alibabacloud-ecs-gpu-diagnosisDiagnose GPU issues on Alibaba Cloud ECS GPU instances: GPU device status, driver issues, and GPU hardware failures. Use when users ask to check the GPU status of their GPU instances, detect whether the GPU device is visible, verify that the GPU driver is installed correctly, or troubleshoot GPU anomalies such as GPU not visible or deep learning task failures. Run Console Diagnosis or Cloud Assistant Diagnosis (RunCommand) to detect GPU hardware failures, perform batch diagnosis of GPU servers, or create scheduled (periodic) diagnosis tasks via CreateCommand and InvokeCommand with Cron. Single-instance diagnosis runs Console Diagnosis and Cloud Assistant Diagnosis in parallel; batch and scheduled diagnosis use Cloud Assistant Diagnosis only. Supports streaming output of diagnostic results.
Install via ClawdBot CLI:
clawdbot install sdk-team/alibabacloud-ecs-gpu-diagnosisGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses system directories or attempts privilege escalation
sudo mvCalls external URL not in known-safe list
https://help.aliyun.com/document_detail/108460.htmlAI Analysis
The skill performs legitimate Alibaba Cloud ECS GPU diagnostics using the official CLI, with no evidence of credential harvesting, data exfiltration, or hidden malicious instructions. The identified signals relate to standard CLI installation steps and documentation URLs, which are consistent with the skill's stated purpose.
Audited Apr 17, 2026 · audit v1.0
Generated Sep 27, 2026
A company migrates deep learning workloads to Alibaba Cloud ECS GPU instances. After migration, training scripts fail because the instance cannot see the GPU device. The skill diagnoses GPU device status and driver issues via the ECS diagnostic report.
An AI team runs distributed training on ECS GPU instances but jobs crash intermittently. The skill initiates a GPU diagnosis, polls for results, and reports hardware or driver anomalies with recommended actions.
An SRE team wants to proactively monitor GPU instance health across multiple regions. They integrate this skill into their AIOps pipeline to detect GPU hardware failures before they impact production.
A managed service provider offering GPU-as-a-service needs to quickly triage customer reports of GPU anomalies. The skill validates instance ID, region, and OS, then creates a diagnostic report to identify hardware failures.
A financial institution running risk models on GPU instances experiences performance degradation. The skill performs a structured, step-by-step diagnosis to determine if the issue is driver-related or hardware-related, meeting compliance requirements.
Alibaba Cloud offers this skill as part of an AIOps add-on service for ECS GPU customers, providing automated GPU diagnostics and remediation recommendations. It reduces support tickets and improves customer satisfaction.
Enterprises with large GPU fleets purchase a support contract that includes this diagnostic skill for proactive and reactive GPU issue resolution. It ensures high availability for critical AI workloads.
Managed service providers license this skill to offer GPU diagnostic capabilities to their customers. It differentiates their GPU cloud offerings and reduces mean time to resolution.
💬 Integration Tip
Ensure Alibaba Cloud CLI is installed and configured with AccessKey, and enable AI-Mode before running the skill. Validate instance ID format and region using describe-regions, and confirm the instance OS is Linux before creating a diagnostic report.
Scored Oct 14, 2026
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