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osint-investigation

Cross-reference public records to construct evidence chains for OSINT investigations.

Updated May 4, 2026
Search Tags:#investigation#osint#sanctions#due-diligence#public-records#corporate-registry
One-click install
npx skills add https://github.com/InverterNetwork/hermes-agent --skill osint-investigation-inverternetwork
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: osint-investigation
Source: https://github.com/InverterNetwork/hermes-agent/tree/main/optional-skills/research/osint-investigation
Command: npx skills add https://github.com/InverterNetwork/hermes-agent --skill osint-investigation-inverternetwork

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill solves the challenge of cross-referencing fragmented public records to uncover financial relationships, corporate ownership, and potential conflicts of interest.

Core Features & Use Cases

  • Multi-Source OSINT: Aggregates data from SEC filings, federal contracts, lobbying disclosures, sanctions lists, and global corporate registries.
  • Evidence Chain Construction: Automatically resolves entities across heterogeneous datasets and builds structured evidence chains with explicit confidence levels.
  • Use Case: Use this skill to investigate a company by cross-referencing their federal contract awards with lobbying activity and offshore corporate filings to identify potential pay-to-play patterns.

Quick Start

Use the osint-investigation skill to fetch SEC filings for a company and cross-reference them against federal contract data to 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 cross-reference public records and sanctions data for corporate due diligence?▼

Cross-referencing public records for due diligence involves aggregating corporate filings, government contracts, and sanctions data to resolve entities and build structured evidence chains with explicit confidence levels.

What is the best way to investigate corporate ownership using fragmented public records?▼

Investigating corporate ownership requires fetching and normalizing heterogeneous public records to automatically resolve entities across datasets, uncovering financial relationships and potential conflicts of interest.

How do I build an evidence chain from SEC filings and federal contract awards?▼

Building an evidence chain from SEC filings and federal contracts requires cross-referencing the datasets to map financial relationships, applying statistical analysis to normalize data and assign explicit confidence levels.

Do I need Python to cross-reference corporate registries and lobbying disclosures?▼

Yes, cross-referencing corporate registries and lobbying disclosures requires Python standard library execution to fetch, normalize, and statistically analyze data from heterogeneous public record sources.

Can I identify pay-to-play patterns by cross-referencing federal contracts with offshore corporate filings?▼

Yes, you can identify potential pay-to-play patterns by cross-referencing federal contract awards with lobbying activity and offshore corporate filings to construct structured evidence chains mapping corporate networks.

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