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.
npx skills add huaweicloud/huaweicloud-skills --skill huawei-cloud-cloudrobo-r2cgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote 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/huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-r2c)<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/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/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>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 | $0.00144 | $0.05075 |
| Opus 5 | $0.00072 | $0.02537 |
| Sonnet 5 | $0.00029 | $0.01015 |
| Haiku 4.5 | $0.00014 | $0.00507 |
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.
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 — 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 ofexport 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
IRobotHardwareAdapterclasses andConfigurableDeviceTranslatormappings 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)
--bundleaccepts the access-config zip directly (or an extracted directory); the SDK resolves the certificate paths insidezenoh.json(which references acerts/-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.
What ships with it
10 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.
- references/acceptance-criteria.md 6.1 KB
- references/cli-installation-guide.md 7.4 KB
- references/client-config-catalog.md 9.7 KB
- references/custom-adapter-guide.md 24 KB
- references/dataflow-diagram.md 5.3 KB
- references/iam-policies.md 5.9 KB
- references/robot-config-catalog.md 10.0 KB
- references/verification-method.md 7.4 KB
- scripts/test-cli-commands.sh 4.4 KB runs code
- templates/test-vars.json 5.2 KB
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.
- 2d ago First seen · 362 lines · 144 tokens per session scan A a1500a47111c
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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