osint-investigation

Name: osint-investigation
Availability: InStock
Author: Aayushsoam

Conduct OSINT investigations across public records sources with entity resolution and evidence chains.

1|1|Updated May 25, 2026

Search Tags:#investigation #osint #entity resolution #public records #cross-link analysis

Ready to run

npx skills add https://github.com/aayushsoam/clawbot-agent --skill osint-investigation-aayushsoam

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: osint-investigation
Source: https://github.com/aayushsoam/clawbot-agent/tree/main/optional-skills/research/osint-investigation
Command: npx skills add https://github.com/aayushsoam/clawbot-agent --skill osint-investigation-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, csv, datetime, json, re, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables you to perform comprehensive OSINT investigations using public records from various sources, simplifying the process and saving you time.

Core Features & Use Cases

Public Records Access: Access a wide range of public records including SEC EDGAR filings, USAspending contracts, OFAC sanctions, ICIJ offshore leaks, property records, and more.
Entity Resolution: Identify and resolve entities across different sources, even when the naming varies.
Cross-Link Analysis: Build cross-links with explicit confidence levels and perform statistical timing correlation.
Evidence Chains: Construct structured evidence chains for various investigation scenarios.
Use Case: Conduct a thorough investigation into a company's financial history, ownership, and legal issues by accessing and analyzing SEC filings, lobbying disclosures, sanctions lists, and property records.

Quick Start

Use the osint-investigation skill to search for SEC EDGAR filings for a specific company 'XYZ Inc'.

Frequently Asked Questions about osint-investigation

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

FAQPage Schema

How do I conduct an OSINT investigation using public records like SEC EDGAR and OFAC sanctions lists?▼

OSINT investigation using public records involves querying sources like SEC EDGAR, USAspending, and OFAC to build structured evidence chains. This skill automates entity resolution and cross-link analysis to connect financial, legal, and ownership data across disparate databases.

What is cross-link analysis in open source intelligence and how does it resolve entities?▼

Cross-link analysis in open source intelligence identifies and resolves entities across different public records sources even when naming varies. It builds cross-links with explicit confidence levels and applies statistical timing correlation to establish structured evidence chains.

Can I use Python to access ICIJ offshore leaks and property records for background checks?▼

Yes, you can use Python to access ICIJ offshore leaks, property records, and court records for background checks. This skill requires the Python standard library and specific tools to query these diverse data sources and perform global news monitoring.

What is the best way to analyze a company's financial history and lobbying disclosures?▼

The best way to analyze a company's financial history and lobbying disclosures is by cross-referencing SEC filings, USAspending contracts, and global news monitoring. This approach aggregates data to identify ownership structures, legal issues, and financial anomalies.

Does this OSINT investigation skill require any special database dependencies or APIs?▼

This OSINT investigation skill does not require external database software but relies on the Python standard library including requests, csv, datetime, json, and re. It uses these modules to access public records sources and format the resulting cross-link analysis data.

When should I use statistical timing correlation in a public records investigation?▼

Statistical timing correlation in a public records investigation is used when you need to validate cross-link analysis confidence levels. It compares dates across SEC EDGAR filings, USAspending contracts, and court records to establish chronological evidence chains linking entities.