Skill UI

BloodHound is a powerful, graph-based reconnaissance tool specifically designed for Active Directory environments. It utilizes graph theory to map deep, hidden relationships and potential attack paths—such as privilege escalation chains—from compromised low-value accounts to high-value targets like Domain Admins. This tool is essential for authorized red team exercises and penetration testing engagements.

This guide details the process of performing Active Directory reconnaissance using BloodHound and SharpHound. It leverages graph theory to visualize hidden trust relationships, group memberships, and ACLs, mapping the shortest attack paths from a low-privilege compromised user all the way to Domain Admin rights. This is essential for red-teaming, security auditing, and identifying critical misconfigurations.

This skill utilizes Impacket to perform comprehensive audits and simulated attacks on Active Directory forest trust relationships. It enumerates trust boundaries, analyzes SID filtering configurations, detects SID history abuse vectors, and assesses inter-realm Kerberos ticket risks. Ideal for red-teaming multi-forest environments or performing deep security audits to find cross-forest privilege escalation paths.

This guide details the methodology and tools for conducting authorized privilege escalation assessments within AWS environments. It systematically utilizes specialized tools like Pacu and Principal Mapper (PMapper) to identify critical IAM misconfigurations, excessive permissions, and weak cross-account trust relationships. It is essential for validating the principle of least privilege and assessing the potential blast radius of compromised credentials during authorized penetration testing.

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.

Analyze a codebase to assemble an interactive knowledge graph showing architecture, components, and relationships, enabling full rebuilds, incremental updates, or audits with optional auto-update control.

Launches an interactive web dashboard designed to visualize the knowledge graph derived from a target codebase. This tool helps developers gain a high-level, structural understanding of complex projects by mapping out relationships, module dependencies, and the overall knowledge network of the code, making maintenance and onboarding significantly easier.

Viboscope helps discover compatible people for various life aspects—from cofounders and project partners to friends and romantic interests. It builds a comprehensive psychological profile across 10 validated dimensions (including Big Five, Values, and Work Style) and calculates mathematical compatibility scores, providing detailed insights into why connections are strong. Ideal for professional networking, team building, or personal relationships.

This skill analyzes Azure resource groups in depth, identifying all resources, their configurations, and complex interdependencies. It maps relationships—including network connections, data flows, and managed identities—to generate comprehensive, detailed Mermaid architecture diagrams. Use this when you need a clear, structured visualization and full documentation of an Azure environment's topology.

A comprehensive expert prompt for evaluating Power BI data models. It guides the assessment of model architecture (Star Schema, relationships), storage optimization (Import, DirectQuery, Dual), data quality, performance scalability, and governance best practices. Use this when reviewing an existing BI model to ensure it is robust, maintainable, and highly performant.

Helps implement optimized Power BI semantic models by analyzing the active model with MCP tools, then advising on star schemas, DAX, relationships, security, documentation, and performance best practices for reporting scenarios.

This technique is used when the required answer in a case query is not directly stated but must be deduced by following a sequence of connected roles, people, or events. It involves mapping complex relationships, such as Victim -> Defendant -> Lawyer -> Witness, to trace indirect connections and reach the final piece of information. Ideal for advanced investigative research and deep knowledge graph traversal.