Verified:GitHub

investigacao-policial

Name: investigacao-policial
Availability: InStock
Author: diegocamara89

Extract and cross-reference IPs, IMEIs, phones, and transactions to verify authorial convergence in fraud investigations.

3|3|Updated Apr 5, 2026

Search Tags:#investigation #multi-agent #evidence #fraud #authorship #digital-forensics #ip-convergence

Ready to run

npx skills add https://github.com/diegocamara89/ai-skills-hub --skill investigacao-policial

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: investigacao-policial
Source: https://github.com/diegocamara89/ai-skills-hub/tree/main/all-skills/investigacao-policial
Command: npx skills add https://github.com/diegocamara89/ai-skills-hub --skill investigacao-policial

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides operational workflows to extract, organize, and validate evidence across multiple data sources to establish authorial convergence and materiality in fraud investigations.

Core Features & Use Cases

Extraction and cross-source correlation of IPs, IMEIs, phones, accounts, and transactions
Multi-source convergence analysis to determine author of fraud while maintaining chain-of-custody
Real-world use case: a fraud case combining WhatsApp logs, bank transfers, and court records to establish a robust author attribution

Quick Start

Provide the case files and let the system begin structured multi-source analysis to establish authorial convergence.

Frequently Asked Questions about investigacao-policial

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

FAQPage Schema

How do I establish authorial convergence in a digital fraud investigation?▼

To establish authorial convergence in a digital fraud investigation, you extract and cross-reference evidence like IPs, IMEIs, and transaction data across multiple sources. This validates connections between suspects and fraudulent activities.

How do I cross-reference evidence from WhatsApp logs and bank transfers for fraud schemes?▼

Cross-referencing evidence from WhatsApp logs and bank transfers involves extracting phone numbers, account details, and transaction data, then mapping these data points across sources to identify patterns and confirm materiality.

What is the best way to extract and validate digital forensics evidence for identity theft cases?▼

The best way to validate digital forensics evidence for identity theft is using a structured multi-agent workflow to extract IPs and phone numbers, cross-reference court records, and maintain a strict chain-of-custody during validation.

Can I use structured extraction to link IMEIs and phone numbers across different data sources?▼

Yes, structured extraction allows you to link IMEIs and phone numbers across data sources by systematically mapping these identifiers against messaging apps, bank accounts, and court records to confirm author attribution.

Does this fraud investigation workflow require specific case files to begin analysis?▼

Yes, this fraud investigation workflow requires you to provide case files to begin. The system then initiates structured multi-source analysis to extract identifiers and establish authorial convergence automatically.

What limitations exist when validating authorship attribution across financial fraud and court records?▼

Limitations in validating authorship attribution depend on the availability and consistency of extracted data. Accurate convergence requires precise source references from court records and banking logs to avoid validation gaps.