Trend Monitor Skill

Monitor multiple sources for trending medical/health topics and misinformation.

When to Use

•"What's trending in medical misinformation?"
•"What health topics are patients asking about?"
•Heartbeat periodic checks
•Building the weekly trending topics report

Source Scanning Workflow

Run these in order. Each builds on the previous.

1. Google Trends — Health Category

code

browser → navigate to https://trends.google.com/trending?geo=US&category=health
browser → snapshot (get trending topics list)

Extract: Topic name, search volume, trend direction (rising/breakout).

2. Reddit — Health Communities

Scan these subreddits (sort by hot + rising):

code

browser → navigate to https://www.reddit.com/r/health/hot/
browser → snapshot

browser → navigate to https://www.reddit.com/r/askdocs/hot/
browser → snapshot

browser → navigate to https://www.reddit.com/r/nutrition/hot/
browser → snapshot

Extract: Post titles, upvotes, comment counts. Look for:

•"Is X true?" questions
•"My doctor said... but I read online..."
•Viral health claims
•Supplement/treatment discussions

3. YouTube — Health Channels

Check recent uploads from key channels:

code

browser → navigate to https://www.youtube.com/@hubaboratorylab/videos
browser → snapshot

browser → navigate to https://www.youtube.com/@DrEricBerg/videos  
browser → snapshot

browser → navigate to https://www.youtube.com/@Medcram/videos
browser → snapshot

Extract: Video titles, view counts, upload dates. Flag anything >100K views in <48h.

4. Cross-Reference with Grok

Use Grok API to validate and expand:

bash

curl -s https://api.x.ai/v1/chat/completions \
  -H "Authorization: Bearer $GROK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-2",
    "messages": [
      {"role": "system", "content": "You are a medical trend analyst. Identify trending health misinformation topics based on current social media and news."},
      {"role": "user", "content": "What are the top 5 trending medical misinformation topics right now? Include where they are trending (platform, influencer, etc.)"}
    ]
  }' | jq -r '.choices[0].message.content'

5. Check Official Sources

bash

# CDC MMWR recent reports
web_fetch → https://www.cdc.gov/mmwr/index.html

# FDA safety alerts
web_fetch → https://www.fda.gov/safety/recalls-market-withdrawals-safety-alerts

# WHO news
web_fetch → https://www.who.int/news

Output Format

After scanning, compile into a ranked list:

markdown

## Trending Medical Topics — [DATE]

### 🔴 High Priority (trending across 2+ sources)

1. **[Topic]** — Trend velocity: [Rising/Breakout]
   - Google Trends: [volume/direction]
   - Reddit: [post count, engagement]
   - YouTube: [video, views]
   - Origin: [who started it, when]
   - Evidence status: [Debunked / Misleading / Nuanced / Emerging]

### 🟡 Medium Priority (trending on 1 source, high engagement)

### 🟢 Watch List (emerging, not yet viral)

Scoring

Rank topics by:

•Cross-platform presence (2+ sources = high priority)
•Velocity (how fast is it growing?)
•Patient impact (will patients ask their doctor about this?)
•Misinformation risk (how wrong/dangerous is the claim?)
•Content opportunity (can MDLinx add unique value?)