CSV Data Summarizer

Name: CSV Data Summarizer Review
Item: CSV Data Summarizer
Rating: 3.0
Author: Aaron Matthews

Skill Data & Analytics Usable

Works inClaude Code

Usable Reviewed

Auto-analyzes CSVs for column types, distributions, and correlations, and produces summary reports with visualizations without manual pandas setup.

Automatically analyze CSVs for column types, distributions, and correlations. Produces summary reports for data exploration.

Generate a quick data profile from any spreadsheet file
Spot missing values and outliers before starting analysis
Create summary statistics without writing analysis code

447 starsFreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Auto-analyzes CSVs for column types, distributions, and correlations, and produces summary reports with visualizations without manual pandas setup.

Best for

Data analysts and business users who want quick data profiling from CSV files without writing analysis code.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/coffeefuelbump/csv-data-summarizer-claude...

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

Download csv-data-summarizer.zip from the repo releases, then in Claude.ai go to Settings > Capabilities > Skills, upload the zip, and enable the skill.

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

First thing to try

After installing, paste this into Claude:

Help me generate a quick data profile from any spreadsheet file

CostFree

Trust Signals Reviewed

Stars447Contributors1Last updated2025-10-16Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-14 · scanner v1

Reviewer notes

Reviewed review. These are observations, not a security certification.

295 stars. Quick data exploration. Useful for business analysts working with CSV exports.

Community tool. Source reviewed.

Things to check

Works best on small to medium CSVs; performance degrades on files with thousands of columns or millions of rows. Correlation analysis assumes numeric data and may miss non-linear relationships.
Single maintainer. Consider the risk if this person stops maintaining the project.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedApr 2026

295 stars. Quick data exploration. Useful for business analysts working with CSV exports.

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