Skill UI

This skill facilitates the ingestion of unstructured clinical notes and reports from FHIR R4 EHR APIs (e.g., Epic, Cerner). It handles complex tasks including paginating large search results, decoding base64 attachments (PDF, text), and extracting narrative content. The extracted text is then passed to the OpenMed pipeline for HIPAA-compliant de-identification and subsequent NLP analysis, enabling structured data insights from raw clinical records.

This tool tests your deep understanding of code you have recently written or reviewed. It generates structured, multi-level questions (Recall, Understanding, Application, Analysis, Synthesis) based on the provided code. Users can focus the quiz on specific areas like error handling, performance, or security, making it an excellent mechanism for continuous learning and solidifying technical knowledge.

This skill decodes complex pipe-delimited HL7 v2.x messages (including ADT, ORU, MDM) into structured segments and fields. It is essential for ingesting HL7 feeds from interface engines, allowing users to surface embedded clinical narratives (OBX-5 and NTE-3) for subsequent Natural Language Processing (NLP) analysis. It also provides segment-aware de-identification capabilities to redact PHI while preserving the native HL7 message structure.

This comprehensive guide outlines a structured methodology for conducting authorized security testing on desktop thick clients (Win/macOS/Linux). It covers critical attack vectors, including local storage analysis, Inter-Process Communication (IPC) vulnerabilities, network traffic interception, client-side trust boundaries, and advanced reverse engineering techniques using tools like IDA and Ghidra.

This skill guides the researcher through the comprehensive process of updating the AI agent security threat intelligence database. It involves executing targeted searches for new malicious skills, CVEs, attack vectors, and defensive tools. The process mandates critical analysis, de-duplication, risk assessment, and structured version control to maintain a cutting-edge security posture for AI agents.

This guide outlines a structured methodology for authorized wireless security assessments. It covers essential techniques such as Wi-Fi data capture, WPA/WPA2 handshake analysis, and rogue Access Point detection. It is designed for assessing corporate network security, verifying wireless isolation, and providing professional penetration testing recommendations, strictly adhering to legal scope and authorization.

A comprehensive, structured guide for reverse engineering and analyzing managed .NET/C# binaries. This skill covers the full workflow, including initial identification (CLR check), deobfuscation (using tools like de4dot), static analysis via IL view (dnSpyEx), and dynamic debugging. It is essential for analyzing malware, red team tools, and patching compiled C# applications.