huawei-cloud-modelarts-training-diagnosis SKILL.md skillA
huawei-cloud-modelarts-training-diagnosis 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-diagnosis@git:20260822.c54c1bcPins git:20260822.c54c1bc 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-diagnosis/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260822.c54c1bc, committed Aug 22, 2026
- First version recorded
- Jul 23, 2026
- Size
- 14,455 bytes
- Repository stars
- 59
- License
- MIT
Huawei Cloud ModelArts training job fault diagnosis skill. Uses hcloud CLI to call ModelArts training job log/event APIs, analyzes training job failures/timeouts/stuck jobs, locates customer training code issues, and provides diagnosis conclusions with fix suggestions and confidence levels. Scenarios: training job failure (status.phase=Failed), timeout (Timeout), abnormal (Abnormal), stuck jobs. Triggers: training job failure, training job timeout, training job stuck, ModelArts training…
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
# ModelArts Training Job Fault Diagnosis
## Overview
This skill provides automated fault diagnosis for Huawei Cloud ModelArts training jobs. It calls ModelArts log and event APIs via hcloud CLI to collect runtime information, analyzes training job failures/timeouts/stuck jobs, and outputs diagnosis conclusions with fix suggestions and confidence levels.
### Architecture
```
User Input
↓
Phase 1: Task Discovery (ListTrainingJobs)
↓
Phase 2: Status Assessment (ShowTrainingJobDetails)
↓
[Early Exit if traceback found in status.task_statuses[].message]
↓ (if no traceback)
Phase 3: Information Collection
├─ Main Path: ListTrainingJobEvents, ListTrainingJobStages
└─ Extended Path: ShowTrainingJobLogsPreview, ShowObsUrlOfTrainingJobLogs
↓
Phase 4: Analysis (confidence-based inference)
↓
Phase 5: Output (diagnosis report + fix suggestions)
```
### Applicable Scenarios
- Training job failure (status.phase = "Failed")
- Training job timeout (status.phase = "Timeout")
- Training job abnormal (status.phase = "Abnormal")
- Training job stuck (running long time with no progress)
- Resource shortage causing training failure
### Typical Use Cases
…Read the whole file at its exact version.
How to install
mdr add huaweicloud/huaweicloud-skills/huawei-cloud-modelarts-training-diagnosis@sha256:496fe91bcbd5b188The line at the top of this page pins the label git:20260822.c54c1bc, 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_4epddsb2hzqb5s2n)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jul 23, 2026 and Aug 22, 2026, about one every 31 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260822.c54c1bc latest | 2026-08-22 | c54c1bc | 14,455 B | A | view · diff |
| git:20260723.0147ef9 | 2026-07-23 | 0147ef9 | 14,388 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 (14455 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_4epddsb2hzqb5s2n GET https://markdownregistry.com/api/v1/resolve?ref=huaweicloud/huaweicloud-skills/huawei-cloud-modelarts-training-diagnosis GET https://markdownregistry.com/api/v1/blob/496fe91bcbd5b18861c447660a7071abd3dd0c286a8d2c90ff098ff89f5e7e4b
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.