Skills modelarts-skill
📦

modelarts-skill

v1.0.0 Content revision r2 Medium Risk ⚙️ External commands

Navigate Huawei Cloud ModelArts Operations

ModelArts resources span many services and operational workflows. This skill provides a documented routing map for selecting the relevant service area.

Supports: Claude Codex Code(CC)
📊 72 Adequate

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
Review the Skillstore skill "modelarts-skill" from https://skillstore.io/skills/modelarts-agent-huawei-cloud-modelarts-skill.md and its manifest at https://skillstore.io/api/skills/modelarts-agent-huawei-cloud-modelarts-skill/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

Your Agent should still show its plan and request any confirmation required by the security policy.

Test it

Using "modelarts-skill". Where should I look for scaling a node group?

Expected outcome:

Use the documented node pool area for scaling node pools. The referenced node pool guide is not included in this package.

Using "modelarts-skill". Which areas cover a new online inference service and its network?

Expected outcome:

  • Use the inference v2 area for the newer online service workflow.
  • Use the VPC area for virtual networks, subnets, and security groups.
  • Verify all steps externally because the referenced guides and implementation are absent.

Security Audit

Medium Risk
v5 • 8/9/2026 Open versioned report

All 16 command-execution findings are false positives caused by Markdown backticks in fences, identifiers, and links. However, the documented credential protections cannot be verified because the referenced implementation files are absent.

2
Files scanned
180
Lines analyzed
0
Review items
0
False positives ignored

Confirmed security concerns (1)

Medium
Unverifiable Credential-Handling Assurance
The skill promises that credentials never reach the language model and cites auth_manager.py, but the audited package contains no supporting implementation.
The security assurance and implementation reference are explicit, while the audited two-file package contains only SKILL.md and README.md.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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Academic citations (APA · BibTeX · CFF)

APA citation

modelarts-agent. (2026). modelarts-skill security audit report (audit version 5) [Author version 1.0.0]. Skillstore. https://skillstore.io/skills/modelarts-agent-huawei-cloud-modelarts-skill/audits/5

BibTeX citation

@techreport{modelarts-agent-modelarts-agent-huawei-cloud-modelarts-skill-2026, author = {modelarts-agent}, title = {modelarts-skill security audit report (audit version 5)}, institution = {Skillstore}, year = {2026}, number = {5}, url = {https://skillstore.io/skills/modelarts-agent-huawei-cloud-modelarts-skill/audits/5}, note = {Author version 1.0.0} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "modelarts-skill security audit report (audit version 5)" version: "1.0.0" type: report authors: - name: "modelarts-agent" date-released: "2026-08-09" url: "https://skillstore.io/skills/modelarts-agent-huawei-cloud-modelarts-skill/audits/5" identifiers: - type: other value: "skillstore:modelarts-agent-huawei-cloud-modelarts-skill:audit:5" description: "Skillstore immutable audit report identifier"

Compare variants

2 installable variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score
modelarts-agent Recommended

modelarts-agent-modelarts-skill

Skillstore Score 80
Evidence Confidence Medium
Skillstore usage 6
Updated

2026-08-21

modelarts-agent-huawei-cloud-modelarts-skill

Skillstore Score 72
Evidence Confidence High
Skillstore usage 9
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
100
Maintainability
87
Content
69
Community
83
Spec Compliance

What You Can Build

Plan Notebook Operations

Identify the documented area for notebook lifecycle, images, flavors, authentication, and OBS storage.

Map Training and Inference Tasks

Separate training workflows from versioned inference service operations before implementation.

Review Platform Administration Scope

Survey resource pools, node pools, workspaces, quotas, networking, keypairs, and Lite Server operations.

Try These Prompts

Find a Service Area
Which documented ModelArts service area covers [task]? State the relevant module and the package limitation.
Outline a Workflow
Outline the documented workflow areas for [goal]. Separate available documentation from missing implementation details.
Compare Inference Versions
Compare the documented ModelArts inference v1 and v2 capabilities for [service need]. Identify unanswered implementation questions.
Assess an Operations Plan
Review this ModelArts operations plan: [plan]. Map each step to a documented module, flag destructive actions, and identify missing verification.

Best Practices

  • Verify required Huawei Cloud permissions before planning any operation.
  • Treat create, delete, stop, scale, and authorization changes as confirmation-required actions.
  • Validate all guidance against current Huawei Cloud documentation and available implementation.

Avoid

  • Do not assume the listed modules or reference files are included.
  • Do not expose access keys, secret keys, or security tokens in prompts.
  • Do not execute destructive cloud changes from this documentation alone.

Frequently Asked Questions

Does this package execute ModelArts operations?
No. The audited package contains documentation only and includes no executable integration.
Which ModelArts areas are documented?
It catalogs notebooks, pools, training, inference, administration, storage, networking, keys, images, and Lite Server operations.
Are the linked reference guides included?
No. The audited package contains only SKILL.md and README.md.
How does authentication work?
The document describes notebook detection and local environment variables, but no authentication implementation is included.
Can I rely on the credential protection claim?
No. Verify credential isolation independently because the cited authentication code is absent.
Does it support inference v1 and v2?
The document lists both versions, but their referenced guides and implementation are not included.

Developer Details

License

MIT

Author version

v1.0.0

Skillstore revision

r2

Ref

02be9409c79ca1183f7844009c14d9df684d0cf9

Maintenance freshness

8/11/2026

Usage

6 downloads · 100 views

File structure

📄 README.md

📄 SKILL.md