Skill UI

A comprehensive guide detailing Next.js 16+ usage with Turbopack. Turbopack, written in Rust, is an incremental bundler designed to drastically speed up development startup and Hot Module Replacement (HMR) by utilizing file system caching. This document guides developers on best practices, differentiating between the default Turbopack usage and when to revert to Webpack for debugging or compatibility.

This tool automates the entire process of compiling a LaTeX source file into a submission-ready PDF. It handles multi-pass compilation, diagnoses common LaTeX errors (e.g., missing packages, undefined references, bibtex syntax errors), and iteratively attempts fixes to ensure the final document is accurate and adheres to specified page limits.

Automatically generates structured academic papers in LaTeX format. By integrating a detailed paper plan, the research narrative, and generated figures, this tool structures the content section by section. It supports major conference and journal templates (e.g., ICLR, NeurIPS, IEEE), manages complex citation fetching via DBLP/CrossRef, and allows structural guidance using reference papers. Ideal for drafting the complete manuscript.

This skill systematically enumerates and audits Active Directory forest trust relationships using advanced techniques like SID filtering analysis, detecting SID history abuse, and assessing inter-realm Kerberos ticket configurations. It is designed for red-teaming and security auditing to identify potential lateral movement paths and trust vulnerabilities across organizational boundaries.

Conducts a comprehensive Active Directory penetration test, covering domain enumeration, misconfiguration discovery, and attack path analysis using BloodHound. Techniques include exploiting Kerberos weaknesses (Kerberoasting, AS-REP Roasting) and escalating privileges via DCSync and constrained delegation, culminating in domain compromise demonstration.

This skill covers performing comprehensive vulnerability assessments across diverse environments, including on-premises infrastructure, cloud VMs, and container registries. It leverages standard network protocols like SSH (Linux) and WMI (Windows), coupled with advanced cloud provider APIs for analyzing disk snapshots without requiring local endpoint agents. Ideal for security auditing and compliance checks.

Automates the static security analysis of Android APK/AAB files using the Mobile Security Framework (MobSF). This skill identifies critical vulnerabilities such as hardcoded secrets, insecure permissions, weak cryptography, and structural flaws (mapping to OWASP Mobile Top 10) without requiring application execution. It is essential for integrating security gates into CI/CD pipelines, performing pre-release quality assurance, and enhancing penetration testing coverage.

This tool simulates advanced security testing to identify vulnerabilities in API rate limiting. It bypasses throttling controls by manipulating request headers (like X-Forwarded-For spoofing), varying source IP addresses, and manipulating endpoint paths. Essential for assessing API resilience against brute-force attacks, credential stuffing, and resource exhaustion, aligning with OWASP API Security guidelines.

A comprehensive guide for analyzing binary exploitation techniques, covering buffer overflows, ROP chains, and memory corruption vulnerabilities. It details the use of specialized tools like pwntools, checksec, and ROPgadget for identifying and developing exploits in ELF binaries during authorized security assessments and CTF challenges. Focuses on advanced offensive security practices.

This skill implements a comprehensive brand monitoring system to detect brand impersonation attacks across multiple digital attack surfaces, including domain squatting, social media profiles, phishing sites, mobile apps, and the dark web. It uses tools like dnstwist and integrates APIs (Google Safe Browsing, VirusTotal) to proactively identify unauthorized brand usage and potential cyber threats targeting an organization.

Cartography is a CNCF project designed to perform comprehensive cloud asset inventory across AWS, GCP, and Azure. It queries cloud APIs to aggregate infrastructure resources, map complex relationships (like IAM permissions and network paths), and store them in a Neo4j graph database. This allows security teams to visualize potential attack paths, conduct deep security audits, and identify cross-cloud misconfigurations.

Provides a workflow for authorized penetration testing across AWS, Azure, and GCP to discover IAM, storage, serverless, and compute weaknesses, leveraging Pacu, ScoutSuite, Prowler, and cloud-native tools.