.claude/skills/huawei-cloud-cloudrobo-inferRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Manage CloudRobo inference services — deploy a model into a managed inference service, list/query deployed services and their logs, start/stop a running service, update or delete a service, and orchestrate the 'wait-deploy' convenience flow that polls a service until it finishes deploying. Inference services consume models produced by cloudrobo-train and are consumed by robo-dispatcher when dispatching embodied tasks. Triggers include: infer, inference, model deployment, deploy model, inference service, service de…
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.claude/skills/huawei-cloud-cloudrobo-inferRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-cloudrobo-inferRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-cloudrobo-inferRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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-cloudrobo-inferclawhub inspect @huaweiclouddev/huawei-cloud-cloudrobo-infer --version 1.0.0This 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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sha256:32b6bd1e1e7dc6c7fb3a7e7f5298c13697d7910da0ca3b5c8562347f55359717references/acceptance-criteria.mdreferences/cli-installation-guide.mdreferences/dataflow-diagram.mdreferences/iam-policies.mdreferences/service-config-catalog.mdreferences/validation-rules.mdreferences/verification-method.mdscripts/test-cli-commands.shskill-card.mdSKILL.mdtemplates/test-vars.jsonInitial release of the huawei-cloud-cloudrobo-infer skill. - Manage the full lifecycle of CloudRobo inference services: deploy, monitor, start/stop, update, and delete services. - Supports model deployment workflows, including interactive parameter resolution and workspace/model selection. - Provides wait-deploy functionality to poll and report on service deployment status. - Enables service logs querying with time range and keyword filters. - Designed for integration with cloudrobo-train (model producer) and robo-dispatcher (service consumer). - Comprehensive prerequisites and guided workflows included for first-time setup.