Skill UI

A comprehensive workflow for extracting, parsing, and analyzing Windows Event Logs (EVTX). It guides security professionals in using advanced tools like Chainsaw and Hayabusa, combined with Sigma rules, to detect critical security incidents such as lateral movement, privilege escalation, and persistence mechanisms during incident response and digital forensic investigations.

This skill guides implementing robust code signing for software artifacts (binaries, packages, containers). It ensures integrity and authenticity throughout the entire software supply chain. Learn to use traditional methods like GPG and modern, keyless approaches like Sigstore (cosign) to establish trust chains, verify provenance, and meet compliance standards (e.g., SLSA).

This skill provides a comprehensive guide to implementing advanced memory protection mechanisms on Windows endpoints. It covers critical techniques like Data Execution Prevention (DEP), Address Space Layout Randomization (ASLR), and Control Flow Guard (CFG). Use this when hardening systems against various memory corruption exploits, such as buffer overflows and ROP chains, to significantly boost overall security posture.

In-toto is a CNCF standard project used to verify the integrity of software supply chains. It generates cryptographically signed attestations (link metadata) at every stage of the CI/CD pipeline, proving exactly what artifacts were produced and who authorized the process. This is crucial for securing container builds and ensuring compliance against tampering.

This skill defines the process and framework for establishing mandatory Service Level Agreements (SLAs) for mitigating identified vulnerabilities. It guides users on how to calculate remediation timeframes based on vulnerability severity (CVSS, KEV), asset criticality (Tier 1, 2, 3), and exploit availability. The process includes setting up escalation chains, defining exception processes, and tracking key performance indicators (KPIs) like Mean Time to Remediate (MTTR) to ensure robust security governance and compliance.

BloodHound is an open-source reconnaissance tool that leverages graph theory to analyze Active Directory relationships. This guide details the process of collecting AD data using SharpHound and visualizing complex attack paths. It helps identify potential privilege escalation chains, trust abuses, and misconfigurations necessary for an attacker to move from a low-privilege user account to Domain Admin, making it essential for advanced red-teaming and security auditing.

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.

GoldRush API by Covalent lets agents query wallet balances, token prices, transaction history, DEX pairs, and live OHLCV across 100+ chains via REST, CLI, SDK, or WebSocket, avoiding chain-specific plumbing.

MCPB is a specialized local server bundle that packages the entire runtime environment (Node.js or Python) alongside the server code. It allows developers to distribute and run complex MCP services directly on a user's machine without requiring the user to pre-install specific runtimes or toolchains. Use this when the server must interact with the local filesystem, desktop applications, or OS-level APIs.

This skill provides comprehensive forensic analysis of cryptocurrency payment flows stemming from ransomware attacks. It leverages blockchain APIs and advanced techniques to identify wallet clusters, track fund movement through obfuscation methods like mixers and peel chains, and map funds to exchanges. It is crucial for law enforcement, incident responders, and threat intelligence analysts conducting ransomware attribution.

Guides researchers through organizing assumptions, invariant objects, notation, and derivation maps to turn loose goals, messy notes, or partial formula chains into a coherent package suitable for paper-style theory drafts or blocker reports.

This utility ensures the prevention of silent floating-point mismatch bugs across all EVM chains. It covers runtime querying of decimals, chain-aware caching, handling precision drift in bridged tokens, and safe normalization for bots, dashboards, and DeFi tools. It is crucial for accurate cross-chain balance comparison.