Home / huaweicloud / huaweicloud-skills · skills/ai/optverse/huawei-cloud-optv-solver-assistant/SKILL.md · GitHub

huawei-cloud-optv-solver-assistant skillA

huawei-cloud-optv-solver-assistant is agent-read markdown (skill) from huaweicloud/huaweicloud-skills: 1. 通过OptVerse决策引擎完成数学规划问题的需求分析、建模、数据校验、求解和资产发布全流程; 2. 适用于运筹优化场景(如设施选址、路径规划、生产排程等),用户提供需求分析文件和数据文件,通过多轮对话与决策引擎交互完成求解; 3. 触发词:OptVerse求解助手、决策引擎、数学规划建模、运筹优化求解、需求分析建模、天筹工具链、设施选址优化、模型发布.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 1. Overview

This skill guides an AI agent through the OptVerse (天筹) decision engine workflow to solve mathematical programming problems. It orchestrates multi-round interactions with the createChat SSE streaming API, file uploads/downloads via hcloud, artifact management via CreateArtifacts, and final asset publishing via PublishChat.

## 1.1 Architecture

```
User                    Agent                    OptVerse Service
 |                        |                            |
 |  Requirement file      |                            |
 |----------------------->|                            |
 |                        |  UploadFile (hcloud)       |
 |                        |--------------------------->|
 |                        |  chat_id                  |
 |                        |<---------------------------|
 |                        |                            |
 |                        |  createChat Round 1 (SSE) |
 |                        |  domain_type + filenames  |
 |                        |--------------------------->|
 |                        |  type=file artifacts       |
 |                        |<---------------------------|
…

Read the whole file at its exact version.

How to install

Latest version
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant@git:20260920.f6154ca
Exact content
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant@sha256:9b395551b5de64da

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_v4lylubd6tpu23wd.svg)](https://markdownregistry.com/a/art_v4lylubd6tpu23wd)

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Versions

versioncommittedcommitsizeaudit
git:20260920.f6154ca latest2026-09-20 f6154ca 21,249 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (21249 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 · 50 stars · license MIT · pushed 2026-09-24 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_v4lylubd6tpu23wd
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-optv-solver-assistant
GET https://markdownregistry.com/api/v1/blob/9b395551b5de64da6c07812a7b533fb6a620d237bd62de13dc8625e56f0e94c7

Your agent 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.

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