Skill UI

A comprehensive guide and framework for assessing real-time WebSocket APIs (ws:// or wss://). This skill covers critical security checks, including Cross-Site WebSocket Hijacking (CSWSH), authentication bypass, message injection attacks, input validation flaws, and denial-of-service (DoS) via message flooding. It utilizes tools like Burp Suite and Python for simulating malicious payloads and ensuring secure real-time communication channels.

GoldRush API by Covalent lets agents query wallet balances, token prices, transaction history, DEX pairs, and live OHLCV across 100+ chains via REST, CLI, SDK, or WebSocket, avoiding chain-specific plumbing.

Hono is a minimal and ultrafast web framework built entirely on Web Standards (Request/Response/fetch). It allows developers to build high-performance APIs and full-stack applications that run seamlessly across multiple environments, including Cloudflare Workers, Deno, Bun, and Node.js. It is ideal for edge deployment, Backend for Frontend (BFF) layers, and type-safe backend services.

SvelteKit is the official full-stack framework built on Svelte, enabling developers to build fast, modern, and highly performant web applications. It provides comprehensive features including file-based routing, Server-Side Rendering (SSR), Static Site Generation (SSG), API routes, and progressive form actions, all while maintaining Svelte's zero runtime overhead. Use this skill when building complex, data-driven web platforms where performance and developer experience are paramount.

Provides offensive security testing methodology, tooling guidance, and workflows for scanning web apps, APIs, dependencies, secrets, and infrastructure to uncover vulnerabilities before attackers exploit them.

A comprehensive tool for establishing performance baselines across multiple dimensions. It measures Core Web Vitals (LCP, CLS, INP), API latency (p50, p95, p99), and development build efficiency. Essential for detecting performance regressions before merging code, ensuring stability in CI/CD pipelines, and comparing alternative stack implementations.

Gradio is a powerful Python library designed for creating interactive web user interfaces and showcasing machine learning demos quickly. This skill covers core patterns like Interface, Blocks, and ChatInterface, allowing users to build complex applications, components, and event-driven chatbots with minimal effort. Ideal for rapid prototyping and deep learning model visualization.

This skill details the deployment of various canary tokens (DNS, HTTP, AWS API Keys) across enterprise network infrastructure. It establishes digital tripwires that detect behavioral anomalies, such as unauthorized access, credential leakage, or lateral movement. Tokens are configured with webhook alerts (Slack, SIEM) for real-time, low-false-positive notification, significantly enhancing traditional IDS/IPS capabilities.

This guide details the Hexagonal Architecture (Ports and Adapters) pattern, a robust method for decoupling core business logic from external infrastructure concerns. It teaches how to structure applications to make the domain model independent of databases, UI frameworks, or message queues. Implementing this pattern drastically improves testability, maintainability, and the ability to swap out external services without rewriting business rules.

AgentPhone is an API-first platform designed for developers building AI agents with advanced telephony capabilities. It allows agents to manage phone numbers, make/receive voice calls, and handle SMS messages. Developers can utilize hosted mode for simple AI interactions or webhook mode for custom, complex logic, making it ideal for building sophisticated customer support bots or virtual assistants.

This tool enables deep inspection and validation of web applications by connecting to the browser's DevTools Protocol (MCP). It allows agents to perform tasks like DOM inspection, capturing console logs, monitoring network requests, profiling performance, and taking screenshots in a live environment. Essential for debugging UIs, validating API integrations, and performing end-to-end automated testing.

This skill provides comprehensive interaction with the DeerFlow AI agent platform via its robust HTTP API. It is designed for managing complex, multi-step AI workflows, including deep academic research, code execution, web browsing, and file analysis. Users can initiate and continue conversation threads, manage agent memory, upload documents (PDF, etc.), and delegate complex research tasks to the autonomous agent system.