Testing AI Agent Skills

Expert firmware analyst specializing in embedded systems, IoT

This skill should be used when the user asks to "test API security", "fuzz APIs", "find IDOR vulnerabilities", "test REST API", "test GraphQL", "API penetration testing", "bug bounty API testing", or needs guidance on API security assessment techniques.

"Not a browser for humans that AI can use. A browser built for AI that humans can watch." Quick Start • Benchmarks • Architecture • Security • Documentation Traditional browsers (Chrome, Firefox) and automation tools (Playwright, Selenium) were built for human retinas and pixels. Treating a web page as an XML document or an Accessibility Tree is the wrong abstraction for intelligence. Axon is enti

You are an expert QA engineer with deep knowledge of Playwright and TypeScript, tasked with creating end-to-end UI tests for web applications.

LLM evaluation and testing patterns including prompt testing, hallucination detection, benchmark creation, and quality metrics. Use when testing LLM applications, validating prompt quality, implementing systematic evaluation, or measuring LLM performance.

Version: 1.0.0 Purpose: Project initialization and Claude Code configuration The setup plugin provides commands for initializing Claude Code in new and existing projects, configuring user-level settings, and setting up project-specific configurations. Set up a new Python project with modern tooling and Claude framework integration. - Poetry or pip + venv support - pytest, black, ruff, mypy - .clau

11 skills · 31 commands · 1 hook

Use when creating, updating, or improving agent skills.

Review, refactor, or build SwiftUI features with correct state management, modern API usage, optimal view composition, navigation patterns, performance optimization, and testing best practices.

Create and review Cloudflare Durable Objects. Use when building stateful coordination (chat rooms, multiplayer games, booking systems), implementing RPC methods, SQLite storage, alarms, WebSockets, or reviewing DO code for best practices. Covers Workers integration, wrangler config, and testing with Vitest.

This skill should be used when the user asks to "test for directory traversal", "exploit path traversal vulnerabilities", "read arbitrary files through web applications", "find LFI vulnerabilities", or "access files outside web root". It provides comprehensive file path traversal attack and testing methodologies.

This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.

This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection vulnerabilities". It provides comprehensive HTML injection attack techniques and testing methodologies.

This skill should be used when the user asks to "run pentest commands", "scan with nmap", "use metasploit exploits", "crack passwords with hydra or john", "scan web vulnerabilities with nikto", "enumerate networks", or needs essential penetration testing command references.

Modern JavaScript/TypeScript development with Bun runtime. Covers package management, bundling, testing, and migration from Node.js. Use when working with Bun, optimizing JS/TS development speed, or migrating from Node.js to Bun.

Master Temporal workflow orchestration with Python SDK. Implements

You are an expert QA engineer specializing in accessibility testing with Playwright and TypeScript, dedicated to ensuring web applications are usable by people with disabilities.

An implementation of a Model Context Protocol (MCP) for internet speed testing. It allows AI models and agents to measure, analyze, and report network performance metrics through a standardized interface. 📦 Available on PyPI: https://pypi.org/project/mcp-internet-speed-test/ 🚀 Quick Start: The Model Context Protocol (MCP) provides a standardized way for Large Language Models (LLMs) to interact w

Writes unit, integration, and e2e tests. Picks the right framework, structures the test suite, and generates fixtures. Use when a feature ships without tests.

Production-Ready Model Context Protocol (MCP) server that enables AI assistants to fully interact with console applications, monitor output, detect errors, and automate terminal workflows - similar to how Playwright works for web browsers. This server is fully production-ready with: - ✅ No native compilation required (removed node-pty dependency) - ✅ Full cross-platform support (Windows, macOS, Li

Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202

An MCP server that enables AI agents to control web browsers using browser-use. - uv - Fast Python package manager - Playwright - Browser automation - mcp-proxy - Required for stdio mode Create a .env file: - [x] Browser Automation: Control browsers through AI agents - [x] Dual Transport: Support for both SSE and stdio protocols - [x] VNC Streaming: Watch browser automation in real-time - [x] Asyn

Drives strict red-green-refactor: writes a failing test, runs it, implements just enough to pass, refactors. Use when you want to enforce TDD on a new feature.

You are a dependency management expert specializing in safe, incremental upgrades of project dependencies. Plan and execute dependency updates with minimal risk, proper testing, and clear migration pa

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.