Skill UI

Guides intercepting HTTP traffic, modifying requests, using Repeater, defining scope, and running Burp Suite scans for systematic web application security testing.

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.

Guides security testers through identifying, exploiting, and remediating insecure direct object references in web apps, with methods covering reconnaissance, request manipulation, Burp Suite automation, and reportable mitigation steps.

Provides production-ready bash templates for Linux admins to automate backups, monitor resources, manage users, and handle security tasks across servers and pen-testing setups.

Guides authorized practitioners through Nmap, Masscan, Nessus, OpenVAS, Burp Suite, and OWASP ZAP for network discovery, vulnerability assessment, web application testing, wireless security, and compliance reporting across diverse environments.

Automatically scans modern API frameworks (Next.js, Express, FastAPI, Django) to generate comprehensive, ready-to-run test suites. It ensures complete coverage for critical areas including authentication, input validation (boundary/injection), error code matrices, pagination, file uploads, and rate limiting. Ideal for TDD, contract testing, and security audits.

This comprehensive guide outlines a rigorous, human-in-the-loop engineering workflow for leveraging advanced AI agents to complete complex implementation tasks. It mandates defining clear completion criteria, decomposing work into manageable units, and strategically routing models (Haiku, Sonnet, Opus) based on task complexity. The workflow emphasizes continuous evaluation, regression testing, security review of invariants and edge cases, and strict cost discipline to ensure robust and reliable software development using AI assistance.

A command-line utility designed to search, extract, and analyze data from Burp Suite project files (.burp). It allows users to search request/response headers and bodies using complex regex patterns, extract security audit findings, or gather proxy/site map data. Essential for deep analysis of captured HTTP traffic in web security testing, while providing safeguards against large data overflows.

This comprehensive guide details the use of FFUF, a fast web fuzzer written in Go. It is designed for advanced security penetration testing, providing techniques for content discovery, subdomain enumeration, parameter fuzzing, and POST data testing. Learn to master the FUZZ keyword, advanced filtering, and auto-calibration to efficiently identify hidden paths and potential vulnerabilities in web applications.

Leverages Monte Carlo-based simulation to spot potential software vulnerabilities by feeding randomized inputs into modules, tracking failure likelihoods, and highlighting risky code paths for security testing.

Automates the final pre-release verification by running documentation, quality, testing, and security gates through the Centinela QA agent before shipment, then records results and verdict in docs for each version.

A powerful toolkit utilizing Objection and Frida for authorized mobile penetration testing. It enables deep runtime analysis of iOS applications, allowing users to inspect sensitive data in the keychain, filesystem, and memory. Key capabilities include bypassing client-side protections such as SSL pinning and jailbreak detection without requiring source code access.