madguyevans-creator/resale-agent-skill-hub/broker-price

broker-price: Authenticated Price Research

Searches prices across all bound platforms using the user's own account session — the same search they'd do manually in each app. No web scraping, no anti-bot issues.

Workflow

1. Receive product info (from broker-recognize or user description)
2. Build platform-specific search queries
3. For each bound platform with valid session:

• Search active listings → extract prices, conditions
• Search sold listings → extract actual transaction prices

1. Calculate:

• Price range (min → max)
• Median active listing price
• Median sold price (preferred metric)
• Market sentiment (seller-favorable / balanced / buyer-favorable)

1. Recommend price: median of sold comparables (when available), or 5% below active median (when no sold data)
2. Present transparency report with data sources

Script

python3 scripts/research.py --product product.json
    # Searches all bound platforms, outputs transparency report

Fallback

If session-based search fails (expired session, platform API change), fall back to Claude Code's WebSearch for comparable listings. Results from fallback are clearly labeled as lower-confidence estimates.