csv-analyzer

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Analyze CSV files to generate summary statistics, detect data quality issues, and produce formatted reports.

everruns By everruns schedule Updated 6/12/2026
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name: csv-analyzer description: Analyze CSV files to generate summary statistics, detect data quality issues, and produce formatted reports. license: MIT compatibility: Python 3.10+ metadata: category: data-processing version: "1.0" allowed-tools: read_file write_file bash

CSV Analyzer

Analyze CSV data files to produce summary statistics and quality reports.

When to Use

Activate this skill when a user provides a CSV file and wants:

  • Summary statistics (row count, column types, missing values)
  • Data quality analysis (duplicates, outliers, formatting issues)
  • A formatted report

Instructions

  1. Read the CSV file using the read_file tool
  2. Run the analysis script at /skills/csv-analyzer/scripts/analyze.py
  3. Review the output and present findings to the user

Analysis Steps

Step 1: Load Data

python3 /skills/csv-analyzer/scripts/analyze.py /workspace/data.csv

Step 2: Review Output

The script outputs a JSON report with:

  • row_count: Total number of rows
  • column_count: Number of columns
  • columns: Array of column metadata (name, type, null_count, unique_count)
  • quality_issues: Array of detected problems

Step 3: Present Results

Format the results as a readable summary table for the user.

References

See /skills/csv-analyzer/references/ for additional documentation on CSV analysis best practices.

Install via CLI
npx skills add https://github.com/everruns/everruns --skill csv-analyzer
Repository Details
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