Data Integrity Auditor

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by patricio0312rev · vlatest · Repository

Automatically identifies inconsistencies, errors, and anomalies within datasets to ensure data accuracy and reliability.

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 data-integrity-auditor npx -- -y @trustedskills/data-integrity-auditor
2

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

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

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

About This Skill

What it does

The data-integrity-auditor skill enables AI agents to verify the accuracy, consistency, and reliability of information within datasets or knowledge bases. It acts as a specialized validator to ensure that processed data meets defined standards before further analysis or deployment.

When to use it

  • Validating output from other AI agents before finalizing reports or decisions.
  • Checking for hallucinations or inconsistencies in generated text against source documents.
  • Ensuring database records match expected formats and logical constraints after bulk updates.
  • Auditing knowledge base entries for factual accuracy prior to public release.

Key capabilities

  • Detects discrepancies between raw data and processed results.
  • Validates consistency across multiple data points or sources.
  • Identifies potential integrity issues in structured datasets.

Example prompts

  • "Run an integrity audit on the sales report generated earlier to check for any numerical inconsistencies."
  • "Verify that the customer contact information in this list matches the official database records."
  • "Audit the research summary for factual accuracy against the provided source articles."

Tips & gotchas

This skill requires access to the original data sources or ground truth documents to perform effective comparisons. It is most effective when used as a final step in a workflow to catch errors before they propagate downstream.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
patricio0312rev
Installs
35

🌐 Community

Passed automated security scans.