Project overview
Nigerian-Prince-Scam-Detector analyzes emails, SMS, direct messages, screenshots, voice transcripts, `.eml` files, URLs, phone numbers, and crypto wallet addresses for scam indicators. It combines header forensics, domain and wallet checks, scam-database references, and location-aware plausibility checks, then saves a Markdown report while explaining the con in a distinctive narrator voice. It asks only for a city and country, not a street address.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- May 26, 2026
- Default branch
- main
Resource types
General skill
Use cases
Security and privacy
Platforms
Claude Code, Codex, and more
Capabilities
Verification and evals