What is setup-workshop-nemoclaw?

A setup tool for running NVIDIA’s Build-an-Agent workshop as a JupyterLab environment inside a locked-down NemoClaw sandbox. JupyterLab is a browser-based workspace for running notebooks and code.

Use it to prepare the workshop inside the sandbox, install its dependencies, launch JupyterLab, and receive the access URL and connection commands.

It handles the environment setup and works around sandbox networking and launcher issues, so the workshop can be opened from a browser without running it directly on the host.

setup-workshop-nemoclaw — Skill for Claude Code by brevdev: A setup tool for running NVIDIA’s Build-an-Agent workshop as…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/brevdev/workshop-build-an-agent/setup-workshop-nemoclaw

Any agent

npx skills add brevdev/workshop-build-an-agent --skill setup-workshop-nemoclaw

Clone the repo

git clone --depth 1 https://github.com/brevdev/workshop-build-an-agent

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/brevdev/workshop-build-an-agent/setup-workshop-nemoclaw.svg)](https://agentmods.dev/skills/brevdev/workshop-build-an-agent/setup-workshop-nemoclaw)

Your own site

<a href="https://agentmods.dev/skills/brevdev/workshop-build-an-agent/setup-workshop-nemoclaw"><img src="https://agentmods.dev/badge/skills/brevdev/workshop-build-an-agent/setup-workshop-nemoclaw.svg" alt="Measured on agentmods" height="20"></a>

Per session 246 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 5,717 The whole file, excluding the scripts and references it only reads on demand.

Security scan B 2 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00246	$0.05717
Opus 5	$0.00123	$0.02858
Sonnet 5	$0.00049	$0.01143
Haiku 4.5	$0.00025	$0.00572

Measured 6d ago against content hash 520d2f470115, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade B, and why

setup-workshop-nemoclaw scanned grade B with 2 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 6d ago.

The scan reads SKILL.md. This mod also ships 9 executable files (assets/devx-jupyterapp-bridge/static/remoteEntry.js, scripts/neutralize_pip_cells.py, scripts/preflight.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

- Tile check without a browser: `curl -X POST http://127.0.0.1:8888/jupyterlab-app-launcher?token=… -d '{"method":"init_launcher"}'`

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:8888/lab` → `302`

.agents/skills/setup-workshop-nemoclaw/SKILL.md · 345 lines

How it starts

The opening of the file, as written. The whole thing — 345 lines — stays where its author put it; the contents beside it link to each section on GitHub.

setup-workshop-nemoclaw (in-sandbox side)

Sets up the NVIDIA Build an Agent workshop as an accessible JupyterLab instance inside an OpenShell/NemoClaw sandbox, then hands the user the port-forward + SSH commands and the token URL to open it in their browser.

This is one half of a two-skill pair:

Skill	Runs	Does
`setup-workshop-nemoclaw-operator`	on the sandbox host (outside)	egress policy, secrets staging, port-forward, lifecycle
this skill	inside the sandbox	venv + deps, netlink shim, launcher/bridge fixes, Jupyter launch, URL hand-off

Which side am I on?

Run the checks before doing anything. Inside the sandbox (use this skill): whoami → sandbox, /sandbox/ exists, docker/sudo are not found, and egress 403s come from the OpenShell proxy. On the host (use the operator skill instead): docker ps shows an openshell-<sandbox>-… container and the openshell CLI is on PATH.

When to use this skill

User wants to run / access / go through the Build an Agent workshop from this sandbox. The repo lives (or will be cloned) at /sandbox/workshop-build-an-agent, branch edwli-dev — stay on it.
Do NOT use the generic setup-workshop skill here — it is a bare-metal installer (nvwb + Docker + CUDA + sudo) for a GPU host. It fails in the sandbox by design, not by bug.

Operator prerequisites (the handoff contract)

One thing must be true before setup can succeed, and only the operator (outside the sandbox) can make it true. Verify with scripts/preflight.sh; if missing, send the operator the exact ask from references/operator-contract.md and stop until they confirm:

Egress policy allows: GET pypi.org + files.pythonhosted.org (installs); the NIM chat/embeddings routes on integrate.api.nvidia.com; POST /v1/retrieval/** on ai.api.nvidia.com (modules 2/3 reranker — NOT covered by the legacy /v1/ranking rule); POST /search on api.tavily.com (modules 1/2/5 web search); all methods on api.smith.langchain.com (module 3 + workshop-wide tracing); GET /encodings/** on openaipublic.blob.core.windows.net (module-7 tiktoken); GET registry.npmjs.org for the node binary (module-5 "Deep Agents Client" tile — without it demo/ can't npm install and the tile only ever serves its setup page); GET/POST/DELETE on mcp.tavily.com for node (module-2 PART 2A remote MCP — the shipped default); and — only if the repo is not yet cloned — git smart-HTTP on github.com scoped to the workshop repo. preflight.sh probes all of these and prints the exact ask for each gap. Not a prerequisite: NVIDIA_API_KEY. It is EXPECTED to be absent — the learner sets it in the workshop's Secrets Manager tile after launch, and preflight only WARNs about it. Leaving it unset is what makes that work: start-jupyter.sh sources secrets.env into the server env at launch and kernels inherit it, but load_dotenv() never overrides an already-set variable — so a key staged before launch would shadow every later Secrets Manager edit until a restart. Never accept a key through chat; if the operator does want one pre-seeded, they write it from the host with stage-nvidia-key.sh (a real nvapi-… key only — never COMPATIBLE_API_KEY, which is the agent's own sk-… proxy credential and yields a confusing 401).

Read the full file on GitHub · 345 lines

Files

What ships with it

15 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.

Changes

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.

6d ago First seen · 345 lines · 246 tokens per session scan B 520d2f470115

Subscribe to this mod's changes

setup-workshop-nemoclaw is a skill published in the GitHub repository brevdev/workshop-build-an-agent (133 stars, last pushed 18d ago), licensed Apache-2.0. It adds 246 tokens to every session and 5,717 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Building agents Learning and teaching

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

setup-workshop-nemoclaw