interrogate-model

Trace numerical values through formula dependencies and driver chains in financial models.

1|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/Bainbridge-Growth/drivepoint-plugins --skill interrogate-model
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: interrogate-model
Source: https://github.com/Bainbridge-Growth/drivepoint-plugins/tree/main/plugins/smartmodel/skills/interrogate-model
Command: npx skills add https://github.com/Bainbridge-Growth/drivepoint-plugins --skill interrogate-model

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires smartmodel-protocol, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill answers ad-hoc questions about financial model data by tracing numbers back through formula dependencies and driver chains, helping users understand where numbers come from and how they are calculated.

Core Features & Use Cases

  • Ad-hoc Data Tracing: Trace numbers back through formula dependencies and driver chains.
  • Explain Numbers: Provide explanations for why a figure is what it is.
  • Use Case: When a user asks, "where does that number come from?", "why is revenue $X?", or any specific data question related to a financial model.

Quick Start

Ask the AI, "Where does the revenue number come from in the Q1 financial model?"

Frequently Asked Questions about interrogate-model

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

FAQPage Schema
How do I trace where a specific number comes from in a financial model?

To trace financial model numbers, you need a tool that traces numerical values back through formula dependencies and driver chains. This approach explains exactly where figures originate and how they are calculated.

Why does a specific revenue figure calculate to a certain amount in my financial model?

To explain why a revenue figure is a specific amount, financial model analysis traces the value back through its formula dependencies. This reveals the underlying driver chain and data sources used for the calculation.

Do I need a specific protocol to analyze formula dependencies in financial models?

Yes, analyzing formula dependencies requires access to model data and the smartmodel-protocol. This protocol provides the necessary structural access for the tracing mechanism to map driver chains accurately.

What is the best way to understand model data sources and dependencies for ad-hoc queries?

The best way to understand model data sources for ad-hoc queries is using dependency analysis to trace numbers through formula chains. This directly answers questions about specific figures without manual auditing.

Can I explain numbers and trace data sources in any financial model?

You can explain numbers and trace data sources in financial models that are accessible via the required protocol. The model must be structured so that formula dependencies and driver chains can be parsed.

How does dependency analysis work for tracing numbers in financial modeling?

Dependency analysis for financial modeling works by tracing numerical values back through their underlying formulas and driver chains. It maps the calculation path to show exactly how a specific figure is derived.