Skill UI

Guides bug bounty hunters through API fuzzing and penetration testing, covering REST, SOAP, and GraphQL recon, authentication bypass, IDOR methods, injections, method abuse, GraphQL attacks, and payload delivery techniques.

Auto-activating skill that guides teams through creating validated Artillery load-testing configurations, offering best-practice patterns, sample scripts, and configuration validation for performance, load, and benchmarking use cases.

Auto-activating skill that guides teams through creating validated Artillery load-testing configurations, offering best-practice patterns, sample scripts, and configuration validation for performance, load, and benchmarking use cases.

Guides automated bottleneck identification within performance testing, offering step-by-step advice, auto-generated configurations, validation against standards, and coverage of load, stress, benchmarking, and monitoring workflows.

Automates connection pool analyzer tasks for performance testing, offering best-practice guidance, code/config generation, and validation during load, stress, and benchmarking activities.

Automates cpu profiler configuration guidance for performance testing, covering load, stress, benchmarking, and monitoring scenarios to ensure best practices.

Guides systematic detection and exploitation of cross-site scripting and HTML injection flaws, covering stored/reflected/DOM vectors, payload crafting, and remediation advice for web security assessments.

This guide provides comprehensive strategies for scaling Customer.io integrations to handle high volumes of daily events. It covers implementing k6 load tests for performance benchmarking and outlines architectural patterns—from simple Direct APIs to complex Redis/Kafka queue-backed systems—ensuring reliability and managing API rate limits for massive data throughput.

Offers automated guidance for database query profiler tasks in performance testing, including best practices, code/config generation, and validation when working with load/stress benchmarking.

This resource provides a minimal working example for implementing a complete digital document signing workflow using the Documenso SDK. It comprehensively guides users through creating a document, uploading a PDF file, adding designated recipients, placing specific signature fields, and finally triggering the signing process via code examples (TypeScript, Python) or REST API calls. Use this when integrating document signing into new applications or testing core document management capabilities.

A comprehensive guide and toolkit for performing load testing, capacity planning, and implementing scaling strategies for Exa API integrations. It covers best practices for managing rate limits (QPS), using tools like k6, implementing caching (LRU), and optimizing search architectures for high-throughput, low-latency applications, such as RAG systems.

Performs authorized file path traversal assessments to map web inputs, craft traversal payloads, and document sensitive files that can be read, aiding defenders in hardening filesystem handling during security reviews.