qa-financials

Compare external GL data against a SmartModel's R-GL tab and generate a markdown discrepancy report.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of tying out a customer's raw GL export against the R-GL tab in their SmartModel, ensuring financial data accuracy.

Core Features & Use Cases

  • Automated GL Reconciliation: Automatically compares external source data against imported model data.
  • Roll-Up Sanity Check: Verifies major totals before diving into line-level detail.
  • Line-Level Tie-Out: Matches account numbers and values between source and R-GL data.
  • Markdown Report: Generates a markdown report highlighting discrepancies and issues.

Quick Start

Use the qa-financials skill to QA the GL export for [Customer] [Month Year].

Frequently Asked Questions about qa-financials

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

FAQPage Schema
How do I automate GL reconciliation between an external export and my model?

Automated GL reconciliation compares external general ledger data against imported model data, matching account numbers and values to identify discrepancies automatically. It performs roll-up sanity checks before verifying line-level details.

What is a roll-up sanity check in financial data QA?

A roll-up sanity check verifies major totals in your general ledger data before diving into line-level detail. This ensures overall financial data accuracy by confirming that aggregated totals match between source and model.

How do I tie out raw GL export data against an imported model?

To tie out raw GL export data, the Skill matches account numbers and values line-by-line against the model's R-GL tab, identifying discrepancies and generating a markdown report detailing all findings.

Do I need the smartmodel-protocol to reconcile general ledger data?

Yes, you need the smartmodel-protocol to provide context and access to the SmartModel data required for general ledger reconciliation. The protocol supplies the R-GL tab data needed for comparison.

Can I generate a markdown report detailing GL discrepancies automatically?

Yes, you can generate a markdown report automatically that highlights discrepancies and issues found during the general ledger QA process. The report details findings from both roll-up totals and line-level tie-outs.

Does this GL QA process support line-level matching of account numbers?

Yes, the GL QA process supports line-level matching of account numbers and values between the external source data and the model's R-GL tab. It identifies specific discrepancies at the line level after verifying roll-up totals.