Skill UI

This skill outlines security best practices for the TwinMind AI meeting assistant. It covers crucial aspects like on-device audio processing, encrypted cloud backups, and managing microphone permissions. Use it when setting up new TwinMind instances or managing AI operations to ensure data privacy, compliance, and robust security for sensitive meeting data.

This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

This skill guides users through implementing comprehensive security measures for Vercel deployments. It covers best practices for secret management (using sensitive environment variables), configuring critical HTTP security headers (such as CSP and HSTS), protecting preview environments, and enforcing robust access control for API routes and deployment tokens.

This skill thoroughly inspects and validates Vertex AI Agent Engine deployments. It assesses critical components such as the Code Execution Sandbox, Memory Bank, A2A protocol compliance, security posture, and performance metrics. The tool generates weighted production-readiness scores (0-100%) and provides detailed, actionable recommendations to ensure the deployment is robust, secure, and ready for production use.

A comprehensive guide to securing development workspaces using Windsurf. This skill teaches how to apply best practices for workspace isolation, prevent sensitive data (secrets, PII) from leaking into AI indexes, manage telemetry, and ensure compliance by configuring exclusion files and security rules.

Automates zero trust configuration support for advanced security operations, offering guidance, code/config generation, and validation whenever zero trust config helper topics arise during penetration testing, compliance, or threat modeling workflows.

Expert resource for designing, deploying, and optimizing serverless applications on the Cloudflare Edge Network. Covers advanced topics including Workers, KV, D1, Durable Objects, and R2 storage. Ideal for building high-performance, low-latency full-stack applications and implementing edge security features.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

This comprehensive guide details advanced forensic techniques for detecting and analyzing sophisticated malware that operates at the system's deepest levels, such as the Master Boot Record (MBR), Volume Boot Record (VBR), and UEFI firmware. It covers boot sector disassembly, UEFI module inspection, and memory forensics (SSDT/DKOM). Use this when standard security tools fail or when investigating nation-state level compromises.

This skill outlines the comprehensive process of memory forensics on compromised Linux systems. It guides users through acquiring volatile memory using the LiME kernel module and analyzing the resulting image with the Volatility 3 framework. Key artifacts extracted include process lists, network connections, bash history, and loaded kernel modules, making it an essential technique for incident response, threat hunting, and security investigations.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

This skill provides a structured methodology and Python implementation for monitoring and analyzing data leak sites (DLS) associated with ransomware groups. It helps security analysts track victim postings, extract threat intelligence on group tactics, assess sector-specific risks, and understand evolving ransomware threat landscapes for proactive defense.