Skill UI

A comprehensive deep dive into reverse engineering ransomware encryption mechanisms. It details the analysis of hybrid encryption models (AES/RSA), identifying specific cryptographic APIs (CryptoAPI, CNG), and locating implementation flaws such as weak key generation or IV reuse. This guides authorized security professionals in finding potential decryption opportunities without paying a ransom.

Kubesec is a powerful open-source tool designed to perform comprehensive security risk analysis on Kubernetes resource manifests (YAML/JSON). It automatically detects critical misconfigurations, potential privilege escalation vectors, and deviations from industry security best practices. It provides actionable scoring and hardening recommendations, making it essential for CI/CD pipelines, security auditing, and automated compliance checks.

A comprehensive guide for performing security assessments to identify various forms of sensitive data exposure, such as leaked API keys, PII in API responses, insecure client-side storage, and unprotected data transmission. This workflow covers scanning JavaScript files, analyzing API responses, verifying data encryption, and examining browser storage.

A detailed methodology for identifying Cross-Site Scripting (XSS) vulnerabilities across web applications. It guides systematic testing for Reflected, Stored, and DOM-based XSS, covering payload bypass, output encoding evaluation, and assessing Content Security Policy (CSP) protection. Essential for OWASP WSTG testing and client-side security audits.

This comprehensive workflow guides the design, optimization, and deployment of scalable, cost-effective Google Cloud Platform (GCP) architectures for both startups and large enterprises. It covers the full lifecycle, from gathering detailed requirements (compliance, SLA) and recommending optimal patterns (Serverless, GKE, Data Pipelines) to estimating costs, generating Infrastructure as Code (IaC) using Terraform, setting up CI/CD pipelines, and completing a thorough security review.

A comprehensive security tool designed to detect prompt injection attacks targeting Large Language Models (LLMs). It employs a multi-layered approach combining regex signature matching, structural anomaly scoring, and advanced DeBERTa transformer classification. It is essential for securing input validation layers in chatbots, AI agents, and RAG pipelines, and for retrospectively auditing LLM interaction logs against OWASP standards.

A comprehensive skill for conducting authorized Bluetooth Low Energy (BLE) security assessments. It covers detecting various attacks, including sniffing, Man-in-the-Middle interception, replay attacks, and GATT enumeration abuse. The workflow guides users through packet capture using specialized sniffers (Ubertooth, nRF Sniffer), analyzing services and characteristics via Python/bleak, and performing cryptographic analysis using tools like crackle.

A comprehensive guide to building HIPAA, GDPR, and other global compliance systems for healthcare applications. This pattern outlines best practices for protecting Protected Health Information (PHI) and Personally Identifiable Information (PII) by implementing robust access controls, Row-Level Security (RLS), and mandatory audit trails. Essential for any feature handling patient or clinical data.

The Safety Guard skill is designed to prevent destructive actions when working in production systems or when autonomous agents are executing tasks. It offers three protection modes (Careful, Freeze, and Guard) to monitor dangerous commands, lock specific directories, and ensure code changes are confined to intended areas, enhancing system stability and security.

A comprehensive guide detailing security patterns and audit checklists for Automated Market Maker (AMM) smart contracts in DeFi. Covers critical vulnerabilities such as flash loans, slippage, reentrancy attacks, price manipulation, and integer overflow/underflow. Essential for reviewing major DeFi protocols like Uniswap.

This skill provides comprehensive guardrails for handling Protected Health Information (PHI) in US healthcare software. It guides development teams on data classification, security best practices, access control, and audit logging to ensure strict adherence to HIPAA regulations. Use it when dealing with patient data storage, transmission, or processing to prevent breaches and maintain compliance.

A guide for security researchers focused on finding exploitable, remote-reachable vulnerabilities for bug bounties or responsible disclosure. It emphasizes high-signal flaws such as SSRF, RCE, and SQL injection, while guiding users through the professional triage and PoC creation process for penetration testing.