Skill UI

This skill guides authorized security professionals through testing web applications for clickjacking vulnerabilities. It involves checking frame embedding controls (like X-Frame-Options and CSP) and crafting complex proof-of-concept overlays to see if users can be tricked into performing unintended sensitive actions, such as deleting accounts or transferring funds.

EvilGinx3 is an advanced Adversary-in-the-Middle (AiTM) framework designed for red teaming simulations. It goes beyond traditional credential harvesting by acting as a transparent proxy to intercept the entire authentication flow, including session cookies and Multi-Factor Authentication (MFA) tokens. This capability allows security professionals to assess the robustness of an organization's security posture against sophisticated account takeover attacks.

This tool provides comprehensive security assessments for the entire IoT ecosystem, including physical hardware, embedded firmware, network communications, and cloud APIs. Testers can perform deep dives using hardware debugging (UART/JTAG), firmware extraction and reverse engineering, analyzing protocols (MQTT, CoAP, BLE), and simulating cloud-to-device attacks to identify vulnerabilities across all layers of the smart device stack.

This skill utilizes the Shodan API to perform comprehensive IP reputation analysis. It enriches IP addresses by identifying open ports, running services, known vulnerabilities (CVEs), and hosting context. It is crucial for threat intelligence enrichment, incident triage, and security assessments, helping security professionals assess the risk level and potential compromise of exposed infrastructure.

This automated toolkit streamlines memory forensics using the Volatility3 framework. It is designed to analyze raw memory dumps from Windows, Linux, and macOS, revealing complex threats such as process injection, hidden rootkits, malicious code artifacts, and illicit network connections that traditional disk-based methods cannot detect. Essential for real-time incident response and deep security auditing.

This skill guide provides a comprehensive framework for automating the secure rotation of service account credentials. It addresses the challenge of managing long-lived secrets across diverse environments, including Active Directory, AWS, GCP, Azure, and databases. By implementing centralized secrets management (like HashiCorp Vault) and automated workflows, users can systematically eliminate stale credentials, dramatically reducing the risk of security breaches and non-compliance.

This guide details how to perform pre-execution static analysis of Windows PE malware samples using tools like PEStudio, Python's pefile, and FLOSS. It focuses on examining file headers, section entropy, import address tables (IAT), and embedded strings to identify malicious functionalities, packing techniques, and indicators of compromise (IOCs) without running the binary. Ideal for initial triage of suspicious executables.

A comprehensive workflow and guide for reverse engineering malware compiled using the Rust language. It specifically addresses complex challenges unique to Rust binaries, including non-null-terminated fat-pointer strings, monomorphization artifacts, and intricate error handling chains (Result/Option). Ideal for security analysts and red teams performing deep analysis of modern, resilient attack artifacts.

A comprehensive guide to writing robust and maintainable tests in Rust. It covers various advanced testing patterns, including Unit, Integration, Async, and Property-Based testing. Learn how to apply the TDD (Test-Driven Development) cycle (RED-GREEN-REFACTOR) to enhance code reliability and ensure high code coverage.

tRPC allows developers to build highly type-safe APIs in a full-stack environment without needing to write or maintain separate schemas. It provides end-to-end type safety from server routers to client components, supporting queries, mutations, subscriptions, and robust middleware. Ideal for building modern TypeScript monorepos, Next.js, or Remix applications.

Vibers provides a human code review workflow for AI-generated GitHub projects; add the collaborator, GitHub Action, and commit guidance to receive spec- and security-focused feedback plus follow-up PR fixes.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.