due-diligence

Automate end-to-end corporate due-diligence investigations with Hetherington CRAWL and CARA reporting.

1|Updated Apr 25, 2026

Search Tags:#sanctions #source-evaluation #due-diligence #ubo #regulatory-landscape #dd-framework #cara

Ready to run

npx skills add https://github.com/peterbamuhigire/digital-research-skills --skill due-diligence-peterbamuhigire

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: due-diligence
Source: https://github.com/peterbamuhigire/digital-research-skills/tree/main/skills/due-diligence
Command: npx skills add https://github.com/peterbamuhigire/digital-research-skills --skill due-diligence-peterbamuhigire

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates end-to-end corporate due-diligence investigations, applying robust frameworks to deliver verifiable findings and audit-ready outputs.

Core Features & Use Cases

3-phase DD workflow: planning, collection, and analysis with formal CARA reporting.
UBO trace & corporate-veil: trace ownership, link related parties, and surface shell signals.
Sanctions/PEP screening: multi-list checks with evidence-based verdicts and escalation-ready findings.
Regulatory landscape mapping: brokered domain mapping across jurisdictions to support compliance posture.
Reference-driven outputs: structured reports and evidence ladders anchored to canonical references (dd-framework-hetherington.md, dd-report-architecture.md, etc.).
Use Case: pre-investment background check for a target company, including governance, litigation, and regulatory risk.

Quick Start

Load the SKILL.md and initiate a standard 3-phase due-diligence investigation using the Hetherington framework and CARA reporting.

Frequently Asked Questions about due-diligence

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

FAQPage Schema

How do I conduct corporate due diligence with sanctions screening and UBO tracing?▼

Corporate due diligence can be automated using a 3-phase workflow—planning, collection, and analysis—using the Hetherington CRAWL framework. It delivers CARA-structured reports with UBO tracing, sanctions screening, and audit-ready evidence for pre-investment background checks and regulatory risk mapping.

What is CARA reporting architecture in due diligence investigations?▼

CARA reporting architecture provides structured, audit-ready outputs for due diligence investigations. It pairs with the Hetherington CRAWL framework to deliver evidence-based verdicts, formal source ladders, and escalation-ready findings for sanctions, PEP screening, and executive background checks.

How do I trace ultimate beneficial owners and corporate veil structures?▼

Tracing ultimate beneficial owners involves linking related parties and surfacing shell company signals within the due diligence collection phase. The workflow applies the Hetherington CRAWL framework to map ownership structures and generate traceable rationale for audit-ready UBO verification.

Does this due diligence framework support multi-list sanctions and PEP screening?▼

Yes, the due diligence framework supports multi-list sanctions and PEP screening across jurisdictions. It generates evidence-based verdicts and escalation-ready findings, mapping the regulatory landscape to support compliance posture and brokered domain mapping.

Can I use this for regulatory landscape mapping across multiple jurisdictions?▼

Yes, regulatory landscape mapping is supported across multiple jurisdictions to assess compliance posture. The due diligence workflow brokers domain mapping to identify regulatory risks, litigation, and governance issues for corporate investigations.

What sources do I need for audit-ready due diligence outputs?▼

Audit-ready due diligence outputs require structured sources and traceable rationale anchored to canonical references like dd-framework-hetherington.md and dd-report-architecture.md. The workflow pairs with source-evaluation and web-scraping foundations to build formal evidence ladders for verifiable findings.