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osint-investigation

Resolve entities and build evidence chains from public records.

Updated Jul 3, 2026
Search Tags:#investigation#osint#entity resolution#evidence chain#public records
One-click install
npx skills add https://github.com/LynxLabVN/office-agent --skill osint-investigation-lynxlabvn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: osint-investigation
Source: https://github.com/LynxLabVN/office-agent/tree/main/agent-core/optional-skills/research/osint-investigation
Command: npx skills add https://github.com/LynxLabVN/office-agent --skill osint-investigation-lynxlabvn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for public-records OSINT investigation, enabling users to perform entity resolution, cross-link analysis, timing correlation, and evidence chain construction.

Core Features & Use Cases

  • Entity Resolution: Automatically identify and match entities across various data sources with high accuracy.
  • Cross-Link Analysis: Build cross-links between entities with explicit confidence levels and statistical timing correlation.
  • Evidence Chain Construction: Produce structured evidence chains with confidence levels and detailed source information.
  • Use Case: Imagine you are investigating a corporation's financial transactions and need to verify the legitimacy of their business activities. Use this Skill to analyze corporate filings, contracts, lobbying disclosures, sanctions lists, and other public records to build a comprehensive evidence chain.

Quick Start

Use the osint-investigation skill to analyze a corporation's financial transactions and build an evidence chain.

Frequently Asked Questions about osint-investigation

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

FAQPage Schema
How do I build an evidence chain from public records for an OSINT investigation?▼

To build an evidence chain for an OSINT investigation, this framework analyzes public records to construct structured links with explicit confidence levels and detailed source information. It resolves entities across data sources like SEC EDGAR and ICIJ offshore leaks.

What data sources can I use for entity resolution and cross-link analysis?▼

For entity resolution and cross-link analysis, you can use SEC EDGAR, USAspending, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records, OpenCorporates, CourtListener, Wayback Machine, Wikipedia, and GDELT news monitoring.

Can I use this OSINT framework to investigate corporate financial transactions on Windows?▼

Yes, you can investigate corporate financial transactions using this OSINT framework on Windows, as well as Linux and macOS. It requires only the Python standard library to execute its investigative scripts.

Do I need Python dependencies like pdfplumber to extract court records for public records analysis?▼

You need Python stdlib for core script execution, but extracting court records and PDF-based public filings requires dependencies like pdfplumber, pypdf, and pdf2image to parse documents for the evidence chain.

What is the best way to verify corporate legitimacy through cross-link analysis and timing correlation?▼

The best way to verify corporate legitimacy through cross-link analysis is matching entities across sanctions lists and corporate registries with statistical timing correlation. This produces confidence-scored evidence chains for investigative workflows.

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