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.