k8s-debugDiagnose and fix Kubernetes pods, CrashLoopBackOff, Pending, DNS, networking, storage, and rollout failures with kubectl.
Install via ClawdBot CLI:
clawdbot install qq280948982/k8s-debugGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://kubernetes.default.svc/apiAI Analysis
The skill's external API call to 'https://kubernetes.default.svc/api' is a standard, internal Kubernetes service endpoint used for cluster diagnostics, consistent with the skill's stated purpose. While the skill contains potentially disruptive commands, they are explicitly documented with safety rules and confirmation requirements, indicating a focus on controlled debugging rather than hidden malicious behavior.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
An online retailer's checkout service pods are stuck in CrashLoopBackOff after a deployment, causing transaction failures. The skill helps diagnose application errors, resource limits, or misconfigured environment variables by analyzing pod logs and events to restore service quickly.
A healthcare SaaS provider experiences intermittent DNS failures in pods handling patient data, leading to service disruptions. The skill troubleshoots network policies, service configurations, and cluster DNS settings to ensure reliable connectivity and compliance with uptime SLAs.
A fintech company's deployment rollout for a new microservice is stuck, preventing updates to payment processing. The skill identifies issues like image pull errors, resource quotas, or readiness probe failures, enabling a safe rollback or fix to maintain transaction integrity.
A media streaming platform's pods fail to mount PersistentVolumeClaims for video content storage, causing playback errors. The skill diagnoses storage class misconfigurations, node affinity, or capacity limits to restore access and prevent content delivery delays.
An IoT platform's Kubernetes cluster shows degraded health after a node update, affecting device data ingestion. The skill performs cluster-wide health checks to pinpoint node pressure, control plane issues, or networking problems, ensuring minimal downtime for real-time data processing.
Cloud providers or DevOps consultancies offer managed Kubernetes services with this skill integrated for proactive monitoring and rapid incident response. It reduces support tickets by enabling automated diagnostics, leading to higher customer retention and upsell opportunities for premium support tiers.
A SaaS platform for DevOps teams incorporates this skill as a feature to streamline Kubernetes troubleshooting. It attracts enterprises by reducing mean time to resolution (MTTR) for cluster issues, generating revenue through per-user or per-cluster licensing models.
Large organizations with in-house IT teams use this skill to empower developers and SREs with self-service debugging capabilities. It cuts operational costs by minimizing escalations to senior engineers and improves system reliability, indirectly boosting revenue through reduced downtime.
💬 Integration Tip
Integrate this skill into CI/CD pipelines or monitoring dashboards to trigger automated diagnostics on deployment failures, ensuring quick feedback loops and reduced manual intervention.
Scored Apr 19, 2026
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