Skill UI

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.

Automated guidance for thread dump analyst tasks within performance testing, offering best practices, configuration templates, code snippets, and validation support when working on load, stress, benchmark, or monitoring scenarios.

This skill acts as an expert test automation specialist, capable of analyzing source code across multiple languages (Python, JavaScript, TypeScript, etc.). It generates comprehensive, maintainable unit test suites using best practices, maximizing code coverage, and specifically targeting edge cases and exception handling. Use it to ensure high code quality and structural consistency.

This guide details how to integrate Vast.ai's GPU provisioning capabilities into automated CI/CD pipelines, such as GitHub Actions. It enables developers to run GPU-accelerated tests, model benchmarks, and validations automatically. Key features include robust instance lifecycle management (provisioning, running, and cleanup) and advanced cost-control mechanisms (e.g., setting budget limits) to ensure reliable and efficient testing in a cloud environment.

Run targeted file path traversal assessments to find directory traversal and LFI vulnerabilities across web parameters, verify exploitation payloads, and document sensitive files exposed via automated fuzzing and manual checks.

Guides using SQLMap to automate SQL injection discovery, enumerate databases/tables/columns, dump data, and collect hashes across MySQL/PostgreSQL/MSSQL/Oracle during authorized penetration tests.

Hypogenic automates LLM-driven hypothesis generation and testing over tabular datasets, blending literature insights with empirical analysis to accelerate discovery in domains like deception detection or AI content evaluation.

Guides writing and running Odoo TransactionCase, HttpCase, and browser-tour tests, covering setup, tagging, and CLI commands so you can add CI-friendly automation for models and controllers.

This tool provides bidirectional synchronization between Playwright end-to-end tests and TestRail test management. Users can import comprehensive test cases from TestRail to generate Playwright test files, push test execution results (pass/fail/skip) back to TestRail, create new test runs, and keep test coverage synchronized across both platforms. It manages the entire automated testing lifecycle.

A comprehensive strategy for regression testing in AI-assisted development. It focuses on identifying systematic blind spots, such as schema inconsistencies between sandbox and production paths, and integrating automated bug checks into the development workflow. This guide teaches how to build robust, database-free API tests to ensure code quality when AI models contribute to the codebase.

This skill orchestrates a complete automated pipeline for discovering research ideas. It chains literature review, brainstorming, novelty checks, and pilot testing with GPU constraints to produce validated concepts and experiment plans.

This skill guides the deployment and implementation of Breach and Attack Simulation (BAS) platforms. It provides a continuous, automated method to validate security control effectiveness against real-world attacker techniques mapped to the MITRE ATT&CK framework. Use this when moving beyond traditional point-in-time penetration testing to establish continuous control validation and automated adversary emulation across the entire IT environment.