Provenance Audit

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by dadbodgeoff · vlatest · Repository

Verify data origin and transformations to detect tampering or inaccuracies, ensuring trust and accountability.

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 provenance-audit npx -- -y @trustedskills/provenance-audit
2

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

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

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

About This Skill

What it does

The provenance-audit skill analyzes data or documents to determine their origin and history. It can trace back steps in a process, identify sources of information, and assess the reliability of data based on its lineage. This helps users understand how data was created and modified over time, enabling better decision-making.

When to use it

  • Investigating Data Anomalies: When unexpected results arise from a dataset, use this skill to trace back the data's journey and identify potential sources of error or bias.
  • Verifying Information Sources: Before relying on critical information, employ provenance audit to confirm its origin and assess the trustworthiness of the source.
  • Compliance Audits: For regulatory compliance, track the lifecycle of documents or datasets to demonstrate adherence to data governance policies.
  • Debugging AI Pipelines: When an AI model produces unexpected outputs, use this skill to trace back through the data processing pipeline to identify issues in data preparation or feature engineering.

Key capabilities

  • Data lineage tracing
  • Source identification
  • Reliability assessment based on origin
  • Process history analysis

Example prompts

  • "Trace the provenance of this document and list all modifications."
  • "What are the original sources for this dataset?"
  • "Assess the reliability of this data point, considering its lineage."

Tips & gotchas

The effectiveness of the audit depends on the availability of metadata or logging related to the data's creation and modification. Without sufficient historical information, the skill’s ability to provide a complete provenance analysis will be limited.

Tags

🛡️

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Details

Version
vlatest
License
Author
dadbodgeoff
Installs
15

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Passed automated security scans.