metadata-leak-audit

Detect personal information leaks in application logs, files, and headers.

Updated Jun 22, 2026

Search Tags:#compliance #security audit #data privacy #PII detection #metadata leak

Ready to run

npx skills add https://github.com/skylarsabo/code-ops --skill metadata-leak-audit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: metadata-leak-audit
Source: https://github.com/skylarsabo/code-ops/tree/main/plugins/privacy-opsec-suite/skills/metadata-leak-audit
Command: npx skills add https://github.com/skylarsabo/code-ops --skill metadata-leak-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps identify personal information leaks in logs, telemetry, errors, headers, and file metadata, ensuring compliance with privacy and security standards.

Core Features & Use Cases

Audit Metadata Sources: Detects metadata across various sources like logs, files, and headers.
Minimize Leaks: Provides actionable recommendations to reduce the risk of data breaches.
Use Case: Use this Skill to scan your application's metadata for sensitive information before deploying to production.

Quick Start

Run the metadata-leak-audit skill to scan for leaks in your application's metadata.

Frequently Asked Questions about metadata-leak-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I detect personal information leaks in application logs and headers?▼

To detect personal information leaks, scan your application logs, files, and headers to identify exposed PII across various metadata sources, ensuring compliance with strict privacy regulations.

What is metadata leak detection and when do I need it?▼

Metadata leak detection identifies sensitive personal information exposure in logs, telemetry, errors, and file metadata. You need it before deploying to production to ensure systems comply with privacy and security standards.

How do I audit metadata sources for sensitive data exposure?▼

You audit metadata sources by scanning structured data across logs, files, and headers to locate personal information. This process requires dedicated scanning capabilities to analyze and identify potential privacy leaks.

Can I use this to minimize PII detection risks in production environments?▼

Yes, you can minimize PII detection risks by running a metadata audit before production deployment. It provides actionable recommendations to reduce data breach risks across your application's telemetry and files.

What are the limitations of automated metadata leak audits?▼

Automated metadata leak audits require existing scanning capabilities and structured data analysis to function effectively. They focus strictly on identifying personal information exposure and may not detect unstructured or deeply obfuscated leaks.