Skill UI

This comprehensive playbook details advanced techniques for exploiting Layer 2 and Layer 3 network protocols. It covers attacks such as ARP spoofing, LLMNR/mDNS poisoning, WPAD abuse, DHCPv6 takeover, VLAN hopping, and STP manipulation. Designed for penetration testers, it facilitates MitM positioning, credential harvesting (NTLM relay), and robust network environment exploitation.

A comprehensive skill for detecting and analyzing malicious behavior in mobile applications (Android/iOS). It employs multi-layered security analysis, including static indicator checking (permissions, manifest), dynamic instrumentation (Frida), network traffic monitoring, and automated scanning (MobSF). Use this skill when investigating suspicious apps for data exfiltration, C2 communication, or unauthorized access.

This guide teaches security teams how to proactively detect and respond to unauthorized cryptocurrency mining operations across major cloud platforms (AWS, Azure). It utilizes a multi-layered approach by analyzing compute cost anomalies, monitoring GuardDuty findings, inspecting network traffic to known mining pools, and analyzing runtime process execution in EC2, ECS, and EKS environments.

This skill provides a repeatable assessment for RAG systems, testing for critical vulnerabilities in vector stores and embedding models. It specifically addresses embedding inversion, cross-tenant data leakage, and knowledge-base poisoning, aligning with OWASP LLM08:2025. Use when performing authorized security audits of retrieval layers and multi-tenant isolation.

This guide details setting up advanced Command and Control (C2) redirectors, acting as protective intermediaries between implant beacons and the hidden team server. It covers using Nginx and Apache for request filtering based on Malleable C2 profiles, layering Let's Encrypt TLS, and implementing advanced OPSEC controls like domain fronting, geo/UA filtering, and decoy diversion. Essential for red-teaming operations requiring high resilience against blue-team detection and takedown.

Generates championship-grade, F1-inspired test suites based on the WJTTC methodology. This skill enforces a 'tests first' philosophy, analyzing the codebase to define structured test plans. It covers standard industry unit tests (Layer 1) and deep expert edge cases (Layer 2). Furthermore, it includes Signal Integrity Audits to ensure the test suite's reliability is paramount, guiding development toward maximum code quality.

Adds x402 payment execution for AI agents with task budgets, spending controls, and non-custodial wallets. Supports Base via agentwallet-sdk and X Layer via OKX payment protocols for controlled API and service payments.

Implements a robust caching strategy by using the SHA-256 hash of file content as the primary key, instead of the file path. This pattern is essential for high-cost file processing pipelines (like OCR, PDF parsing) because it ensures cache hits survive file renaming or moving, while still automatically invalidating entries when the content changes. It adheres to the Single Responsibility Principle (SRP) by isolating caching logic into a service layer wrapper.

A comprehensive guide for positioning econometric research papers for submission to The Econometrics Journal (EctJ). It emphasizes making the novelty legible to both econometricians and applied users by focusing on a leading-case contribution within a stringent 20-page limit. Techniques include defining the 'Frontier layer' and 'Use layer' of related work, and placing citations strategically to maximize impact and demonstrate a sharp, applied delta.

Performs comprehensive, two-layer validation on generated plans. Layer 1 executes instant structural checks (format, dependencies, compliance) while Layer 2 triggers specialist agents (e.g., security, DB, performance) based on plan content. The system forces resolution of all identified issues before allowing execution, supporting auto-fixes and guided human input.

A comprehensive companion tool for the foundational Deep Learning textbook. It indexes 20 chapters and provides a crucial delta layer, updating core concepts from 2016 to 2026 (e.g., Transformers, Diffusion Models). The tool features four deterministic utilities: a reading-path planner, a training-failure diagnostic, a capacity planner, and a parameter/FLOP calculator. Ideal for students and practitioners who need to study the theory, understand its modern relevance, and translate academic knowledge into actionable engineering decisions.

Master Godot 4.7 physics bodies like RigidBody, StaticBody, Area, and CharacterBody for 2D and 3D projects. Learn to configure collision layers and masks, detect overlaps using Area signals, apply forces to rigid bodies, and cast rays for line-of-sight checks. Essential for game development involving physics interactions and collision detection in Godot projects.