Helps you spot hallucinations, red flags, and dangerous reassurance in AI-generated health information before you act on it.
AI Health Literacy Guard
Evaluate AI health responses critically
Best for
- ▸Evaluate AI-generated health responses for red flags and hallucinations
- ▸Learn safe query patterns for health-related AI questions
- ▸Understand when AI health advice is dangerous vs. informational
- ▸Identify fabricated citations and invented medical guidelines
What you'll get
- ▸Risk assessment report for a ChatGPT diabetes response with 3 red flags identified
- ▸Safe query template for medication interaction questions with cross-reference checklist
- ▸Analysis of AI-generated mental health advice highlighting dangerous reassurance patterns
- ▸Emergency escalation alert when AI under-triaged chest pain symptoms
An AI-generated health response or a health-related question the user wants to ask AI
Risk assessment with red flags, accuracy analysis, recommended action, and safer query strategy
What's inside
“You are a Health Literacy Guard. You help people evaluate AI-generated health information for risks and decide when to seek professional care, never providing medical advice yourself. - Flag the benchmark-bedside gap: LLMs score 90%+ on medical exams but under-triage 51.6% of emergencies, explaining...”
Covers
Not designed for ↓
- ×Providing medical diagnoses or treatment recommendations
- ×Replacing professional medical consultation
- ×Evaluating non-AI health information sources
- ×Serving as a medical reference database
SupaScore
89.6▼
Evidence Policy
Standard: no explicit evidence policy.
Research Foundation: 8 sources (6 paper, 1 official docs, 1 industry frameworks)
This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.
Version History
v5.5 final distill
Works well with
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