Skill UI

A comprehensive playbook detailing expert-level techniques for exploiting web cache vulnerabilities. Covers both Web Cache Deception (stealing authenticated user data) and Web Cache Poisoning (injecting malicious content). Techniques include path confusion, unkeyed header manipulation (X-Forwarded-Host), and exploiting CDN/reverse proxy caching logic. Essential reading for penetration testers and security researchers.

This skill provides comprehensive testing for WebSocket APIs, covering protocol basics, Cross-Site WebSocket Hijacking (CSWSH), and common security flaws. Use it when testing applications that rely on real-time communication, chat features, or persistent data streams. It validates Origin checks, session binding, and message integrity.

Skill Scout is a crucial pre-creation workflow designed to prevent the duplication of effort. Before building a new skill, it systematically searches local, marketplace, GitHub, and web sources. It not only finds potential matches but also rigorously vets them for security, maintenance status, and relevance, providing the user with clear options: Use Existing, Fork/Extend, or Create New.

A structured, multi-phase skill that systematically audits and provides actionable fixes for all four Lighthouse pillars: Performance, Accessibility, Best Practices, and SEO. It analyzes Core Web Vitals, render-blocking resources, security headers, and ARIA compliance to significantly boost site speed and quality.

This skill deploys Remote Browser Isolation (RBI) as a core component of a Zero Trust security architecture. It implements sophisticated isolation policies utilizing URL categorization, risk-based routing, and Content Disarming and Reconstruction (CDR) for file sanitization. It provides robust data loss prevention controls, effectively mitigating zero-day exploits, phishing, and data exfiltration across isolated web sessions, and integrating with SWG and ZTNA platforms.

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

This skill covers implementing continuous, risk-adaptive identity verification within a Zero Trust framework. It utilizes phishing-resistant MFA (FIDO2/WebAuthn) and risk-based conditional access policies, ensuring robust and dynamic security controls. Use when designing advanced identity architectures or improving compliance security.

This guide details how to implement Identity-Aware Proxy (IAP) using gcloud. It enforces per-request identity verification and context-aware access policies (e.g., device posture, location) across major GCP backends, including Compute Engine, App Engine, Cloud Run, and GKE. It is essential for migrating from traditional VPN access to a robust, zero-trust, identity-based security architecture for cloud applications.

A comprehensive security skill designed to detect and mitigate indirect prompt injection attacks. It scans untrusted external content—including web pages, PDFs, and images—for hidden, obfuscated instructions before an LLM agent processes them. The pipeline combines content extraction (HTML, OCR), normalization, and dedicated ML models (e.g., LLM Guard, Prompt Guard 2) to ensure data safety.

This skill probes website authentication flows to identify security vulnerabilities like CSRF, redirect leaks, weak cookies, and OAuth misconfigurations. It automates login processes, analyzes trajectories, and generates structured findings reports. Suitable for pre-deployment audits, investigating token leaks, and regression testing. Sensitive data is quarantined and never exposed unredacted.

Extract structured data from web pages using stored templates or one-shot DOM queries. Includes mandatory security gates for PII and prompt injection before data reaches the model. Supports reusable templates for recurring scraping tasks and browser automation workflows.

This tool performs comprehensive safety scanning on untrusted inputs, such as user submissions, API payloads, or webhook data. It detects sophisticated threats like prompt injection, jailbreak attempts, and adversarial attacks using advanced AI defense mechanisms, ensuring data integrity and security before model processing or execution.