huawei-cloud-cloudrobo-inference-adapter SKILL.md skillA

huawei-cloud-cloudrobo-inference-adapter from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-inference-adapter@git:20261103.c6aca33

Pins git:20261103.c6aca33 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
huaweicloud/huaweicloud-skills
Path
skills/ai/cloudrobo/huawei-cloud-cloudrobo-inference-adapter/SKILL.md
Versions recorded
1
Latest version
git:20261103.c6aca33, committed Nov 3, 2026
Size
23,279 bytes
Repository stars
59
License
MIT

Guides adapting a VLA model's inference server interface to the CloudRobo standard interface/protocol. Use this skill when the user wants to create a compatible inference interface protocol for a model, or make a model compatible with the CloudRobo client library. Trigger conditions: "adapt inference interface", "inference service compatibility", "flattened interface", or any request to make a model server compatible with an external inference client library.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Inference Interface Adapter

## Overview

This skill guides converting a VLA model's inference interface into an
inference server that uses a **flattened linear format**, adapting to the
CloudRobo client library.

Core idea: the model's own inference interface format differs from the
CloudRobo standard communication format. Instead of modifying the model's
inference logic, add a thin adapter layer that converts between the
flattened linear format and the model's internal format.

### Fixed Protocol Contract

| Item | Convention |
|---|---|
| Transport | WSS (WebSocket over TLS) |
| Certificate | Self-signed certificate generated at runtime (cryptography lib, RSA 3072) |
| Serialization | msgpack (+ numpy extension) |
| Observation format | Flat dot-notation dict |
| Observation keys | `observation.images.{key}` (key derived from the model config, **not hardcoded**), `observation.state` (fixed field), `task` (fixed field) |
| Action response | `{"action": (T, D) float32}`, fixed field |
| Handshake | First frame after connect sends the metadata contract |
| Error | Send `traceback.format_exc()` string, close with `INTERNAL_ERROR` |

**Observation request example:**

```python
{
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-inference-adapter@sha256:155c5511d3f5b888

The line at the top of this page pins the label git:20261103.c6aca33, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_h7b4plqngcn4p5gk.svg)](https://markdownregistry.com/a/art_h7b4plqngcn4p5gk)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Nov 3, 2026.

versioncommittedcommitsizeaudit
git:20261103.c6aca33 latest2026-11-03 c6aca33 23,279 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (23279 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_h7b4plqngcn4p5gk
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-cloudrobo-inference-adapter
GET https://markdownregistry.com/api/v1/blob/155c5511d3f5b888e3d3b69be92c1631cef209ed9d0009426c55ecabbd3604c2

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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