Skill UI

A comprehensive, step-by-step guide for security professionals to perform deep-dive malware analysis. It covers methodologies for static analysis (disassemblers, imports), dynamic execution (sandboxing, monitoring), identifying Indicators of Compromise (IOCs), and structuring professional threat reports. Essential for incident response and threat intelligence.

This comprehensive skill guides the setup and deployment of File Integrity Monitoring (FIM) using AIDE on Linux systems. It covers generating the initial baseline database, configuring monitoring rules, running scheduled checks via cron, and parsing change reports to detect unauthorized file modifications. Essential for meeting strict compliance requirements and enhancing endpoint security.

Cartography syncs multi-cloud assets (AWS, GCP, Azure) into a Neo4j graph database. It maps relationships like IAM chains, network paths, and cross-account trusts, allowing security teams to conduct comprehensive asset inventories, identify complex attack paths, and generate detailed security reports across heterogeneous cloud environments.

This skill provides a comprehensive framework for performing authorized penetration testing on Google Cloud Platform (GCP). It uses specialized tools like GCPBucketBrute to enumerate publicly accessible storage buckets and audits IAM policies to identify overly permissive role bindings. The process includes checking service account keys and mapping potential privilege escalation paths, generating actionable, risk-scored reports for robust cloud security posture management.

This skill guides users through performing comprehensive threat modeling using the OWASP Threat Dragon tool. It covers creating Data Flow Diagrams (DFD), identifying vulnerabilities using established methodologies like STRIDE and LINDDUN, defining mitigations, and generating formal PDF reports. Ideal for secure design reviews, architecture validation, and achieving GRC compliance.

This skill provides comprehensive API calls using `curl` to interact with the CAST AI platform. It allows users to list connected Kubernetes clusters, retrieve detailed cost savings reports, and inspect the inventory of managed nodes. It is essential for verifying connectivity, auditing cloud spending, and monitoring resource allocation after onboarding.

Generates a comprehensive, structured, and blameless incident postmortem document. This skill is designed for Root Cause Analysis (RCA), P1/P2 incident reviews, and outage reports, ensuring the focus remains on systemic gaps and preventative action items rather than individual blame. It guides the user through gathering all necessary details, from the timeline and impact to defining concrete action owners and due dates.

KubeEye is a comprehensive cluster inspection tool designed for Kubernetes environments, particularly within KubeSphere. It systematically detects issues across workloads, nodes, and configurations by integrating multiple policy engines, including OPA/Rego, PromQL, file integrity checks, kernel parameter validation, and systemd health checks. Users can define custom inspection rules (InspectRule), schedule checks (InspectPlan), and retrieve detailed reports (InspectResult) to ensure cluster compliance and stability.

A comprehensive guide for authors submitting materials science and physical metallurgy manuscripts to Acta Materialia. It emphasizes the necessity of establishing a clear processing–structure–property mechanism, requiring rigorous, quantitative characterization (e.g., TEM, XRD) and detailed mechanistic explanations over simple reports of improved performance. Use this tool for fit assessment and manuscript re-framing.