huawei-cloud-cloudrobo-r2c

huawei-cloud-cloudrobo-r2c is a skill for Claude Code, Codex from huaweicloud/huaweicloud-skills. It costs 144 tokens per session (5,075 once invoked), scanned A, original, MIT.

A long-running robot-side program that connects physical robot hardware to Huawei Cloud through a messaging network. It reads sensor data, sends it to the cloud, receives cloud commands, and applies them through a hardware adapter using encrypted client authentication.

In plain words
What is it for?
Use it to start the robot edge client, connect supported hardware, translate sensor and control messages, and guide development of adapters for robots not covered by built-in hardware support.
Why use it?
It provides the data connection between a robot and cloud services without covering robot registration or certificate creation.

Skill for Claude CodeCodex

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

Good fit Use it to start the robot edge client, connect supported hardware, translate sensor and control messages, and guide development of adapters for robots not covered by built-in hardware support.

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Install with agentmods
npx agentmods add skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c
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 huaweicloud/huaweicloud-skills --skill huawei-cloud-cloudrobo-r2c
Clone the repo
git clone --depth 1 https://github.com/huaweicloud/huaweicloud-skills

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 huawei-cloud-cloudrobo-r2c

README.md
[![agentmods](https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c/github.svg)](https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c)
Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,075 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 $0.00144 $0.05075
Opus 5 $0.00072 $0.02537
Sonnet 5 $0.00029 $0.01015
Haiku 4.5 $0.00014 $0.00507

Measured 2d ago against content hash a1500a47111c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

huawei-cloud-cloudrobo-r2c 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 2d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/test-cli-commands.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.

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/ai/cloudrobo/huawei-cloud-cloudrobo-r2c/SKILL.md · 362 lines

How it starts

The opening of the file, as written. The whole thing — 362 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Windows / PowerShell: Examples use bash syntax. To run on Windows PowerShell:

  • Flatten \ line continuations to a single line, or end lines with a backtick.
  • Set env vars with $env:NAME="value" instead of export NAME="value".
  • Single-quoted JSON '{"a":"b"}' works as-is.

Overview 概述

The cloudrobo-r2c skill operates the R2C (Robot-to-Cloud) data-plane SDK. Unlike other cloudrobo skills that call REST APIs via cloudrobo-service, this skill runs long-lived data-plane processes that use Zenoh pub/sub with Protobuf serialization and mTLS authentication. It covers one CLI command: r2c client (robot edge client).

Applicable scenarios:

  • Robot edge client — Start the robot-side process that bridges physical hardware to the cloud via Zenoh. Reads sensor observations from a hardware adapter, translates to R2C Protobuf messages, publishes to Zenoh, subscribes to cloud actions, translates back, and executes on hardware.
  • Custom adapter development — Guide developers through implementing custom IRobotHardwareAdapter classes and ConfigurableDeviceTranslator mappings for robots not in the built-in adapter list.

Architecture:

                          Zenoh pub/sub (mTLS)
  ┌─────────────┐  observations  ┌──────────────────┐
  │ Robot Edge  │ ─────────────► │                  │
  │ Client      │                │  Zenoh Router    │
  │ (r2c client)│ ◄───────────── │                  │
  └──────┬──────┘     actions    └──────────────────┘
         │
  ┌──────▼──────┐
  │ Hardware     │
  │ Adapter      │
  │ (robot arm,  │
  │  gripper...) │
  └─────────────┘

  Credential Bundle (from robot skill export-certificate)
  ├── device_info.json   (account_id, robot_id, permission_role)
  ├── zenoh.json         (mode, endpoints, mTLS config)
  ├── ca.pem             (CA certificate)
  ├── server_cert.pem    (client certificate — note: named server_cert.pem in the exported bundle)
  └── server_key.pem     (private key, optionally encrypted)

--bundle accepts the access-config zip directly (or an extracted directory); the SDK resolves the certificate paths inside zenoh.json (which references a certs/-style layout) automatically. Do not manually rename the cert files.

The R2C data plane is decoupled from the CloudRobo REST API. The platform's cloudrobo-service handles robot registration and certificate export (covered by the robot skill); the R2C SDK consumes the exported credential bundle to establish mTLS-authenticated Zenoh sessions.

Read the full file on GitHub · 362 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. 2d ago First seen · 362 lines · 144 tokens per session scan A a1500a47111c

Subscribe to this mod's changes

huawei-cloud-cloudrobo-r2c is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (49 stars, last pushed yesterday), licensed MIT. It adds 144 tokens to every session and 5,075 once invoked, about $0.0007 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 2026-09-10.

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