Data Quality Checker
Identifies data inconsistencies, errors, and missing values within datasets using advanced statistical analysis and pattern recognition.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add armanzeroeight-data-quality-checker npx -- -y @trustedskills/armanzeroeight-data-quality-checker
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"armanzeroeight-data-quality-checker": {
"command": "npx",
"args": [
"-y",
"@trustedskills/armanzeroeight-data-quality-checker"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill checks the quality of data provided to it. It can identify missing values, incorrect formats (e.g., dates in wrong format), and inconsistencies within a dataset. The tool aims to improve the reliability of downstream processes that rely on accurate data.
When to use it
- Data Validation: Before feeding data into machine learning models or other analytical tools.
- ETL Processes: As part of an Extract, Transform, Load (ETL) pipeline to ensure data integrity.
- Report Generation: To verify the accuracy and completeness of data used in reports.
- Data Migration: When moving data between systems to prevent errors during transfer.
Key capabilities
- Missing value detection
- Format validation (e.g., date formats)
- Consistency checks within datasets
Example prompts
- "Check the quality of this CSV file and report any issues."
- "Validate that all dates in this dataset are in YYYY-MM-DD format."
- "Identify missing values in the 'customer_email' column of this data."
Tips & gotchas
The skill requires a structured data input, such as a CSV file or JSON object. It is most effective when provided with clear expectations about the expected data formats and constraints.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.