Data Quality Checker

🌐Community
by tradermonty · vlatest · Repository

Identifies and flags data quality issues in trading datasets, ensuring accuracy and reliability for Tradermonty's analysis.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add tradermonty-data-quality-checker npx -- -y @trustedskills/tradermonty-data-quality-checker
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "tradermonty-data-quality-checker": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/tradermonty-data-quality-checker"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The data-quality-checker skill assesses the quality of tabular data, identifying inconsistencies and potential errors. It can check for missing values, incorrect data types, and outliers within a dataset. This helps ensure that downstream analyses or models are built on reliable information.

When to use it

  • Data Validation: Before feeding data into a machine learning model, verify its accuracy and completeness.
  • Error Detection in Reports: Quickly identify potential errors in generated reports based on tabular data.
  • Cleaning Imported Data: Assess the quality of data imported from external sources like CSV files or databases.
  • Data Migration Checks: Ensure data integrity during migration processes between systems.

Key capabilities

  • Missing value detection
  • Incorrect data type identification
  • Outlier analysis

Example prompts

  • "Check this CSV file for missing values and incorrect data types: [file content]"
  • "Analyze the following table and flag any outliers: [table data]"
  • "Assess the quality of this dataset and provide a summary of potential issues: [dataset description]"

Tips & gotchas

The skill requires access to the data being checked, either as a file or in a structured format. The accuracy of the assessment depends on the clarity and completeness of the provided data; ambiguous datasets may yield less reliable results.

Tags

🛡️

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Details

Version
vlatest
License
Author
tradermonty
Installs
12

🌐 Community

Passed automated security scans.