Analyze Sexual Health Data and Trends
Analyzes IIEF-5 scores, STD screening, contraception effectiveness, and cross-module health correlations - reference only, not medical diagnosis.
Why it matters
Leverage comprehensive sexual health data analysis to understand trends, assess risks, and provide insights into sexual wellness. This skill analyzes various health metrics, screening results, and lifestyle factors to offer a holistic view of sexual health.
Outcomes
What it gets done
Analyze IIEF-5 scores and assess erectile dysfunction severity.
Manage STD screening data, including risk assessment and frequency recommendations.
Evaluate contraceptive methods and track their effectiveness and side effects.
Log and analyze sexual activity patterns and satisfaction levels.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-sexual-health-analyzer | bash Overview
Sexual Health Analysis Skill
Analyzes IIEF-5 erectile function scores, manages STD screening schedules and risk scoring, evaluates contraceptive effectiveness, and correlates results with medication, chronic disease, psychological, nutrition, and exercise data. Use for structured sexual health trend analysis, screening schedules, or risk assessment - as a reference alongside professional medical care, not a substitute for it.
What it does
This skill provides comprehensive sexual health data analysis: IIEF-5 (International Index of Erectile Function-5) scoring analysis, STD screening management, contraception effectiveness evaluation, sexual activity statistics, and deep correlation analysis with medication, chronic disease, psychological, nutritional, and exercise modules. It carries an explicit medical disclaimer: its analysis and suggestions are for reference only and do not constitute medical diagnosis or treatment; all sexual health issues should be diagnosed and treated by a professional physician, analysis cannot replace a professional medical exam, and emergencies require immediate medical care.
Its IIEF-5 analysis runs the standard five-question, 0-25 point questionnaire (erectile confidence, achieving erection, penetration ability, maintaining erection, and intercourse satisfaction) covering the past six months, classifies erectile dysfunction (ED) severity across five bands from normal (22-25) to severe ED (5-7) with a recommended action per band, tracks score trends over time, and analyzes physiological risk factors (age, diabetes, cardiovascular disease, hypertension, obesity, low testosterone), psychological factors (performance anxiety, depression, stress, relationship issues), lifestyle factors (smoking, alcohol, inactivity, sleep quality), and medication factors (SSRIs, antihypertensives, antipsychotics, hormonal drugs), pairing each with lifestyle, psychological, and medical intervention options.
STD screening management details testing methods, window periods, at-risk populations, and recommended screening intervals for HIV, syphilis, chlamydia, gonorrhea, HPV, hepatitis B, and genital herpes, computes a behavioral risk score from partner count, protection use, and other factors into four risk tiers, and defines a positive-result workflow covering immediate action, treatment follow-up, and reinfection prevention. Contraception management analyzes typical-use and perfect-use effectiveness, benefits, drawbacks, and side-effect tracking for condoms, oral contraceptives, IUDs, implants, injections, withdrawal, fertility awareness methods, and sterilization, plus satisfaction scoring and switch-reason analysis. A sexual activity log records activity type, duration, protection use, subjective satisfaction, and special circumstances, with explicit privacy protections (sensitive-data flagging, encryption recommendations, user-controlled deletion and selective export), and its own statistics layer runs pattern recognition correlating activity timing with the menstrual cycle, mood or stress levels, and medication use.
Cross-module correlation analysis connects sexual health to medication effects (PDE5 inhibitors, antidepressants, antihypertensives, hormonal drugs), chronic disease (diabetes and blood-glucose control, hypertension, cardiovascular disease - noting ED can precede angina by 2-3 years as an independent predictor - and obesity), psychological health (anxiety, depression, PTSD, body image, relationship quality), nutrition (zinc, arginine, vitamin D, magnesium, omega-3s, antioxidants, and a Mediterranean dietary pattern), and exercise (aerobic training, strength training, pelvic floor/Kegel exercises, and yoga), each tied to its documented effect on IIEF-5 scores or ED risk. The skill also computes weighted ED and STD risk scores, generates personalized recommendations by IIEF-5 band and risk level, and runs an alert system for periodic check-in reminders, score-decline warnings, high-risk behavior flags, and contraception-failure alerts. Reference clinical guidelines cited include WHO sexual health guidance, EAU and AUA erectile dysfunction/sexual dysfunction guidelines, and CDC STD screening and treatment guidelines, alongside the IIEF-5 and FSFI assessment instruments. Documented limitations: it cannot replace professional medical exams, lab tests, or physical exams, depends on the accuracy of user-entered records, and cannot guarantee complete accuracy or account for every individual factor.
When to use - and when NOT to
Use when analyzing sexual health records, screening status, contraceptive effectiveness, or related risk patterns; when a task involves IIEF-5 scoring, STD screening management, sexual activity statistics, or cross-module correlation analysis; or when a user requests a sexual health trend report or structured risk analysis. Its own quality-assurance process validates data completeness and consistency and checks results against clinical-guideline logic, but expert review only happens if a reviewer is actually available - it does not substitute for one.
Inputs and outputs
Inputs are the user's own logged sexual health records plus linked data from medication, chronic disease, psychology, nutrition, and exercise modules. Outputs include IIEF-5 score time series and trend charts, ED severity classifications, STD screening history timelines and personalized screening schedules, contraceptive method comparisons and effectiveness analysis, sexual activity frequency and satisfaction statistics, weighted risk scores, and personalized lifestyle and medical recommendations. Its analysis methods combine quantitative techniques (Pearson/Spearman correlation, linear regression and moving-average trend lines, weighted risk scoring) with qualitative review (symptom-pattern recognition and free-text complaint classification).
Who it's for
Health app users and their clinicians who need structured, longitudinal analysis of sexual health data - IIEF-5 trends, STD risk and screening schedules, contraceptive effectiveness, and cross-module correlations with medication, chronic disease, mental health, nutrition, and exercise - as a reference tool, not a diagnostic substitute. It also references the Chinese Medical Association's andrology guidelines and the SHEF assessment framework alongside IIEF-5 and FSFI.
FAQ
Common questions
Discussion
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