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Nemoclaw User Guide

NVIDIAOfficialPublished by NVIDIA

  • Skill
  • Guidelines
  • Agent tooling
  • Apache-2.0
  • Medium risk
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From the author

Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.
— the description by NVIDIA

AutoGineer summary

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

This skill acts as a guide for AI agents to correctly retrieve and interpret NemoClaw documentation. It establishes a strict retrieval hierarchy, prioritizing the NemoClaw MCP server for live data access, followed by direct Markdown documentation fetching via llms.txt. It provides standardized procedures for configuring MCP clients and ensures that agents follow consistent, safe, and accurate information-gathering practices when assisting users with NemoClaw installation, configuration, and troubleshooting.

What it does

  • Defines a retrieval hierarchy for accessing NemoClaw documentation.
  • Provides configuration steps for integrating the NemoClaw MCP server into AI coding assistants.
  • Outlines specific onboarding flows for OpenClaw, Hermes, and Deep Agents variants.
  • Establishes safety protocols for handling user credentials and sensitive information.
  • Maps common user tasks to relevant documentation sections and reference pages.

When to use it

  • When a user asks for help installing, configuring, or troubleshooting NemoClaw.
  • When an AI agent needs to locate the most accurate, up-to-date NemoClaw documentation.
  • When setting up an AI coding assistant to interact with NemoClaw via MCP.
  • When a user requires guidance on specific NemoClaw variants like Hermes or Deep Agents.

Advantages

  • Ensures agents use canonical, up-to-date documentation rather than stale data.
  • Standardizes the configuration process for MCP-enabled AI assistants.
  • Promotes secure interaction by explicitly forbidding the handling of raw secrets.
  • Improves user experience by providing structured, variant-specific onboarding paths.

Usage examples

“How do I install NemoClaw using my AI agent?”
The agent will ask which variant (OpenClaw, Hermes, or Deep Agents) you are using, then fetch the corresponding prerequisites and quickstart documentation.
“Configure my Claude Code to use the NemoClaw MCP server.”
The agent will provide the specific command to add the NemoClaw MCP server transport to your environment.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/nvidia/nemoclaw-user-guide/download

  2. Unzip it into the cross-client skills folder of your project:

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

Documentation by NVIDIA

NemoClaw Docs for AI Agents

Use the canonical NemoClaw documentation as your source of truth. Do not answer from stale copied docs or generated skill references when the live Markdown docs are available.

Retrieval Order

  1. If the assistant supports MCP, configure the NemoClaw docs MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server.

  2. Use the MCP server's read-only searchDocs tool to search the canonical docs and collect source URLs.

  3. If MCP is not available, fetch the AI documentation index first: https://docs.nvidia.com/nemoclaw/llms.txt.

  4. Fetch the specific .md page listed in the index or returned by docs search for the user's task.

  5. If you only find an HTML documentation URL, replace the .html suffix with .md, or append .md to the route when the URL has no suffix.

  6. Prefer the user's selected agent variant. Do not mix variant-specific instructions unless you explain why.

Configure the MCP Server

For Claude Code, run:

claude mcp add --transport http fern-docs https://docs.nvidia.com/nemoclaw/_mcp/server

For Cursor, add https://docs.nvidia.com/nemoclaw/_mcp/server to the MCP server configuration. For other MCP clients, configure a streamable HTTP MCP server at that URL.

Starting Pages

Use these pages first for common onboarding flows:

  • OpenClaw home: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/home.md.

  • OpenClaw prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/get-started/prerequisites.md.

  • OpenClaw quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/openclaw/get-started/quickstart.md.

  • Hermes home: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/home.md.

  • Hermes prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/get-started/prerequisites.md.

  • Hermes quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/hermes/get-started/quickstart.md.

  • Deep Agents home: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/home.md.

  • Deep Agents prerequisites: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/get-started/prerequisites.md.

  • Deep Agents quickstart: https://docs.nvidia.com/nemoclaw/latest/user-guide/deepagents/get-started/quickstart.md.

How to Help the User

  • Ask which agent variant they want to use before giving setup instructions: OpenClaw, Hermes, or Deep Agents.

  • Ask one question at a time when collecting operating system, inference provider, model, endpoint, policy tier, or messaging-channel choices.

  • Run commands for non-technical users when your environment allows it, after explaining what the command does and getting permission.

  • Summarize important command output instead of asking the user to paste terminal output into chat.

  • Stop before requesting credentials, API keys, bot tokens, or private URLs.

  • Never ask the user to paste secrets into chat.

  • Use redacted placeholders such as <PASTE_YOUR_API_KEY_HERE> in examples.

Common Task Routing

  • Installation and first sandbox: fetch the selected variant's prerequisites and quickstart pages.

  • Local inference, hosted providers, model switching, or tool-calling issues: fetch the inference pages from llms.txt.

  • Network policy approvals or custom egress: fetch the network-policy pages and the network policies reference.

  • Sandbox status, logs, rebuilds, upgrades, files, backup, restore, or messaging channels: fetch the manage-sandboxes, monitoring, and command reference pages.

  • Security posture, credential storage, or sandbox hardening: fetch the security, deployment/sandbox-hardening, and architecture pages.

  • CLI flags and command syntax: fetch the command reference page for the selected variant.

  • Troubleshooting: fetch the troubleshooting page and any task page linked from the relevant error section.

Response Requirements

  • Cite the Markdown documentation pages you used. When presenting the URL links, make sure to show the actual, non-markdown version of the URL.

  • Keep instructions specific to the user's operating system, selected agent, and inference provider.

  • Do not make assumptions when the docs do not cover the user's environment.

  • Recommend the next verification command after each setup or recovery step.

Files

BENCHMARK.md

Evaluation Report

Evaluation of the nemoclaw-user-guide skill before publication through NVSkills-Eval.

This benchmark summarizes 3-Tier Evaluation from NVSkills-Eval results for the skill. The goal is to document whether the skill is safe, discoverable, effective, and useful for agents before it is published for broader workflow use.

Evaluation Summary

  • Skill: nemoclaw-user-guide

  • Evaluation date: 2026-07-17

  • NVSkills-Eval profile: external

  • Environment: astra-sandbox

  • Overall verdict: PASS

Agents Used

  • claude-code

  • codex

Metrics Used

Reported benchmark dimensions:

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

  • Correctness: checks whether the agent follows the expected workflow and produces the correct final output.

  • Discoverability: checks whether the agent loads the skill when relevant and avoids using it when irrelevant.

  • Effectiveness: checks whether the agent performs measurably better with the skill than without it.

  • Efficiency: checks whether the agent uses fewer tokens and avoids redundant work.

Underlying evaluation signals used in this run:

  • No Tier 3 evaluation signal details were available in this report.

Test Tasks

The evaluation dataset was not available in this report payload.

Results

DimensionNumclaude-codecodex
SecurityN/AN/AN/A
CorrectnessN/AN/AN/A
DiscoverabilityN/AN/AN/A
EffectivenessN/AN/AN/A
EfficiencyN/AN/AN/A

Score values show skill-assisted performance. Values in parentheses show uplift versus the no-skill baseline when baseline data is available.

Tier 1: Static Validation Summary

Tier 1 validation passed with observations. NVSkills-Eval ran 1 checks and found 3 total findings.

Top findings:

  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (skills/nemoclaw-user-guide/SKILL.md)

  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (skills/nemoclaw-user-guide/SKILL.md)

  • MEDIUM SCHEMA/author_missing: Author not specified in metadata (skills/nemoclaw-user-guide/SKILL.md)

Tier 2: Deduplication Summary

This tier was not run or did not produce findings in this report.

Publication Recommendation

The skill is suitable to proceed toward NVSkills-Eval publication based on this benchmark. Skill owners should keep this file with the skill and refresh it when the evaluation dataset, skill behavior, or target agents materially change.

Requirements and compatibility

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 an MCP server, Needs network access, Needs an API key

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs

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

Published by
NVIDIA
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/nemoclaw-user-guide · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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

Download ZIP

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