Real Skill packageSource verifiedClawHub registry

huawei-cloud-sac-yolo

"Deploy YOLO training platform on Huawei Cloud with GPU ECS via Terraform. Use when building or managing a YOLO GPU training environment. Trigger: deploy YOLO, YOLO training, GPU training, 部署YOLO, YOLO训练, GPU训练, 视觉模型训练"

Identity and source

Publisher attributionhuaweicloud-skills-teamregistry owner unverified by skillvetai
Functional categoryDevOps, Cloud & Observabilityautomatically inferred · 70% rule confidence
Package forminstruction with code15 recorded files
Canonical sourceClawHub registryclawhub:huaweiclouddev:huawei-cloud-sac-yolo
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/23/2026.claude/skills/huawei-cloud-sac-yolo

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/23/2026.agents/skills/huawei-cloud-sac-yolo

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/23/2026skills/huawei-cloud-sac-yolo

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @huaweiclouddev/huawei-cloud-sac-yolo
clawhub inspect @huaweiclouddev/huawei-cloud-sac-yolo --version 1.0.1

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
14 / 15 inspected as text
Checked
8/23/2026, 2:01:35 AM
Scanner
0.1.3
Policy
1.0.3
6 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
  • filesystem write — automatically inferred
  • credential access — automatically inferred
  • browser control — automatically inferred
6 dependency and API indicators
  • api: clawhub.ai
  • api: documentation-samples.obs.cn-north-4.myhuaweicloud.com
  • api: releases.hashicorp.com
  • api: support.huaweicloud.com
  • api: www.huaweicloud.com
  • api: www.python.org
External clawhub result: suspicious

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/22/2026, 2:33:55 PM
Release binding
Matches this record
  • skillspector: suspicious
  • llm: suspicious

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:9e500fe68b19537f4e733453ad68422121d6732866377dc8f3ba1a6207d42384
Show up to 15 recorded paths
  • demo/example-input.json
  • references/acceptance-criteria.md
  • references/cli-installation-guide.md
  • references/iam-policies.md
  • references/related-commands.md
  • references/verification-method.md
  • scripts/download_tf_template_file.py
  • scripts/extract_sac_deploy_info.py
  • scripts/list_tf_variables.py
  • scripts/normalize_tf_providers.py
  • scripts/playwright_utils.py
  • scripts/templates/extract_sac_deploy_info.js
  • skill-card.md
  • SKILL.md
  • templates/terraform.tfvars.template

Source changelog

- Initial release of the Huawei Cloud YOLO Training Platform deployment guide for Terraform. - Provides step-by-step instructions for provisioning GPU ECS, VPC, EIP, EVS, and CBR resources on Huawei Cloud for YOLO model training. - Core workflow covers solution extraction, template download, variable review, user-confirmed deployment, manual security group setup for the YOLO UI, verification, and cleanup. - Includes strong security guidelines: do not expose AK/SK, never prompt for credentials in chat, always require user confirmation before modification actions. - Outputs and scripts deliver JSON results for easy consumption and review. - Lists best practices, verification steps, and references for a secure, repeatable deployment.