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This skill automates the validation of AWS environments against critical industry compliance benchmarks. It performs detailed checks for CIS AWS Foundations, PCI-DSS, HIPAA, and SOC 2 standards, covering key areas like Identity and Access Management (IAM), logging, data protection, and network security. Essential for preparing for regulatory audits and maintaining continuous secure operations.

This skill provides a comprehensive suite for executing load testing, stress testing, and performance benchmarking. Use it to simulate peak traffic, identify system bottlenecks, and verify compliance with Service Level Agreements (SLAs). It supports industry-standard tools like k6, Artillery, Locust, and JMeter for robust performance analysis.

This guide provides a comprehensive methodology for conducting cloud security audits across major platforms (AWS, Azure, GCP) using industry-standard CIS Benchmarks. It covers selecting appropriate benchmark versions, running automated assessments using tools like Prowler and ScoutSuite, interpreting complex compliance results, and prioritizing systematic remediation steps to achieve and maintain continuous compliance (e.g., SOC 2, ISO 27001).

This guide provides comprehensive steps to harden the Docker daemon configuration. It covers essential security controls like user namespace remapping, disabling inter-container communication (ICC), implementing TLS authentication, and adopting rootless mode. Implementing these measures significantly reduces the attack surface and mitigates risks associated with container breakouts and privilege escalation, aligning with CIS benchmarks.

This skill automates the hardening of Linux endpoints (Ubuntu, RHEL, CentOS) by implementing industry-standard security best practices guided by CIS Benchmarks. It systematically secures various layers, including filesystem permissions, network parameters (sysctl), SSH configuration, user access controls (PAM), and integrates deep auditing using auditd and OpenSCAP. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

This skill guides the security hardening of Windows endpoints (10/11, Server 2019/2022) using established CIS Benchmarks. It provides a comprehensive workflow for establishing secure organizational baselines, configuring Group Policy Objects (GPOs), and enforcing security controls across critical areas like password policies, audit logs, and firewall rules. It is essential for achieving compliance with standards like PCI DSS, HIPAA, and SOC 2.

An open-source tool based on the CIS Docker Benchmark. It systematically audits critical security aspects of Docker deployments, including host configuration, daemon settings, and container runtime. It generates a detailed compliance report (pass/fail/warn) to ensure best practices and security compliance in production environments.

Perform comprehensive security assessments for Google Cloud Platform environments. This tool audits critical security components—including IAM policies, firewall rules, and storage permissions—against industry benchmarks like the CIS GCP Foundations Benchmark. It helps organizations establish secure baselines and ensure continuous compliance across multiple GCP projects.

A comprehensive security auditing tool designed to assess a Kubernetes cluster's compliance posture against established CIS benchmarks. It performs deep checks on control plane components (API Server, etcd, Controller Manager), worker nodes, and Role-Based Access Control (RBAC). Use it for proactive security assessments, compliance validation, and hardening throughout the CI/CD lifecycle.

kube-bench is an open-source tool that validates the compliance and security posture of Kubernetes clusters. It rigorously checks control-plane components, worker nodes, and cluster policies against the comprehensive CIS Kubernetes Benchmark. It reports findings (PASS/FAIL/WARN) and includes specific remediation guidance, making it essential for compliance auditing and hardening efforts.

A rigorous, data-driven methodology for improving system performance. Use this skill when aiming to significantly increase speed, reduce latency, or lower operational cost. It establishes a measurable baseline, generates testable variants based on hypotheses, runs controlled benchmarks, and validates the best performing solution through iterative testing and code promotion gates.