Skill UI

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.

This skill simulates advanced red-teaming techniques targeting Microsoft Entra ID's OAuth 2.0 device-code flow and illicit consent mechanisms. It demonstrates how attackers can steal access and refresh tokens, bypass Multi-Factor Authentication (MFA), and pivot across various Microsoft 365 services. It is designed for authorized security testing to validate token protection and conditional access policies.

This toolkit provides comprehensive offensive and administrative capabilities for Microsoft Entra ID, Azure AD, and AD FS. It allows authorized penetration testers to perform unauthenticated reconnaissance, acquire various access tokens, and critically, test for federation backdoors (Golden SAML). It is essential for validating identity-attack resilience and producing detailed hardening recommendations during red-team engagements.

This skill provides comprehensive security auditing for Model Context Protocol (MCP) servers and their associated tool metadata. It is designed to detect sophisticated supply chain attacks, including tool poisoning (indirect prompt injection), Server-Side Request Forgery (SSRF), tool shadowing, and unauthenticated exposure. It is essential for securing AI agent stacks before integrating new tools or during CI/CD processes.

CHIPSEC is an open-source framework designed to assess the low-level security configuration of x86 platform firmware and hardware. It verifies critical security controls such as SPI flash write protection, BIOS locks, SMM/SMRR configuration, and Secure Boot variable integrity. Users can run automated tests, dump SPI flash memories for forensics, and detect potential firmware implants that persist below the operating system layer.

A comprehensive system for designing high-quality, multi-platform banners, including social media ads, website heroes, and print materials. It leverages AI visual generation, UI/UX insights, and HTML/CSS structuring to create multiple art direction options for any campaign.

An AI assistant for generating and analyzing Chinese Bazi (Four Pillars) and Ziwei Dou Shu charts using precise algorithms, supporting individual analysis, cross-validation, and structured report generation.

This guide details the architecture and deployment of resilient Command and Control (C2) redirectors. By using tools like Nginx and Apache, operators establish an intermediary layer that filters beacon traffic based on malleable C2 profiles. This setup protects the true team server from detection, takedown, and analysis (OPSEC), enabling advanced techniques like domain fronting and traffic shaping for low attribution.

Plaso (log2timeline) is an open-source engine used to generate forensic super-timelines. This skill guides the process of normalizing hundreds of diverse artifact types—including MACB times, registry keys, EVTX logs, and browser history—into a single, cohesive chronological view. The workflow covers extraction, filtering, and importing the timeline into Timesketch for collaborative analysis, which is crucial for incident response, correlating complex activity chains, and detecting anti-forensic techniques like timestomping.

Automate security regression testing for Large Language Model (LLM) applications by integrating Promptfoo and DeepTeam into CI/CD pipelines. This skill enforces a critical security gate, automatically testing endpoints against OWASP LLM Top 10, OWASP Agentic threats, and common jailbreaks/prompt injections. It ensures that security patches do not regress over time due to prompt or model changes, providing continuous risk monitoring.

This skill outlines the implementation of advanced runtime defenses for production Large Language Model (LLM) applications. It covers using multiple industry-leading guardrail systems—including Llama Guard, NeMo Guardrails, and LLM Guard—to detect and block adversarial attacks such as prompt injection, jailbreaks, and toxic content. It provides a comprehensive defense-in-depth strategy for ensuring model safety and output integrity in real-world deployments.

This skill guides the deployment and strategic use of honeytokens and canarytokens (decoy credentials, files, URLs, etc.). These high-fidelity decoys are designed to detect unauthorized access, insider threats, or adversary reconnaissance by triggering alerts upon any interaction, providing early warning deep within the kill chain.