kubeblocks-skillsProvision and manage production-grade databases on Kubernetes using KubeBlocks. Use this skill when the user needs a database — MySQL, PostgreSQL, Redis, Mon...
Install via ClawdBot CLI:
clawdbot install earayu/kubeblocks-skillsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
Post → https://kubeblocks.io/docs/preview/kubeblocks-for-postgresql/04-operations/11-rePotentially destructive shell commands in tool definitions
curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bashAccesses system directories or attempts privilege escalation
sudo mvCalls external URL not in known-safe list
Generated Mar 21, 2026
Developers building AI applications need vector databases like Milvus or Qdrant for RAG (Retrieval-Augmented Generation) and similarity search. This skill enables quick provisioning and scaling of these databases on Kubernetes, supporting rapid prototyping and deployment in cloud-native environments.
An e-commerce platform requires multiple databases (e.g., PostgreSQL for transactions, Redis for caching, Kafka for event streaming) to support microservices architecture. This skill manages the full lifecycle of these databases on Kubernetes, ensuring high availability, scaling during peak loads, and automated backups for data protection.
Healthcare organizations need secure, scalable databases like Elasticsearch for log analysis and PostgreSQL for patient records. This skill facilitates deployment on Kubernetes with compliance features, enabling efficient data processing, monitoring for performance, and disaster recovery through backup and restore operations.
Financial institutions use message queues like RabbitMQ and databases like MySQL for real-time transaction processing and fraud detection. This skill supports provisioning and managing these on Kubernetes, with capabilities for vertical scaling, failover, and parameter tuning to meet low-latency and high-reliability requirements.
Media companies deploy MongoDB for content metadata and Kafka for streaming data pipelines. This skill helps set up and operate these databases on Kubernetes, enabling horizontal scaling to handle large volumes of user data, backup for content recovery, and troubleshooting to maintain uptime.
Companies offer managed database services on Kubernetes using KubeBlocks, providing automated provisioning, scaling, and backup to clients. Revenue is generated through subscription fees based on usage tiers, cluster size, or premium support for enterprise features like high availability and security.
IT consulting firms use this skill to deliver database solutions on Kubernetes for clients, handling installation, configuration, and day-2 operations. Revenue comes from project-based fees, retainer contracts for ongoing management, and training workshops on KubeBlocks usage.
Organizations leverage the open-source KubeBlocks operator for internal use but purchase enterprise licenses for advanced features, support, and custom integrations. Revenue is generated through license sales, with additional income from community-driven contributions and partnerships.
💬 Integration Tip
Ensure kubectl and helm are installed and configured with kubeconfig; for local testing, use Kind or Minikube to set up a Kubernetes cluster before deploying databases.
Scored Apr 19, 2026
https://kubeblocks.io/docs/preview/user_docs/overview/introductionUses known external API (expected, informational)
api.github.comAI Analysis
The skill interacts with legitimate, documented KubeBlocks resources (kubeblocks.io, GitHub) for its stated purpose of database management on Kubernetes. The 'UNKNOWN_DATA_SINK' signal appears to be a misinterpretation of a documentation URL fragment. While the skill uses external commands (curl, bash) for tool installation, which carries inherent risk, this is consistent with standard Kubernetes/Helm setup procedures and not hidden or malicious.
Audited Apr 16, 2026 · audit v1.0
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Essential curl commands for HTTP requests, API testing, and file transfers.
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