Skill UI

This comprehensive tool helps users set, track, and optimize personal health goals using deep data analysis. It validates goals against the SMART criteria (Specific, Measurable, Achievable, Relevant, Time-bound) and tracks progress by correlating diverse health data, including nutrition, exercise, and sleep patterns. Key features include habit formation analysis, motivation assessment, identifying roadblocks, and generating interactive reports with ECharts visualizations, providing a holistic view of wellness journeys.

Analyzes psychological health data to track PHQ-9/GAD-7 trends, detect emotional patterns, evaluate therapy progress, assess crisis risks, and correlate with sleep, fitness, nutrition, and chronic disease metrics to inform personalized wellness suggestions.

Analyze dietary and nutrient data, identify nutrition patterns, assess nutritional status, and generate personalized improvement advice. Also supports correlation analysis with exercise, sleep, weight, blood pressure, and blood sugar data.

Analyzes occupational health data to assess work-related risks, ergonomic issues, symptoms, and trends. Use it to generate personalized workplace health advice, screen for occupational hazards, and relate work factors to sleep, exercise, and mental health.

This comprehensive skill analyzes sleep data to identify patterns, assess quality, and detect potential sleep disorders. It tracks trends in sleep duration, efficiency, and consistency, and performs advanced correlation analysis with other health metrics like exercise, diet, and mood. The output provides actionable, personalized recommendations based on scientific data, helping users improve their overall sleep health.

Analyzes TCM constitution data to identify primary and mixed constitution types, assess traits and risks, and generate personalized wellness advice with links to nutrition, exercise, sleep, and trend tracking.

Parses Cobalt Strike malleable C2 profiles via pyMalleableC2 to pull beacon configs, HTTP communication patterns, sleep/jitter settings, and combines JARM scans for C2 detection when hunting suspected infrastructure or building IDS signatures.

Parse and examine Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike and pyMalleableC2, extracting URI/HTTP patterns, sleep/jitter settings, and injection tactics to detect evasion and generate network detection rules for SOC teams.

Detect sandbox evasion techniques in malware by analyzing Cuckoo/AnyRun reports for timing checks, VM artifacts, user interaction gaps, and sleep inflation, helping SOC analysts flag sophisticated evasions for deeper review.

An evidence-based coach providing guidance on fundamental wellness pillars: sleep hygiene, nutrition, exercise, and stress management. It uses behavior change science and motivational interviewing principles to help users build sustainable, lasting health habits. This tool is educational and motivational, designed to support general wellness journeys, and always emphasizes the critical need to consult healthcare professionals for diagnosis or treatment.