Skill UI

This skill manages the strategic distribution of a single core idea across various social media platforms, including X, LinkedIn, Threads, and Bluesky. Instead of simply cross-posting the same content, it uses advanced content adaptation techniques to adjust the tone, format, and focus for each specific platform. This ensures the message remains consistent while optimizing for native platform constraints, preventing duplication and maximizing engagement.

This skill provides comprehensive integration with the X (Twitter) API, enabling users to programmatically post, read, search, and analyze tweets and timelines. It covers essential authentication patterns (OAuth 2.0 and OAuth 1.0a), rate limit handling, and best practices for building robust X integrations and bots.

Security guardrails embedded in the mortgage plugin that block prompt injection and social-engineering tricks, stop system prompt extraction, guard PII and pricing logic, enforce workflow phases, and ensure conversational inputs stay within refinance scope.

Guides social selling by combining profile optimization, Sales Navigator targeting, and content-to-conversation flows so LinkedIn engagement turns into qualified pipeline meetings without touching technical implementation.

This skill enables deep analysis of malware families using the Malpedia API. It allows users to retrieve canonical aliases, associated threat actors, and YARA detection rules, and map complex relationships like loader-payload chains. Ideal for threat intelligence research, incident response, and building automated detection signatures.

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.

A comprehensive skill for building detailed threat actor profiles. It systematically collects and correlates intelligence from diverse open-source sources, including vendor reports, dark web forums, social media, and code repositories. The resulting structured dossiers map adversary motivations, capabilities, infrastructure, and Tactics, Techniques, and Procedures (TTPs), enabling robust attribution and defensive planning.

This guide outlines the process of passive external reconnaissance using Open Source Intelligence (OSINT) techniques. Users can map an organization's digital footprint by gathering comprehensive data, including DNS records, subdomains, certificate transparency logs, social media profiles, and leaked credentials. It is critical for the planning phase of penetration testing, asset mapping, or preparing for social engineering, all without actively interacting with target systems.

This comprehensive skill guides users through designing and executing advanced social engineering penetration tests. It covers simulating real-world attacks, including phishing (email), vishing (voice), smishing (SMS), and physical pretexting. The goal is to measure an organization's human security resilience, identify training gaps, and test security controls across multiple vectors using tools like GoPhish and SET.

This guide outlines the comprehensive process for planning and executing authorized vishing (voice phishing) pretext calls. Used in red teaming exercises, it assesses employee susceptibility to social engineering attacks and evaluates the effectiveness of existing security awareness controls. Key steps include OSINT research, developing believable pretexts (e.g., IT helpdesk impersonation), structured call execution, and collecting detailed metrics.

This skill provides comprehensive guidelines for detecting Business Email Compromise (BEC), a sophisticated fraud scheme. It covers detection techniques using email gateway rules, behavioral analytics, and robust financial process controls. Learn to identify red flags like unusual payment requests, domain mismatches, and patterns of social engineering to protect against financial loss.

This system deploys advanced AI, NLP, and behavioral analytics to detect sophisticated Business Email Compromise (BEC) attacks. Unlike traditional filters that rely on malicious links, this solution analyzes writing style, tone, grammatical patterns, and contextual anomalies to identify pure social engineering impersonation, providing a robust defense layer against advanced phishing and fraud.