audit-export

Audit Excel and CSV export implementations for accounting report integrity.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/ElPoot/contabilidad --skill audit-export
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-export
Source: https://github.com/ElPoot/contabilidad/tree/main/.agents/skills/audit-export
Command: npx skills add https://github.com/ElPoot/contabilidad --skill audit-export

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents silent mistakes in exported accounting reports by auditing Excel/CSV outputs for incorrect money conversions, inconsistent columns, and ambiguous report naming so you can trust the numbers you ship.

Core Features & Use Cases

  • Currency & amount conversion checks: Verifies how monetary fields and exchange rates are parsed, converted, and written into Excel formatting.
  • Column and multi-sheet consistency review: Confirms header/column definitions match DataFrame outputs, including worksheet names and the presence/handling of a rejected-items sheet.
  • Report naming and path construction auditing: Checks filename patterns (month/period tokens), collision behavior when files already exist, and where the exports land.

Quick Start

Use this skill when you mention exporting monthly cuts to Excel or CSV and ask it to audit the actual export implementation for the specified files and output artifacts.

Frequently Asked Questions about audit-export

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

FAQPage Schema
How do I audit Excel and CSV exports for monetary conversion errors?

To audit Excel and CSV exports for column consistency, you verify that header definitions match DataFrame outputs across multiple worksheets, confirm sheet naming conventions, and check the correct handling of any rejected-items sheets in the accounting reports.

What is report path and filename traceability in monthly accounting cuts?

Report path and filename traceability in monthly accounting cuts is the validation of filename patterns using period tokens, checking file collision behavior when overwriting existing files, and verifying the exact destination where exported reports are saved.

How do I validate Excel to_csv and to_excel DataFrame column definitions?

Validating Excel to_csv and to_excel DataFrame column definitions requires reviewing the real code behavior in export scripts to confirm that worksheet headers align with the DataFrame structure and that multi-sheet outputs maintain consistent column mappings.

What are common silent mistakes in exported accounting reports?

Common silent mistakes in exported accounting reports include incorrect money conversions from decimal parsing issues, inconsistent column definitions across worksheets, and ambiguous report naming that causes file overwrites or misplaced export paths.

When do I need to audit a Python export workflow for accounting reports?

You need to audit a Python export workflow for accounting reports when generating monthly cuts to Excel or CSV, specifically to trace real code behavior in export modules and ensure monetary fields, sheet structures, and file paths are consistently generated.