NVIDIA/NemoClaw is an open-source reference stack for running supported AI agents inside NVIDIA OpenShell sandboxes with managed inference, network policies, integrations, snapshots, and lifecycle controls. It is used to run agents such as OpenClaw, Hermes, and LangChain Deep Agents with administrative and security controls. Catalogue add-ons guide coding agents through NemoClaw workflows.
Borrowing it
Nothing to install: this file belongs to NVIDIA/NemoClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/NVIDIA/NemoClaw/main/.agents/skills/nemoclaw-user-guide/SKILL.mdgit clone --depth 1 https://github.com/NVIDIA/NemoClawWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-user-guide)<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-user-guide"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-user-guide/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-user-guide"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-user-guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 58 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00098 | $0.01209 |
| Opus 5 | $0.00049 | $0.00605 |
| Sonnet 5 | $0.00020 | $0.00242 |
| Haiku 4.5 | $0.00010 | $0.00121 |
Grade A, and why
nemoclaw-user-guide scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- If the assistant supports MCP, configure the NemoClaw docs MCP server at
https://docs.nvidia.com/nemoclaw/_mcp/server. - Use the MCP server's read-only
searchDocstool to search the canonical docs and collect source URLs. - If MCP is not available, fetch the AI documentation index first:
https://docs.nvidia.com/nemoclaw/llms.txt. - Fetch the specific
.mdpage listed in the index or returned by docs search for the user's task. - If you only find an HTML documentation URL, replace the
.htmlsuffix with.md, or append.mdto the route when the URL has no suffix. - 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. - Pi home:
https://docs.nvidia.com/nemoclaw/latest/user-guide/pi/home.md. - Pi quickstart:
https://docs.nvidia.com/nemoclaw/latest/user-guide/pi/get-started/quickstart.md. - Pi operations:
https://docs.nvidia.com/nemoclaw/latest/user-guide/pi/manage-sandboxes/run-pi.md. - Pi support and security:
https://docs.nvidia.com/nemoclaw/latest/user-guide/pi/reference/pi-support.md. - Pi command reference:
https://docs.nvidia.com/nemoclaw/latest/user-guide/pi/reference/commands.md.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 77 lines · 98 tokens per session scan A 48899df7cdc8
nemoclaw-user-guide is a skill published in the GitHub repository NVIDIA/NemoClaw (22,418 stars, last pushed today), licensed Apache-2.0. It adds 98 tokens to every session and 1,209 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
pentest-ctf-binary
Binary exploitation (Pwn) and reverse engineering tools for CTF challenges and software analysis.
pentest-ctf-forensics
Digital forensics, steganography, and packet analysis for CTF challenges and investigation.
adversarial-reviewer
Adversarial code review that assumes bugs exist and hunts for them. Use when asked to review code, find bugs, audit for correctness, stress-test a PR, or when someone says "tear this apart" or "what's wrong with this". Give no benefit of the doubt — every line is guilty until proven innocent.
cli-wiring
Bug class: Commands implemented in packages/squad-cli/src/cli/commands/ but never routed in cli-entry.ts.
investigate
Investigate a single EmDash issue end to end -- classify, choose a repro path, reproduce, diagnose, verify, and (only on an explicit maintainer fix directive) fix and confirm. Every verdict carries its evidence.
frontend-conventions
Coding conventions, architecture patterns, and testing rules for the SkillHub React frontend. Ensures agents follow Feature-Sliced Design and use the generated OpenAPI types.