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shared-device-analysis

Analyze phone numbers to identify shared devices and assess risk.

Updated Jun 2, 2026
Search Tags:#risk assessment#fraud detection#phone network#shared device#device pool
One-click install
npx skills add https://github.com/bettercallfan/deerflow --skill shared-device-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: shared-device-analysis
Source: https://github.com/bettercallfan/deerflow/tree/main/skills/custom/phone-network-analysis/shared-device-analysis
Command: npx skills add https://github.com/bettercallfan/deerflow --skill shared-device-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill identifies shared device relationships between phone numbers, helping to uncover suspicious activities and high-risk associations.

Core Features & Use Cases

  • Shared Device Analysis: Detects shared devices among two or more phone numbers.
  • Device Pool Analysis: Identifies device pools and clusters of devices associated with a single number.
  • Risk Assessment: Assesses the risk level of devices and associated phone numbers.
  • Use Case: For instance, when investigating potential fraud or suspicious activities in a phone network, this Skill can help identify shared devices and associated phone numbers, providing valuable insights for further investigation.

Quick Start

Use the shared-device-analysis skill to analyze the shared devices for a specific phone number.

Frequently Asked Questions about shared-device-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect shared devices between phone numbers for fraud detection?▼

You can analyze shared devices by inputting two or more phone numbers to determine if they share devices. This process requires access to phone network data and analysis tools to identify shared device relationships effectively.

What is a device pool and how does shared device analysis identify them?▼

Shared device analysis requires access to phone network data and analysis tools to function effectively. You need to provide two or more phone numbers to determine if they share devices and generate a risk assessment.

Can I assess the risk level of a phone number using shared device relationships?▼

For phone network fraud investigation, shared device analysis provides valuable insights by identifying shared devices and associated phone numbers. It detects shared relationships among numbers to assess risk levels and support further investigation.

How do I find clusters of devices associated with a single phone number?▼

Shared device analysis is specifically designed for identifying shared device relationships in phone networks. It uncovers suspicious activities and high-risk associations by analyzing two or more phone numbers and their shared devices.

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