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osint-investigation

Cross-reference public records to resolve entity identities and uncover hidden relationships.

1|Updated Jun 25, 2026
Search Tags:#investigation#osint#sanctions#entity-resolution#due-diligence#public-records#evidence-chains
One-click install
npx skills add https://github.com/Signmanal/VIGIL --skill osint-investigation-signmanal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: osint-investigation
Source: https://github.com/Signmanal/VIGIL/tree/main/optional-skills/research/osint-investigation
Command: npx skills add https://github.com/Signmanal/VIGIL --skill osint-investigation-signmanal

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the problem of manually cross-referencing fragmented public records to uncover hidden relationships between entities, which is extremely time-consuming and error-prone when done by hand across SEC filings, federal contracts, sanctions lists, property records, court documents, and global news archives.

Core Features & Use Cases

  • Multi-Source Entity Resolution: Normalize and match entity names across SEC EDGAR, USAspending, OFAC SDN, ICIJ Offshore Leaks, NYC ACRIS property records, OpenCorporates, CourtListener, Wikipedia/Wikidata, and GDELT news using exact, fuzzy, and token-overlap matching with explicit confidence tiers.
  • Statistical Timing Correlation: Run permutation tests to determine if event timing clusters suspiciously close together, such as lobbying filings near contract awards, producing p-values and effect sizes to distinguish signal from noise.
  • Auditable Evidence Chains: Automatically generate structured findings JSON where every claim traces back to specific source rows with confidence levels, ensuring full auditability and preventing unsupported assertions.
  • Use Case: An investigator can trace whether a federal contractor appearing in USAspending also lobbies through Senate LD disclosures, holds NYC property via ACRIS, or appears in OFAC sanctions lists, with all cross-links and timing anomalies documented in a single evidence chain.

Quick Start

Use the osint-investigation skill to investigate "Example Corp" by fetching its SEC EDGAR filings, USAspending contracts, and Senate lobbying records, resolving entities across these sources, and generating a structured findings report with evidence chains.

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 to resolve entity identities and uncover hidden corporate relationships?▼

Cross-referencing public records to resolve entity identities is automated by normalizing names across SEC filings, sanctions lists, and property records using exact, fuzzy, and token-overlap matching with explicit confidence tiers.

What is the best way to detect suspicious timing between lobbying activity and federal contract awards?▼

Detecting suspicious timing between lobbying activity and contract awards is achieved by running permutation tests that determine if event clusters are statistically significant.

How do I build auditable evidence chains from fragmented OSINT data without external dependencies?▼

Building auditable evidence chains from fragmented OSINT data without external dependencies is handled by deterministic, stdlib-only Python scripts that normalize records and output structured JSON findings.

Can I use stdlib-only Python scripts to perform three-tier entity matching across SEC EDGAR and OFAC sanctions lists?▼

Yes, you can use stdlib-only Python scripts to perform three-tier entity matching across SEC EDGAR and OFAC sanctions lists.

What sources are supported for multi-source due diligence investigations involving offshore leaks and property records?▼

Multi-source due diligence investigations involving offshore leaks and property records are supported across ICIJ Offshore Leaks, NYC ACRIS, OpenCorporates, CourtListener, USAspending, and GDELT news archives.

Why does manual cross-referencing of government contracts and corporate filings fail to find hidden entity relationships?▼

Manual cross-referencing of government contracts and corporate filings fails to find hidden entity relationships because fragmented public records are extremely time-consuming and error-prone to process by hand.

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