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A comprehensive framework for authorized AWS penetration testing and red-teaming. This skill automates end-to-end cloud exploitation using Pacu, covering session management, deep IAM enumeration, automated privilege escalation scanning, and establishing persistence backdoors. It is designed to assess the full blast radius of compromised cloud credentials.

A comprehensive tool for authorized red-team engagements, designed to map complex on-prem Active Directory and cloud Entra ID attack paths. It uses SharpHound and AzureHound to collect rich data, ingesting it into BloodHound CE for analysis using built-in queries and custom Cypher. Effectively identifies privilege escalation chains leading to domain or tenant compromise, especially in hybrid identity environments.

GraphRunner is a powerful PowerShell toolset built on the Microsoft Graph API, designed for authorized red-teaming engagements against M365/Entra ID tenants. After obtaining a valid Graph token, it enables reconnaissance, establishes persistence (e.g., injecting OAuth apps and inbox rules), performs privilege escalation, and exfiltrates sensitive data from mailboxes, SharePoint, and Teams. Use only in authorized testing environments.

Implements a comprehensive defense-in-depth framework for autonomous AI agents that interact with external tools. It mitigates risks like prompt injection or tool misuse by enforcing strict tool allowlisting, binding tools to least-privilege identities, requiring human-in-the-loop approval for high-impact actions, and utilizing policy enforcement (like NeMo Guardrails) to bound the blast radius and ensure compliance.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

An advanced, secure skill leveraging OpenAI Codex and GPT models for end-to-end software development tasks. It supports autonomous code implementation, complex bug fixing, architectural analysis, and rigorous code/plan review. Operating in a controlled sandbox environment, it adheres to least privilege principles, allowing users to delegate entire coding workflows, from feature development to security auditing, without manual intervention on every step. Ideal for developers needing full-cycle automation assistance.

A comprehensive, authorized methodology for security assessments covering cloud platforms, container runtimes, and Kubernetes clusters. It guides users through checking critical areas such as IAM privilege escalation, metadata SSRF, container escape paths, and granular RBAC misconfigurations, ensuring testing is systematic and non-destructive.

This specialized skill guides users through analyzing complex Active Directory Certificate Services (AD CS) abuse scenarios. It is essential for proving how a weakness in a template, CA policy, or issuance right can lead to unauthorized privilege acceptance (e.g., via PKINIT, Schannel). The workflow focuses on mapping the entire certificate issuance chain to the resulting accepted service path.

This specialized skill is designed for advanced security analysis, tracing the complete trust chain from cloud metadata services to accepted privilege. It is used in penetration testing or CTF environments to meticulously prove how metadata-derived credentials (such as instance identities or tokens) are issued and subsequently accepted by a cloud or control plane API, thereby exposing the decisive trust edge.

This specialized skill is designed for deep forensic analysis in complex Windows environments, crucial for CTF and red teaming. It traces identity flows, including Active Directory (AD) origins, Kerberos ticket lifecycles, and OAuth authorization claims. Use it to correlate host artifacts (LSA, DPAPI, Sysmon) with identity evidence to map complete lateral movement and privilege escalation chains.

A specialized downstream skill for deep security analysis of JSON Web Tokens (JWT), JWS, and JWE. It guides the identification of vulnerabilities where token components (headers, claims, keying) lead to unauthorized identity assumption or privilege escalation. Use this to trace the full path from token supply to final application acceptance.

A highly specialized skill for advanced security analysis, designed to trace complex Kerberos delegation chains (including constrained, unconstrained, and RBCD). Use this skill to pinpoint the exact delegation edge, analyze ticket minting (S4U), and prove the effective privilege gained by a target service, going beyond simple domain compromise statements.