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read-xlsx

Analyze and validate spreadsheet workbooks to extract structure and data integrity issues.

Updated Apr 1, 2026
Search Tags:#spreadsheet#benchmark#data-analysis#xlsx#data-integrity#experiment-logs
One-click install
npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill read-xlsx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: read-xlsx
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/read-xlsx
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill read-xlsx

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers quickly analyze and validate spreadsheet workbooks (xlsx/xlsm/csv/tsv), extracting structure, key tables, and data integrity issues to accelerate experiments and reviews.

Core Features & Use Cases

  • Inventory workbook structure: sheet names, visible/hidden status, and named ranges.
  • Extract and sanity-check benchmark tables, ablations, logs, and reviewer sheets.
  • Validate formulas and cross-sheet consistency to catch data integrity issues.
  • Use cases include auditing experiment results, compiling summaries, and preparing data sheets for publication.

Quick Start

Load the target spreadsheet and ask ARIS to produce a structured summary for review.

Frequently Asked Questions about read-xlsx

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

FAQPage Schema
How do I validate data integrity in an xlsx spreadsheet for experiment logs?▼

To validate spreadsheet integrity, load your xlsx experiment logs to extract structure and check cross-sheet consistency. The tool generates a risk report highlighting structural anomalies and formula conflicts for quick review.

What is the best way to extract benchmark tables from a spreadsheet workbook?▼

Extracting benchmark tables involves inventorying sheet names, visible and hidden statuses, and named ranges. The tool sanity-checks ablations and reviewer sheets to produce an ARIS-friendly structured summary for publication.

Can I inspect hidden sheets and formulas in csv or xlsm files?▼

Inspecting hidden sheets and formulas in xlsm files is fully supported, alongside xlsx, csv, and tsv formats. The tool uses pandas or openpyxl to extract structure and validate formulas when upstream tooling is unavailable.

How do I audit cross-sheet consistency for reviewer sheets and ablations?▼

Auditing cross-sheet consistency for reviewer sheets requires validating formulas and checking data references across the workbook. The tool identifies mismatches and compiles a structured summary of data integrity risks.

Do I need pandas or openpyxl installed to analyze spreadsheet structure?▼

You do not strictly need pandas or openpyxl pre-installed to analyze spreadsheet structure, as the tool supports upstream tooling first. It only falls back to pandas or openpyxl for inspection when upstream tools are unavailable.

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