Use when beginning a web assessment from a domain, wildcard, ASN, organization, IP list, or CIDR and measurable attack-surface coverage is needed.
Decision tree for selecting AIRT attacks based on goals, target type, and constraints
Common Active Directory attack chains with tool mappings. Covers Kerberoasting, AS-REP roasting, RBCD, AD CS, DCSync, relay attacks, and credential reuse patterns. Use during exploitation and privilege escalation phases.
Decision tree for Active Directory enumeration. Maps enumeration tasks to tools, defines priority signals, and specifies what findings trigger deeper investigation. Use during the enumeration phase of network operations.
Load when performing network operations or Active Directory exploitation. Enforces enumeration-before-attack discipline, credential verification, trust boundary awareness, scope compliance, reversibility preference, and structured reporting. Prevents premature exploitation, credential misuse, and scope violations.
Direct Caido interaction via the caido-sdk-client Python library, bypassing the Caido MCP server. Prefer this over the caido-proxy MCP skill for efficiency WHEN the SDK is importable in the current runtime. If the import fails, or Caido/the MCP is not loaded, fall back to the caido-proxy skill.
Caido proxy integration for HTTP history search, request replay, fuzzing results, sitemap, and security findings via MCP. Use when you need to search proxy traffic, replay requests with modifications, triage fuzzing results, or document findings in Caido.
Guide the user through authenticating the target, attacker, and judge models from their own environment (any cloud, any auth mode) before running an assessment