Skill UI

An interactive tool designed to discover, select, and assemble specialized teams of AI agents. It supports structured agent collections across different domains (e.g., Engineering, Marketing). Users select multiple roles for a specific task, and the skill launches them in parallel, synthesizing their independent findings into a unified report, including consensus and conflict analysis.

A comprehensive framework for testing REST and GraphQL APIs against Broken Object Level Authorization (BOLA) and Insecure Direct Object Reference (IDOR). This tool simulates an attacker's behavior by systematically intercepting and modifying object identifiers (IDs, UUIDs, slugs) within API calls. It helps identify critical authorization flaws, ensuring that an authenticated user cannot access or modify resources belonging to other tenants or users, adhering to OWASP API Security Top 10.

A comprehensive methodology for penetration testing web applications to identify broken access control vulnerabilities. This guide covers systematic testing for Role-Based Access Control (RBAC), privilege escalation, insecure direct object references (IDOR), and API authorization flaws in multi-tenant environments. It outlines the use of tools like Burp Suite and ffuf to map endpoints and simulate various user roles.

This playbook guides Security Operations Center (SOC) analysts through a comprehensive, multi-step process for triaging and prioritizing security incidents. It covers receiving alerts from SIEM/EDR, enriching data using threat intelligence feeds (VirusTotal, AbuseIPDB), classifying the incident type (MITRE ATT&CK mapping), and calculating a severity score based on asset criticality and data sensitivity. The workflow culminates in automating ticket creation and triggering immediate response procedures via tools like PagerDuty.

This tool allows users to systematically evaluate and rank the outputs of multiple agents within an AgentHub session. It supports metric-based evaluation (running custom commands for measurable metrics like speed or resource usage), or an advanced LLM Judge Mode. The LLM Judge compares results based on criteria like correctness, simplicity, and overall quality, helping users determine the best-performing agent for the task.

A lightweight CLI tool for systematically comparing various coding AI agents (such as Claude Code, Aider, and Codex) head-to-head. It measures crucial metrics—pass rate, API cost, execution time, and consistency—on reproducible tasks defined via YAML manifests. Use this to objectively select the best agent for your codebase or to validate model updates before production deployment.

This tool audits the token consumption across all components (agents, skills, rules, MCP servers) within a Claude Code session. It analyzes token overhead, identifies bloat (e.g., overly long descriptions, redundant components), and generates a detailed context budget report. Use it to maintain optimal context window usage, improve performance, and prevent context saturation.

Connects to the MAXIA AI-to-AI marketplace on the Solana blockchain. This tool allows users to discover, buy, and sell AI services directly between decentralized agents. Features include comprehensive crypto intelligence, such as sentiment analysis and trending data; DeFi yield tracking; Web3 wallet security analysis (e.g., rug detection); and real-time GPU pricing, making it a comprehensive hub for Web3 AI interactions.

PydanticAI is a robust Python framework that integrates Pydantic's type-checking and validation capabilities into Large Language Models (LLMs). It allows developers to build production-ready AI agents that guarantee structured, validated outputs, moving beyond simple raw strings. Key features include supported tool calling, dependency injection for testability, and multi-model compatibility across major providers like OpenAI, Anthropic, and Gemini. Use this when reliability and correct data structure are paramount.

This guide assists developers in designing and architecting Model Context Protocol (MCP) servers that integrate deeply with LLMs like Claude. It is not a coding skill, but a comprehensive consultation process that guides users through use case interrogation, determines the optimal deployment model (e.g., Remote HTTP, MCPB), and selects the appropriate tool-design pattern for seamless, robust integration.

MCPB is a specialized local server bundle that packages the entire runtime environment (Node.js or Python) alongside the server code. It allows developers to distribute and run complex MCP services directly on a user's machine without requiring the user to pre-install specific runtimes or toolchains. Use this when the server must interact with the local filesystem, desktop applications, or OS-level APIs.

Demonstrates the SKILL.md layout and frontmatter options for creating a user-invoked slash command, outlining argument parsing, tool usage, and documentation so developers can replicate the structure.