ros2

ros2 is a skill for Claude Code, Codex from nebius/nebius-physical-ai. It costs 43 tokens per session (684 once invoked), scanned A, original, Apache-2.0.

A ROS 2 support guide for checking whether a usable ROS 2 Jazzy environment is present and for planning related deployment specifications. ROS 2 is software used to connect and coordinate components in robot systems; the listed bridge, bag conversion, and fleet adapter features are not implemented.

In plain words
What is it for?
Use it to run the ROS 2 Jazzy prerequisite check or create deployment plans for bridge, bag, and Open-RMF fleet work without executing ROS 2 code.
Why use it?
It prevents a local or container-only check from being mistaken for proof that a remote robot is ready. It also makes clear which operations are real and which are only planning outputs.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to run the ROS 2 Jazzy prerequisite check or create deployment plans for bridge, bag, and Open-RMF fleet work without executing ROS 2 code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nebius/nebius-physical-ai/ros2
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.

Any agent
npx skills add nebius/nebius-physical-ai --skill ros2
Clone the repo
git clone --depth 1 https://github.com/nebius/nebius-physical-ai

Made for: Claude Code, Codex.

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.

agentmods badge for ros2

README.md
[![agentmods](https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/ros2/github.svg)](https://agentmods.dev/skills/nebius/nebius-physical-ai/ros2)
Your own site
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/ros2"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/ros2/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.

agentmods 80×15 button for ros2

Your own site · 80×15
<a href="https://agentmods.dev/skills/nebius/nebius-physical-ai/ros2"><img src="https://agentmods.dev/badge/skills/nebius/nebius-physical-ai/ros2.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.00684
Opus 5.5 $0.00017 $0.00274
Sonnet 5.5 $0.00009 $0.00137
Haiku 4.5 $0.00004 $0.00068

Measured 11d ago against content hash afce6d90e6d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ros2 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.

skills/tools/ros2/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ROS 2

ROS 2 is the robotics middleware tool for prerequisite detection and deployment planning.

The toolRef intentionally exposes only what is real: the preflight command detects whether a usable ROS 2 Jazzy environment is present (ros2 CLI on PATH, ROS_DISTRO exactly jazzy, rclpy importable) and fails fast with a remediation message when it is not. Bridge (bag/MCAP <-> topics), bag conversion, and the Open-RMF fleet adapter are not implemented and are not exposed. Deployment planning (stage specs, Jetson Thor target) lives in the pipeline module, which emits specs without executing ROS 2 code.

Preflight measures the environment of its own process. Direct CLI use measures the machine where it runs; a workflow measures its task container. Select an image with ROS 2 Jazzy installed and sourced through the workflow resource image or image override. There is no built-in ROS 2 image route, and the default CPU image will report missing prerequisites. This tool never probes a remote robot host or certifies that host from a pod-local result.

Interfaces

  • CLI: npa workbench ros2 preflight --help
  • Python SDK (workbench-first): npa.workbench.ros2 (preflight)
  • Workflow module: npa.workflows.byof.ros2_pipeline (stage specs, Jetson Thor deploy target, argparse entrypoint)
  • Catalog toolRef: workbench.ros2.preflight (python3 -m npa.workflows.byof.ros2_pipeline --preflight)

Conventions

  • The CLI lives at npa.cli.workbench.ros2 (multi-command package form for new tools); the SDK surface lives at npa.workbench.ros2 and does not go through make_cli_wrapper.
  • Targets ROS 2 Jazzy (SUPPORTED_ROS_DISTRO = "jazzy"); Jetson Thor nodes run Jazzy + Isaac ROS inside the runtime-fetched container.

Native validation

In an operator-selected Jazzy runtime, source /opt/ros/jazzy/setup.bash and install NPA into a Python environment that can import the native rclpy package:

NPA_INTEGRATION_E2E=1 NPA_ROS2_PREFLIGHT_LIVE=1 \
  PYTEST_DISABLE_PLUGIN_AUTOLOAD=1 \
  npa/.venv/bin/python -m pytest npa/tests/e2e/test_ros2_preflight_live.py -q

Read the full file on GitHub · 60 lines

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.

  1. 11d ago First seen · 60 lines · 43 tokens per session scan A afce6d90e6d5

Subscribe to this mod's changes

ros2 is a skill published in the GitHub repository nebius/nebius-physical-ai (50 stars, last pushed today), licensed Apache-2.0. It adds 43 tokens to every session and 684 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-10-11.

Related

Other skills, from other repositories

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

jetson-diagnostic

Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.

NVIDIA/skills · 30 tokens

holoscan-install-wheel

Install Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.

NVIDIA/skills · 34 tokens

offensive-z-wave

Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…

SnailSploit/Claude-Red · 113 tokens

doca-socket-relay

Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint…

NVIDIA/skills · 236 tokens

hsb-flash

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must…

NVIDIA/skills · 94 tokens