Skill UI

This guide provides a deep dive into the cryptographic techniques used by ransomware, including AES, RSA, ChaCha20, and hybrid schemes. It covers identifying algorithms, analyzing key management patterns (strong, weak, flawed), and reverse engineering file encryption routines to assess decryption feasibility and support recovery efforts.

This skill reconstructs the detailed workflow behind a specific coding artifact (like a feature or PR). By analyzing local `ax` agent traces, it connects commits, sessions, skills, and tool calls into a concise, evidence-grounded narrative. It is used when needing to understand the step-by-step process and key decisions that led to a result.

ROADtools is a comprehensive offensive toolkit for Microsoft Entra ID (Azure AD). It consists of ROADrecon for offline directory enumeration (users, groups, roles, policies) and roadtx for advanced token acquisition and exchange. It is designed for authorized red-teaming and penetration testing to discover attack paths and pivot tokens across various Microsoft resources.

A comprehensive security auditing tool designed to identify over-permissive Role-Based Access Control (RBAC) roles and potential service-account token abuse paths within a Kubernetes cluster. It systematically reviews cluster bindings, effective permissions, and common escalation primitives using advanced tools like `kubectl auth can-i`, `rbac-police`, and `rakkess`, ensuring adherence to the principle of least privilege.

This skill provides advanced threat hunting logic for Microsoft Sentinel/Log Analytics. It analyzes both AADGraphActivityLogs and MicrosoftGraphActivityLogs to detect the unique fingerprints and behavioral patterns left by offensive Entra ID tools (like ROADtools, AADInternals, and AzureHound). It detects specific User-Agent strings and characteristic endpoint-sweep patterns, even when tool authors attempt to spoof headers, helping SOC teams identify valid account-based adversary activity (MITRE T1078.004).

Provides a comprehensive workflow and tooling (GuardDog) to triage npm packages and dependency trees for signs of malicious activity. It focuses on static analysis of install scripts, detecting credential exfiltration, reverse shells, and worming behavior, thereby safeguarding against software supply-chain attacks.

This skill detects malicious, misspelled, or brand-jacked package names (typosquatting) across major ecosystems (npm, PyPI, crates.io). It uses advanced techniques like edit-distance and keyboard-proximity analysis, powered by tools like typomania and OSSGadget, to flag potential supply chain attacks *before* a dependency is installed. It is essential for implementing robust CI/CD security gates and proactive dependency screening.

A powerful offensive security toolkit for red-teaming and penetration testing. It systematically enumerates and exploits various misconfigurations within Active Directory Certificate Services (AD CS) using Certipy. This allows attackers to forge privileged certificates, perform PKINIT authentication, and achieve domain compromise and privilege escalation, even without knowing user passwords. Ideal for validating security hardening.

This PowerShell toolset performs advanced post-exploitation, reconnaissance, persistence, and data exfiltration against Microsoft 365/Entra ID tenants using the Microsoft Graph API. It operationalizes stolen Graph tokens to enumerate users, dump policies, escalate privileges, and search sensitive data across mailboxes, SharePoint, and Teams. Essential for authorized red teaming engagements.

This skill provides a comprehensive defense-in-depth framework for securing autonomous AI agents. It implements least-privilege tool allowlisting, identity binding, and human-in-the-loop controls to mitigate risks like prompt injection and tool poisoning. Use this when building agents that interact with sensitive systems (e.g., payments, file writes) to ensure governance, auditability, and compliance.

KAPE is a powerful, Windows-native triage tool used for Digital Forensics and Incident Response (DFIR). It executes in two phases: 'Targets' collect raw forensic artifacts (like registry hives, event logs, and prefetch files) from live systems, while 'Modules' parse this collected data into normalized, analyst-ready CSV/JSON formats. It enables fast, defensible, and scalable artifact collection, especially when full disk imaging is impractical.

This skill allows users to upload local images (like screenshots or before/after comparisons) directly to GitHub using the CLI. Since GitHub lacks a public API for uploads, this tool replicates the web UI's internal process, generating canonical, embeddable user-attachments URLs for seamless use in PR descriptions, issues, and comments from the terminal.