What problem does it solve? During authorized penetration tests, manually enumerating Active Directory relationships to find privilege escalation routes is slow and error-prone. This Skill automates internal AD reconnaissance with BloodHound CE, revealing hidden attack paths from compromised accounts to high-value targets like Domain Admins. ## Core Features & Use Cases - BloodHound CE Deployment & Collection: Deploy the BloodHound CE stack via Docker Compose and collect AD data with SharpHound v2 or bloodhound-python. - Graph-Based Attack Path Analysis: Run built-in and custom Cypher queries to find shortest paths to Domain Admin, Kerberoastable and AS-REP roastable accounts, DCSync rights, and delegation abuse. - Automated Reporting: Analyze exported BloodHound JSON data and generate prioritized attack path reports with the included Python scripts and report template. - Use Case: After obtaining initial domain credentials in a sanctioned assessment, collect directory data, import it into BloodHound CE, mark owned principals, and produce a documented list of feasible privilege escalation chains for the engagement report. ## Quick Start Ask the agent to collect Active Directory data with bloodhound-python for your authorized domain and run the BloodHound CE reconnaissance queries against your Neo4j instance to identify attack paths to Domain Admins.