Skill UI

This central skill specializes in performing comprehensive threat modeling using STRIDE and calculating risk via DREAD scoring. It guides users through defining scope, identifying threats, and planning mitigations for new architectures. Crucially, it acts as a security router, directing specialized requests—such as pen-testing, incident response, cloud posture checks, and AI security reviews—to the appropriate dedicated skill.

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.

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 automates the enrichment of Indicators of Compromise (IOCs) by orchestrating lookups across multiple industry-leading threat intelligence sources (e.g., VirusTotal, AbuseIPDB, Shodan). It provides contextual scoring and disposition recommendations for IPs, domains, URLs, and hashes. Ideal for SOC analysts during alert triage or incident investigation to quickly assess risk and scope.

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.

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.

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 generates a comprehensive risk register for projects, programs, or products. It applies standard risk management practices, including likelihood/impact scoring, RAG status, and detailed mitigation/contingency plans. Ideal for preparing reports for project boards, steering committees, and programme management offices.