Skill UI

Leverage Eric Zimmerman's EZ Tools suite for comprehensive Windows forensic artifact analysis. This guide details how to parse critical system data, including the Master File Table (MFT), registry hives, prefetch files, and event logs. Essential for digital forensics investigators and incident responders conducting deep system analysis.

Grype is an open-source vulnerability scanner from Anchore. It inspects container images, filesystems, and SBOMs for known CVEs. It leverages Syft-generated SBOMs to match packages against multiple vulnerability databases (NVD, GitHub Advisories). Use it for security assessments, auditing, and integrating into CI/CD pipelines to enforce vulnerability standards and manage supply chain risks.

This guide provides a deep dive into hardening AWS Identity and Access Management (IAM) configurations. It teaches advanced security practices, including enforcing the principle of least privilege, defining granular policy scopes, implementing permission boundaries, and leveraging Access Analyzer to ensure continuous compliance and minimize the blast radius of security breaches.

This skill provides advanced techniques and code examples for monitoring, mapping, and pivoting across adversary-controlled infrastructure. It leverages Passive DNS, Certificate Transparency logs, Shodan/Censys scanning, and network fingerprinting (JARM/JA3S) to discover C2 servers, phishing domains, and exploitable assets over time, which is crucial for advanced security operations and threat intelligence gathering.

Helps developers answer codebase questions by leveraging the `.understand-anything/knowledge-graph.json` graph; walks through project metadata, nodes, edges, and layers to explain dependencies and contexts.

Provide step-by-step explanations of specific files, functions, or modules, leveraging the understand-explain workflow to map graph context, layer placement, internal structure, and data flow for developers needing deep clarity.

This agent facilitates comprehensive debugging and testing of iOS applications running on a simulated environment. It leverages XcodeBuildMCP to manage the entire lifecycle, including building, running, interacting with the UI (tap, type, gesture), taking screenshots, and capturing detailed runtime logs. Use it whenever you need to simulate real-world app testing or diagnose issues on a booted simulator.

Coordinated end-to-end testing workflow that leverages Playwright for browser automation, visual regression comparisons, cross-browser coverage, and CI/CD integration so teams can validate web apps before release.

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.

This skill provides a managed cloud environment for training and fine-tuning advanced vision models. Users can build and customize models for object detection (e.g., DETR, YOLOS), image classification, and segmentation (SAM/SAM2). By leveraging Hugging Face Jobs, training is executed on powerful cloud GPUs without requiring local GPU setup, and all resulting models are automatically saved to the Hugging Face Hub.

This guide provides a comprehensive blueprint for implementing robust Data Loss Prevention (DLP) policies using Microsoft Purview. It covers the configuration of sensitivity labels (encryption, content marking) and the creation of custom DLP rules using regex patterns. The workflow extends to endpoint DLP deployment for controlling file operations on Windows and macOS devices, ensuring sensitive data protection across SharePoint, Exchange, and OneDrive. It leverages PowerShell and the Microsoft Graph API for advanced, programmatic compliance management.

This harness transforms standard code environments into fully persistent, autonomous agent systems. It leverages native features like scheduled tasks (Crons), remote dispatching, and structured memory storage (MCP) to enable continuous, self-directing automation. Ideal for building AI assistants that require long-term context, recurring workflows, and complex, multi-step operations, eliminating the need for external agent frameworks like AutoGPT.