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-contributor-onboard/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-contributor-onboard)<a href="https://agentmods.dev/skills/nvidia/nemoclaw/nemoclaw-contributor-onboard"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-contributor-onboard/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-contributor-onboard"><img src="https://agentmods.dev/badge/skills/nvidia/nemoclaw/nemoclaw-contributor-onboard.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector pass
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 | $0.00099 | $0.01164 |
| Opus 5 | $0.00049 | $0.00582 |
| Sonnet 5 | $0.00020 | $0.00233 |
| Haiku 4.5 | $0.00010 | $0.00116 |
Grade A, and why
nemoclaw-contributor-onboard 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 11d 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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboard a NemoClaw Contributor
Use the repository setup script as the executable source of truth. Do not duplicate its dependency, build, hook, CLI-exposure, or readiness logic in agent commands.
Establish Trust First
- Read the root
AGENTS.mdandCONTRIBUTING.mdcompletely. - Inspect the worktree and current branch without discarding or overwriting existing changes.
- Refresh the trusted
origin/mainreference, then compare the entire checkout/worktree diff against that up-to-date base before executing any checkout-local code. Include staged, unstaged, and untracked files; review lockfiles and all transitively executed source, not only the entry script or package manifests. - If any execution surface differs from trusted
origin/main, review the diff and obtain explicit approval before running it.
Route by Intent
- Readiness only: run
./scripts/dev-setup.sh --doctorand never run setup, repair, CLI exposure, runtime onboarding, or the pinned agent. Use./scripts/dev-setup.sh --doctor --jsonwhen a machine-readable report helps. - Initial checkout setup: run
./scripts/dev-setup.shfrom the repository root. - Explicit repository repair: run
./scripts/dev-setup.sh --repaironly when the user asks to repair or retry repository-local setup. - CLI exposure: after explicit approval, run
./scripts/dev-setup.sh --expose-cli. - Runtime onboarding: after explicit approval, run
./scripts/dev-setup.sh --with-runtime.
The default and repair modes may update repository-local dependencies, builds, hooks, and the root Python environment.
They must not create a gateway or sandbox or expose a host-visible nemoclaw command.
CLI exposure is an explicit opt-in that may use an npm link or a user-local shim.
Handle User-Controlled Changes
Pause and obtain explicit approval before installing or changing host packages, starting or replacing a container runtime, accepting a license, generating or registering a signing key, changing GitHub state, or changing global Git configuration.
What ships with it
2 files 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.
- 11d ago First seen · 91 lines · 99 tokens per session scan A 3bb0dd75b215
nemoclaw-contributor-onboard is a skill published in the GitHub repository NVIDIA/NemoClaw (22,427 stars, last pushed today), licensed Apache-2.0. It adds 99 tokens to every session and 1,164 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.
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