.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 @huaweiclouddev/huawei-cloud-cloudrobo-trainclawhub inspect @huaweiclouddev/huawei-cloud-cloudrobo-train --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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sha256:00d5407c439f01b3d211f635ac5530e5cb762ec5b95fe22a89a7477f036f386breferences/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.jsonhuawei-cloud-cloudrobo-train 1.0.0 - Initial release. - Manage CloudRobo model training and simulation reinforcement learning (SimRL) tasks. - Supports pretrain (TRAIN_FROM_SCRATCH) and finetune (MODEL_TUNING) with FFT, SFT, LORA, QLORA, and DEEPSPEED methods. - Full task lifecycle management: create, read, update, delete, stop, restart, resume, draft handling, and stats. - Monitor key metrics: execution stages, resource usage, training logs, signed URLs, and events; supports failure diagnosis. - SimRL tasks controlled via `--sim-rl` flag, covering all lifecycle and monitoring functions except resume.