trace-grants

Analyze grant flow networks from IRS 990 filings to detect funding chains and circular flows.

Updated Feb 18, 2026

Search Tags:#investigation #network analysis #nonprofit #grant analysis #funding chains

Ready to run

npx skills add https://github.com/tcole333/ithildin --skill trace-grants

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: trace-grants
Source: https://github.com/tcole333/ithildin/tree/main/.claude/skills/trace-grants
Command: npx skills add https://github.com/tcole333/ithildin --skill trace-grants

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides in-depth analysis of grant flow networks, helping to identify funding chains, detect circular flows, and uncover shared officers between organizations.

Core Features & Use Cases

Grant Flow Network Analysis: Map nonprofit funding chains and detect circular flows.
Shared Officer Mapping: Identify organizations with shared officers to reveal potential coordination.
Co-Grantor Clustering: Generate hypotheses about coordinated funding networks.
Red Flag Analysis: Flag entities with financial anomalies or governance issues.
Cross-Reference Against Investigation: Link grant network entities to broader investigations.

Quick Start

Run the trace-grants skill on the organization with EIN 522166327 to analyze its grant flow network.

Frequently Asked Questions about trace-grants

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

FAQPage Schema

How do I analyze grant flow networks from IRS 990 filings?▼

You can analyze grant flow networks from IRS 990 filings by running Python scripts to map nonprofit funding chains, detect circular flows, and uncover shared officers between organizations.

What is the best way to detect shared officers between nonprofit organizations?▼

Detecting shared officers between nonprofit organizations is achieved by cross-referencing IRS 990 filing data to map overlapping board members and reveal potential coordination.

How do I identify circular funding flows in nonprofit networks?▼

You identify circular funding flows in nonprofit networks by analyzing IRS 990 grant data to trace funding chains and flag entities with financial anomalies or governance issues.

Do I need Python to extract grant data from IRS 990 filings for compliance audits?▼

Yes, you need Python installed to run the extraction and analysis scripts that process IRS 990 filings for investigative research and compliance audits.

Can I cross-reference grant network entities against a broader investigation?▼

You can cross-reference grant network entities against broader investigations by mapping co-grantor clusters and linking flagged financial anomalies to your existing compliance audit data.

When should I not use network analysis for nonprofit grant tracking?▼

You should avoid using network analysis for nonprofit grant tracking when IRS 990 filing data is incomplete or unavailable, as accurate funding chain detection relies entirely on these structured records.