huawei-cloud-modelarts-training-management SKILL.md skillA
huawei-cloud-modelarts-training-management from huaweicloud/huaweicloud-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-modelarts-training-management@git:20260903.c0620eaPins git:20260903.c0620ea 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/modelarts/huawei-cloud-modelarts-training-management/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260903.c0620ea, committed Sep 3, 2026
- First version recorded
- Jul 28, 2026
- Size
- 20,356 bytes
- Repository stars
- 59
- License
- MIT
Manage Huawei Cloud ModelArts training jobs and related resources through full lifecycle operations via hcloud CLI. Covers 52 API interfaces across 8 functional domains: training job management, algorithm management, training job tags, training experiments, training job events, model import, auto search (hyperparameter tuning), and training image save. All write operations require user confirmation before execution. Triggers include: "ModelArts training", "训练作业", "模型训练", "创建训练作业", "查询训练作业…
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
# Huawei Cloud ModelArts Training Management
> Full lifecycle management for ModelArts training jobs and related resources via hcloud CLI — 52 API interfaces across 8 functional domains.
---
## Overview
This skill enables users to manage Huawei Cloud ModelArts training jobs and related resources through the `hcloud` CLI. It covers the complete training lifecycle including training job CRUD, algorithm management, training experiments, auto search (hyperparameter tuning), model import, and training image save.
### Architecture
```
User Request → Agent → hcloud ModelArts <Operation> --cli-region={region} [--params] → Huawei Cloud ModelArts API
```
### Applicable Scenarios
- **Training Job Management**: Create, list, show, stop, delete training jobs; query logs, metrics, engines, flavors, quotas
- **Algorithm Management**: Create, list, show, update, delete training algorithms; publish to gallery
- **Training Job Tags**: Create, show, delete tags for training jobs
- **Training Experiments**: Create, list, show, update, delete, check training experiments
- **Training Job Events**: Query job events, stages, tasks; list system events and scheduled events
…Read the whole file at its exact version.
How to install
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-modelarts-training-management@sha256:a8c75dba2361a096The line at the top of this page pins the label git:20260903.c0620ea, 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.
[](https://markdownregistry.com/a/art_epdtkrlwyjwdabxd)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 28, 2026 and Sep 3, 2026, about one every 37 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260903.c0620ea latest | 2026-09-03 | c0620ea | 20,356 B | A | view · diff |
| git:20260728.f7a80b3 | 2026-07-28 | f7a80b3 | 9,385 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (20356 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
huaweicloud/huaweicloud-skills · 59 stars · license MIT · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_epdtkrlwyjwdabxd GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-modelarts-training-management GET https://markdownregistry.com/api/v1/blob/a8c75dba2361a096b6bbdab67956410d11657b528d75b44fe0450302e81e1356
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.