Skill UI

This workflow guides SOC teams in establishing a comprehensive, structured process for vulnerability management. It utilizes major scanning tools (Nessus, Qualys, OpenVAS) to discover, prioritize, and track remediation of security weaknesses across the infrastructure. It integrates threat intelligence (CISA KEV) and asset criticality into risk scoring, ensuring resources are focused on the most critical threats.

A comprehensive guide detailing best practices for hardening Docker containers, aligning with CIS Docker Benchmark v1.8.0. It covers host configuration, minimizing attack surface, implementing least privilege, and enhancing runtime security using techniques like read-only filesystems, Seccomp, and AppArmor. Use this when deploying secure, production-grade containerized applications.

A comprehensive guide for implementing Cloud Security Posture Management (CSPM) across multi-cloud environments (AWS, Azure, GCP). Learn how to use specialized tools like Prowler and ScoutSuite, combined with native cloud services (Security Hub, Defender, SCC), to continuously monitor for misconfigurations, compliance violations (CIS, SOC 2), and security drifts, thereby enforcing security guardrails in complex cloud architectures.

A comprehensive guide and workflow for performing authorized penetration testing on AWS environments using the open-source Pacu framework. This skill covers enumerating IAM configurations, identifying privilege escalation paths, testing credential harvesting, and validating security controls across S3, EC2, Lambda, and Secrets Manager. It is designed for red team exercises and risk assessment when auditing cloud infrastructure security.

This comprehensive guide details industry best practices for container image hardening. It covers minimizing attack surface through multi-stage builds, utilizing distroless images, enforcing non-root users, and configuring read-only root filesystems. The techniques ensure compliance with standards like the CIS Docker Benchmark, making images secure and production-ready.

This skill implements a sophisticated risk-based prioritization engine by combining three critical data sources: the CISA Known Exploited Vulnerabilities (KEV) catalog, the Exploit Prediction Scoring System (EPSS), and traditional CVSS scores. It allows security teams to move beyond simple severity ratings, focusing remediation efforts on vulnerabilities confirmed to be actively exploited in the wild or predicted to be highly exploitable. The workflow integrates fetching, enriching, and scoring vulnerabilities to generate an actionable remediation plan with defined SLAs.

This skill details how to conduct comprehensive Operational Technology (OT) vulnerability assessments using platforms like Claroty xDome. It covers passive asset discovery, correlating vulnerabilities against CISA/ICS-CERT advisories, calculating risk scores, and prioritizing remediation based on operational impact and compliance standards (e.g., IEC 62443, NERC CIP). The provided workflow uses Python to manage asset inventory and vulnerability matching for highly regulated industrial environments.

This skill provides a comprehensive guide to the Common Vulnerability Scoring System (CVSS v4.0), the industry standard for assessing vulnerability severity. It teaches users how to calculate CVSS scores using Base, Threat, and Environmental metrics, and crucially, how to integrate real-world context like EPSS scores and CISA KEV listings for advanced, actionable risk prioritization in security operations.

This tool implements the Stakeholder-Specific Vulnerability Categorization (SSVC) framework, providing a structured decision-tree methodology for advanced vulnerability prioritization. It moves beyond traditional CVSS scoring by incorporating critical factors such as active exploitation status (CISA KEV), technical impact, automatability, and mission prevalence. It generates actionable remediation priorities (Track, Attend, Act) to guide security teams in managing risk and improving security program maturity.

This skill helps developers structure and record critical architectural decisions (ADRs) made during coding sessions. It automatically detects moments of decision, capturing the context, alternatives considered, and the rationale (trade-offs and consequences). This maintains a living log that explains 'why' the code base was built the way it is, preventing knowledge loss and improving project maintainability.

This skill generates user-friendly, public-facing release notes (changelogs) for App Stores. It analyzes the raw Git history since the last tag, intelligently filtering out internal commits (like refactors, CI updates, or build scripts) and grouping visible changes into concise, benefit-focused bullet points suitable for a "What's New" section.

This skill provides a comprehensive, structured workflow for diagnosing performance bottlenecks in SwiftUI applications. It guides users through a code-first review to detect common issues like invalidation storms, layout thrash, or heavy main-thread work. When code review is insufficient, it provides detailed guidance on collecting runtime evidence using Instruments, enabling precise root cause analysis and targeted remediation strategies.