huawei-cloud-sac-intl-find-and-deploy SKILL.md skillA

huawei-cloud-sac-intl-find-and-deploy 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-sac-intl-find-and-deploy@git:20261030.b95ca4e

Pins git:20261030.b95ca4e 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/solution/sac/huawei-cloud-sac-intl-find-and-deploy/SKILL.md
Versions recorded
1
Latest version
git:20261030.b95ca4e, committed Oct 30, 2026
Size
15,058 bytes
Repository stars
59
License
MIT

1. Find and deploy any Huawei Cloud international SAC (Solution as Code) solution end-to-end via Terraform using a public catalog lookup. 2. Find capability: search the live SAC catalog by business term or product name (concept-aware), present matching solutions first, then ALL regions for the picked solution. 3. Deploy capability: after the user confirms solution, variant and region, collect temporary credentials (env vars, never in chat) and run the corresponding Terraform template through…

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

# SAC Intl Find and Deploy

## Overview

Two capabilities, one skill:

1. **Find** — the user describes a business outcome (e.g. 模型网关, agent方案, 知识库, Dify). The skill searches the live public catalog, shows matching **solution names first**, then lists **every region** for the picked solution. The solution count is whatever the catalog currently holds (never hardcode it — the script reports `total_solutions`).
2. **Deploy** — after the user explicitly confirms solution + variant + region, the skill checks credentials, downloads the template, and provisions resources via Terraform with confirmation gates.

**Architecture:** Per-solution ECS/VPC/Subnet/Security Group/EIP pattern defined by the downloaded `.tf/.tf.json` template. Provider sources normalized to `huaweicloud/huaweicloud` and `hashicorp/kubernetes`.

**Tool chain:** Python 3.8+ (helper scripts) + Terraform 1.5+ (declarative deployment). No KooCLI. The catalog is always fetched fresh from the public OBS `sac_intl.json` (3 retries, never falls back to stale local data). The script reports the catalog's `generated_at` timestamp — always relay it to the user.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-sac-intl-find-and-deploy@sha256:7c17276b365b1879

The line at the top of this page pins the label git:20261030.b95ca4e, 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_t6cji5y6wvu3ibmr.svg)](https://markdownregistry.com/a/art_t6cji5y6wvu3ibmr)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 30, 2026.

versioncommittedcommitsizeaudit
git:20261030.b95ca4e latest2026-10-30 b95ca4e 15,058 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 (15058 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_t6cji5y6wvu3ibmr
GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-sac-intl-find-and-deploy
GET https://markdownregistry.com/api/v1/blob/7c17276b365b1879c1ac2cbea3b9c92aa1d0b0458ccba6fcda6ffd2e470302a7

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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