nemoclaw-user-get-started/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip nemoclaw-user-get-started.zip -d .agents/skills

Documentation by NVIDIA

NemoClaw Quickstart with OpenClaw

Follow these steps to get started with NemoClaw and your first sandboxed OpenClaw agent.

Note:

Make sure you have completed reviewing the Prerequisites before following this guide.

Install NemoClaw and Onboard OpenClaw Agent

Download and run the installer script. The script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.

Note:

NemoClaw creates a fresh OpenClaw instance inside the sandbox during the onboarding process.

curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash

The piped installer prompts through your terminal. In headless scripts or CI, pass explicit acceptance to the bash side of the pipe:

$ curl -fsSL https://www.nvidia.com/nemoclaw.sh | NEMOCLAW_NON_INTERACTIVE=1 NEMOCLAW_ACCEPT_THIRD_PARTY_SOFTWARE=1 bash

If you use nvm or fnm to manage Node.js, the installer might not update your current shell's PATH. If nemoclaw is not found after install, run source ~/.bashrc (or source ~/.zshrc for zsh) or open a new terminal.

On Linux, the installer checks Docker before it installs NemoClaw. If Docker is missing, the installer downloads the official Docker convenience script, asks for sudo, installs Docker, and starts the Docker service when systemd is available. If Docker is installed but your current shell cannot use the Docker socket yet, the installer adds your user to the docker group when needed and exits with a recovery command.

On macOS, the installer uses the Docker-driver OpenShell gateway path with Docker Desktop or Colima.

$ newgrp docker
$ curl -fsSL https://www.nvidia.com/nemoclaw.sh | bash

On DGX Spark, DGX Station, and Windows WSL, an interactive installer offers express install after you accept the third-party software notice. Express install switches onboarding to non-interactive mode, allows sudo password prompts for required host changes, and selects the managed local inference path for that platform. Unless NEMOCLAW_POLICY_TIER is set, it applies sandbox policy in suggested mode with the balanced tier by default, using the base sandbox policy plus supported package, model, web-search, and local-inference presets. On WSL, express install selects the Windows-host Ollama setup path. Set NEMOCLAW_NO_EXPRESS=1 to skip the express prompt, or set NEMOCLAW_PROVIDER before launching the installer when you want to choose a provider yourself.

The installer auto-launches nemoclaw onboard when it can locate the freshly-installed binary. If it cannot locate the binary, or if blocking host preflight checks fail, it does not launch the wizard automatically. In that case, the installer prints the relevant diagnostics and a To finish setup, run: block with the explicit nemoclaw onboard command.

Note:

The onboard flow builds the sandbox image with NEMOCLAW_DISABLE_DEVICE_AUTH=1 so the dashboard is immediately usable during setup. This is a build-time setting baked into the sandbox image, not a runtime knob. If you export NEMOCLAW_DISABLE_DEVICE_AUTH after onboarding finishes, it has no effect on an existing sandbox.

Review the Configuration Before the Sandbox Build

After you enter the sandbox name, the wizard prints a review summary and asks for final confirmation before registering the provider, prompting for optional integrations, and building the sandbox image. For example, if you picked an OpenAI-compatible endpoint, the summary looks like the following:

  ──────────────────────────────────────────────────
  Review configuration
  ──────────────────────────────────────────────────
  Provider:      compatible-endpoint
  Model:         openai/openai/gpt-5.5
  API key:       COMPATIBLE_API_KEY (staged for OpenShell gateway registration)
  Web search:    disabled
  Messaging:     none
  Sandbox name:  my-gpt-claw
  Note:          Sandbox build typically takes 5–15 minutes on this host.
  ──────────────────────────────────────────────────
  Web search and messaging channels will be prompted next.
  Apply this configuration? [Y/n]:

The default is Y, so you can press Enter once to continue. Answer n to abort cleanly, fix the entries, and re-run nemoclaw onboard.

Non-interactive runs (NEMOCLAW_NON_INTERACTIVE=1) print the summary for log clarity but skip the prompt.

Configure Web Search and Messaging

After you confirm the summary, NemoClaw registers the selected provider with the OpenShell gateway and sets the inference.local route. The wizard then asks whether to enable Brave Web Search. If you enable it, enter a Brave Search API key when prompted.

The wizard also offers messaging channels such as Telegram, Discord, Slack, WeChat, and WhatsApp. Press a channel number to toggle it, then press Enter to continue. If you select a channel, NemoClaw validates the token format before it bakes the channel configuration into the sandbox. For example, Slack bot tokens must start with xoxb-. WeChat and WhatsApp are experimental. Review Messaging Channels (use the nemoclaw-user-manage-sandboxes skill) before enabling them.

Choose Network Policy Presets

After the sandbox image builds and OpenClaw starts inside the sandbox, NemoClaw asks which network policy tier to apply. The default Balanced tier includes common development presets such as npm, PyPI, Hugging Face, Homebrew, and Brave Search when the selected agent supports web search. Use the arrow keys or j and k to move, Space to select, and Enter to confirm.

The preset selector lets you include more destinations, such as GitHub, Jira, Slack, Telegram, or local inference. Press r to toggle a selected preset between read-only and read-write when the preset supports both modes.

When the install completes, a summary confirms the running environment. Before printing the summary, NemoClaw verifies that the sandbox gateway and dashboard port forward are reachable. Inference route and messaging bridge checks are reported as warnings when they need more time or additional configuration. The Model and provider line reflects the inference option you picked during onboarding. The example below shows the result if you picked an OpenAI-compatible endpoint during onboarding.

──────────────────────────────────────────────────
NemoClaw is ready

Sandbox:  my-gpt-claw
Model:    openai/openai/gpt-5.5 (Other OpenAI-compatible endpoint)

Start chatting

  Browser:
    http://127.0.0.1:18789/

  Terminal:
    nemoclaw my-gpt-claw connect
    then run: openclaw tui

Authenticated dashboard URL, if needed:
  nemoclaw my-gpt-claw dashboard-url --quiet

Manage later

  Status:      nemoclaw my-gpt-claw status
  Logs:        nemoclaw my-gpt-claw logs --follow
  Model:       nemoclaw inference set --model <model> --provider <provider> --sandbox my-gpt-claw
  Policies:    nemoclaw my-gpt-claw policy-add
  Credentials: nemoclaw credentials reset <KEY> && nemoclaw onboard
──────────────────────────────────────────────────

[INFO]  === Installation complete ===

If you picked a different option, the Model line shows that provider's model and label instead. For example, you might see gpt-5.4 (OpenAI), claude-sonnet-4-6 (Anthropic), gemini-2.5-flash (Google Gemini), llama3.1:8b (Local Ollama), nvidia-routed (Model Router), or <your-model> (Other OpenAI-compatible endpoint).

Load references/quickstart-details.md for detailed steps on Respond to the Onboard Wizard.

Run Your First Agent Prompt

You can chat with the agent from the terminal or the browser.

Open the OpenClaw UI in a Browser to Chat with the Agent

The onboard wizard starts a background port forward to the sandbox dashboard, then prints the dashboard URL in the install summary. The default host port is 18789. If that port is already taken, NemoClaw uses the next free dashboard port, such as 18790, and prints that port in the final URL. If the chosen port becomes occupied after the sandbox build starts, onboarding rolls back the newly-created sandbox and asks you to retry instead of printing an unreachable dashboard URL. The install transcript does not print the gateway token. If the browser requires authentication, use the dashboard-url --quiet command to print a complete URL explicitly.

nemoclaw my-gpt-claw dashboard-url --quiet

Open the dashboard URL in your browser. If the browser asks for authentication, run nemoclaw my-gpt-claw dashboard-url --quiet and open the returned URL. Treat the authenticated URL like a password.

Chat with the Agent from the Terminal

Connect to the sandbox and use the OpenClaw CLI.

nemoclaw my-assistant connect
# inside the sandbox:
openclaw tui

References

  • Load references/quickstart-hermes.md when users ask for Hermes setup, NemoHermes onboarding, or running Hermes inside OpenShell. Installs NemoClaw, selects the Hermes agent, and launches a sandboxed Hermes API endpoint.

  • Load references/prerequisites.md when verifying prerequisites before installation. Lists the hardware, software, and container runtime requirements for running NemoClaw.

  • Load references/windows-preparation.md when preparing a Windows machine for NemoClaw, enabling WSL 2, configuring Docker Desktop for Windows, or troubleshooting a Windows-specific install error. Covers Windows-only preparation steps required before the Quickstart.

  • Load references/quickstart-details.md when you need detailed steps for Respond to the Onboard Wizard.

  • nemoclaw-user-overview — NemoClaw Overview (use the nemoclaw-user-overview skill) to learn what NemoClaw is and its capabilities

Files

skill-card.md

Description: <br>

Installs NemoClaw, launches a sandbox, and runs the first agent prompt. <br>

This skill is ready for commercial/non-commercial use. <br>

Owner

NVIDIA <br>

License/Terms of Use: <br>

Apache 2.0 <br>

Use Case: <br>

Developers and engineers installing NemoClaw for the first time, launching a sandboxed OpenClaw agent, and running their first agent prompt. <br>

Deployment Geography for Use: <br>

Global <br>

Known Risks and Mitigations: <br>

Risk: Review before execution as proposals could introduce incorrect or misleading guidance into skills. <br> Mitigation: Review and scan skill before deployment. <br>

Reference(s): <br>

Skill Output: <br>

Output Type(s): [Shell commands, Configuration instructions] <br> Output Format: [Markdown with inline bash code blocks] <br> Output Parameters: [1D] <br> Other Properties Related to Output: [None] <br>

Evaluation Metrics Used: <br>

Reported benchmark dimensions: <br>

  • Security: Checks whether skill-assisted execution avoids unsafe behavior such as secret leakage, destructive commands, or unauthorized access. <br>

  • Correctness: Checks whether the agent follows the expected workflow and produces the correct final output. <br>

  • Discoverability: Checks whether the agent loads the skill when relevant and avoids using it when irrelevant. <br>

  • Effectiveness: Checks whether the agent performs measurably better with the skill than without it. <br>

  • Efficiency: Checks whether the agent uses fewer tokens and avoids redundant work. <br>

Skill Version(s): <br>

0.1.0 (source: package.json) <br>

Ethical Considerations: <br>

NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal team to ensure this skill meets requirements for the relevant industry and use case and addresses unforeseen product misuse. <br>

(For Release on NVIDIA Platforms Only) <br> Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here. <br>

Requirements and compatibility

Written for: OpenAI Codex

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs network access, Needs an API key

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network
  • Downloads piped into a shell

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
NVIDIA
Publisher
OpenAI (Official)
Distributed by
OpenAI
Source
openai/plugins · plugins/nvidia/skills/nemoclaw-user-get-started · commit d420d13
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (written by AutoGineer)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by NVIDIA or OpenAI.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download nemoclaw-user-get-started.zip