.claude/skills/huawei-cloud-sac-yoloRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
"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"
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.claude/skills/huawei-cloud-sac-yoloRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-sac-yoloRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-sac-yoloRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @erickeyhu-hug/huawei-cloud-sac-yoloclawhub inspect @erickeyhu-hug/huawei-cloud-sac-yolo --version 1.0.1This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:60d5b363c9868c3ec5ba94a26e7ff354e23d74e23c48ffee3859f51b619e1ee6demo/example-input.jsonreferences/acceptance-criteria.mdreferences/cli-installation-guide.mdreferences/iam-policies.mdreferences/related-commands.mdreferences/verification-method.mdscripts/download_tf_template_file.pyscripts/extract_sac_deploy_info.pyscripts/list_tf_variables.pyscripts/normalize_tf_providers.pyscripts/playwright_utils.pyscripts/templates/extract_sac_deploy_info.jsskill-card.mdSKILL.mdtemplates/terraform.tfvars.template- Initial release of the Huawei Cloud YOLO Training Platform deployment skill. - Enables guided, end-to-end deployment of GPU-powered YOLO training environments on Huawei Cloud using Terraform and Python scripts. - Strong focus on security: never expose or request credentials in chat; always require user confirmation before operations. - Includes step-by-step workflow: from solution extraction and template download to manual security group configuration and post-deployment verification. - Output and script interactions standardized to JSON for integration and clarity. - Comprehensive documentation of prerequisites, parameters, and best practices included.