What problem does it solve? Identifying who owns a phone number is harder than it looks: carrier data goes stale after number porting, VoIP and burner numbers masquerade as real mobiles, and search engines fail to match the dozen different ways the same number gets written. This Skill provides a structured, legally-aware workflow for attributing a phone number with confidence grading instead of guesswork. ## Core Features & Use Cases - Normalization and Classification: Parses numbers to E.164 with libphonenumber and phoneinfoga, extracting country, national destination code, and line type (mobile, fixed, VoIP, toll-free). - Carrier and VoIP Analysis: Distinguishes live HLR lookups from stale prefix-table results, flags ported numbers, and detects virtual or burner numbers that are weak identity anchors. - Exhaustive String Search: Searches every written permutation of the number across multiple engines, breach corpora, and archived pages, with caller-ID aggregator results treated as unverified leads. - Use Case: A fraud analyst verifying a supplier before a payment runs the number, discovers it is a VoIP line whose reverse-lookup name traces to a single echoed source, but finds it in a cached trade directory under a company with a mismatched address — the discrepancy becomes the reportable finding. ## Quick Start Investigate the phone number +44 7700 900123 and tell me who it likely belongs to, its line type, and whether it appears on WhatsApp or Telegram.
