Skill UI

This skill guides the implementation of automated security scanning for Infrastructure as Code (IaC) templates using industry-leading tools like Checkov and tfsec. It focuses on integrating security checks into CI/CD pipelines to detect misconfigurations (e.g., public buckets, open ports) in Terraform, CloudFormation, and Kubernetes manifests before they reach production, thereby enforcing policy-based governance and securing the development lifecycle.

This skill covers implementing Open Policy Agent (OPA) and Gatekeeper for robust policy-as-code enforcement. Learn to write complex Rego policies, deploy OPA Gatekeeper as a Kubernetes admission controller, and integrate policy evaluation into CI/CD pipelines to enforce security and compliance across clusters.

Implement Kubernetes RBAC to enforce least-privilege access across namespaces, covering Role/ClusterRole design, binding configuration, service account hardening, OIDC integration, and audit logging for multi-tenant clusters.

A comprehensive guide to securing Kubernetes Role-Based Access Control (RBAC). It teaches best practices for implementing least-privilege policies, eliminating excessive cluster-admin bindings, utilizing namespace-scoped roles, and integrating external identity providers (OIDC) to mitigate risks like privilege escalation and unauthorized data access.

This skill demonstrates how to use Trivy, an open-source security scanner, to perform comprehensive container security assessments. It scans container images, Kubernetes manifests, and Infrastructure as Code (IaC) files for vulnerabilities, misconfigurations, exposed secrets, and license compliance issues. Key features include generating Software Bill of Materials (SBOM) for supply chain transparency and integrating scanning gates into CI/CD pipelines, supporting robust DevSecOps practices.

Kubesec is a powerful open-source tool designed to perform comprehensive security risk analysis on Kubernetes resource manifests (YAML/JSON). It automatically detects critical misconfigurations, potential privilege escalation vectors, and deviations from industry security best practices. It provides actionable scoring and hardening recommendations, making it essential for CI/CD pipelines, security auditing, and automated compliance checks.

AegisOps-AI is a professional-grade 'Living Pipeline' that integrates advanced AI reasoning directly into the SDLC. It acts as an intelligent gatekeeper, automating high-stakes audits across three domains: identifying memory vulnerabilities in Linux Kernel patches, detecting massive cost drifts in Terraform plans, and translating natural language security intent into hardened Kubernetes manifests.

A comprehensive guide on implementing advanced security observability using eBPF and Cilium Tetragon. This skill covers real-time tracking of process execution, network connections, and file system access directly in the kernel. Learn how to author TracingPolicy CRDs, utilize kprobe/tracepoint hooks for in-kernel filtering, and enforce runtime security policies (e.g., process killing) on Linux hosts or Kubernetes clusters.

This skill guides the management of CI/CD pipelines within KubeSphere DevOps. It utilizes Kubernetes Custom Resources (CRs) to define, trigger, and monitor complex build workflows, seamlessly integrating with Jenkins concepts in a cloud-native manner. Use it for automating build, test, and deployment processes for applications running on Kubernetes.

This comprehensive skill guides users through the entire lifecycle management of KubeSphere extensions. It covers extension discovery, dependency resolution, version verification, and executing controlled installations, upgrades, or uninstalls using the InstallPlan mechanism. It is essential for maintaining a stable and complex multi-component Kubernetes cluster environment.

This service provides a centralized, common API server backend for the entire KubeSphere WizTelemetry Observability Platform. It unifies backend functionalities for core observability components including Logging, Auditing, Events, Tracing, and Notifications, enabling global monitoring and streamlined platform management within Kubernetes environments. Use it when installing or configuring the core telemetry platform.

Automate the deployment of CAST AI across various multi-cloud Kubernetes clusters, including EKS, GKE, and AKS. This module uses Terraform Infrastructure as Code (IaC) patterns to reliably configure necessary components like IAM roles, node autoscaling policies, and cluster resources, ensuring standardized onboarding across different cloud environments.