Skill UI

This skill outlines a comprehensive, structured workflow for managing Microsoft Patch Tuesday security updates. It covers the entire lifecycle, from initial vulnerability triage and risk assessment to testing, staged deployment (Pilot, Production Rings), and final validation, ensuring compliance with risk-based remediation SLAs.

This guide details the systematic workflow for patch management, covering the entire lifecycle from vulnerability discovery and risk assessment to controlled testing, multi-phased deployment, and final verification. Learn how to integrate tools like WSUS, SCCM, and Ansible into a robust, automated process to significantly reduce the attack surface and ensure compliance across enterprise IT infrastructure.

This skill guides Security Operations Center (SOC) teams through structured threat modeling using the MITRE ATT&CK framework. It enables mapping adversary Tactics, Techniques, and Procedures (TTPs) against organizational assets to identify critical detection coverage gaps, prioritize defensive investments, and improve overall security posture. Ideal for risk assessment, purple teaming, and compliance planning.

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 skill utilizes the Shodan API to perform comprehensive IP reputation analysis. It enriches IP addresses by identifying open ports, running services, known vulnerabilities (CVEs), and hosting context. It is crucial for threat intelligence enrichment, incident triage, and security assessments, helping security professionals assess the risk level and potential compromise of exposed infrastructure.

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 tool guides the process of reviewing security findings from DAST and SAST scanners. It uses the OWASP risk rating methodology to classify vulnerabilities (true positive, false positive, needs review) and calculate a comprehensive risk score based on likelihood and impact, ensuring development teams prioritize the most critical issues.

Grype is an open-source vulnerability scanner from Anchore. It inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated SBOMs to match packages against multiple vulnerability databases (NVD, GitHub Advisories). Use it for security assessments, auditing, and integrating into CI/CD pipelines to enforce vulnerability standards and manage supply chain risks.

This tool parses Software Bill of Materials (SBOM) in CycloneDX and SPDX formats. It correlates components against the NVD CVE database to identify known supply chain vulnerabilities. Key features include building dependency graphs, calculating transitive risk scores, and generating compliance reports for regulatory assessment.

This advanced prompt simulates a Senior Project Manager and DevOps specialist. It takes comprehensive feature artifacts (PRD, technical breakdowns, testing plans) and generates a structured, automated GitHub project plan. It enforces Agile best practices (Epic > Feature > Story > Enabler > Task) and includes templates for issue creation, dependency management, risk assessment, and Definition of Done, ensuring robust project tracking within GitHub.

This skill performs a comprehensive compliance pressure test against the EU AI Act. It systematically assesses any AI system across six critical dimensions: prohibited practices, high-risk classification, conformity assessment, provider role definition, transparency obligations, and systemic risk, ensuring readiness for EU market deployment.

This skill generates a comprehensive and structured test strategy document. Given a feature specification, PRD, or system description, it systematically outlines the test scope, performs a detailed risk assessment, defines necessary test types (Unit, E2E, Performance, Security), and provides a prioritized, actionable test case outline to ensure robust quality assurance before release.