.claude/skills/huawei-cloud-cloudrobo-trainRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Manage CloudRobo model training tasks and simulation reinforcement learning (SimRL) tasks — create pretrain (TRAIN_FROM_SCRATCH) and finetune (MODEL_TUNING) tasks with FFT/SFT/LORA/QLORA/DEEPSPEED methods; manage the full task lifecycle (create/read/update/delete/stop/restart/resume/draft); save and resubmit draft configs; count tasks by status; monitor execution stages, resource usage, training logs, signed URLs, and events; diagnose failures. SimRL tasks (simulation reinforcement learning) are managed via the sa…
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.claude/skills/huawei-cloud-cloudrobo-trainRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/huawei-cloud-cloudrobo-trainRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/huawei-cloud-cloudrobo-trainRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @huaweicloudskill/huawei-cloud-cloudrobo-trainclawhub inspect @huaweicloudskill/huawei-cloud-cloudrobo-train --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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sha256:4b9a2030778fd81555967f6405270796e0d2396c5d1cee2423dae105448c890areferences/acceptance-criteria.mdreferences/api-paths.mdreferences/cli-installation-guide.mdreferences/dataflow-diagram.mdreferences/iam-policies.mdreferences/sdk-quickstart.mdreferences/task-config-catalog.mdreferences/verification-method.mdscripts/test-cli-commands.shskill-card.mdSKILL.mdtemplates/test-vars.json## huawei-cloud-cloudrobo-train 1.0.1 - Initial public release for managing CloudRobo model training and simulation reinforcement learning (SimRL) tasks. - Supports full lifecycle management: create, read, update, delete, stop, restart, resume, and draft tasks. - Enables both TRAIN_FROM_SCRATCH (pretrain) and MODEL_TUNING (finetune) workflows with FFT/SFT/LORA/QLORA/DEEPSPEED methods. - Includes monitoring features: task status, execution stages, resource usage, training logs, events, and failure diagnostics. - SimRL tasks are managed via the same CLI with a dedicated flag, covering the same operations (except resume). - Provides detailed usage instructions and workflow guidance for creating and cloning training tasks.