trace-data-flows

Trace data flows through codebases to detect security vulnerabilities and integrity issues.

1|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/quangphu1912/codebase-analyzer --skill trace-data-flows
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trace-data-flows
Source: https://github.com/quangphu1912/codebase-analyzer/tree/main/skills/trace-data-flows
Command: npx skills add https://github.com/quangphu1912/codebase-analyzer --skill trace-data-flows

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies data flow vulnerabilities and helps analyze the movement of data within a codebase, uncovering potential security risks and ensuring data integrity.

Core Features & Use Cases

  • Data Flow Tracing: Tracks how data enters, transforms, persists, and exits a system.
  • Trust Boundary Mapping: Identifies trust level changes and explicit gates across data transformation points.
  • Side-Channel Analysis: Reveals hidden data flows through logging, metrics, and error messages.
  • Use Case: A developer can use this Skill to investigate the flow of sensitive data in a codebase and ensure proper validation and authorization checks are in place.

Quick Start

Use the 'trace-data-flows' skill to analyze data flow within the codebase at the path /example/repo.

Frequently Asked Questions about trace-data-flows

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

FAQPage Schema
What is data flow tracing for security vulnerability detection?

It involves tracking data movement from entry points through validation and control flow to persistence and exit points, utilizing static analysis to detect potential security vulnerabilities and data integrity issues.

How do I trace sensitive data through my codebase to find validation gaps?

You trace sensitive data by performing static analysis on the codebase to track data from entry points through validation and control flow, ensuring proper authorization checks are mapped at trust boundaries.

Can I detect side-channel data flows in logging and error messages?

Yes, side-channel analysis reveals hidden data flows through logging, metrics, and error messages, utilizing static analysis to detect where sensitive data might be unintentionally exposed.

Do I need in-depth security knowledge to trace data flow vulnerabilities?

Yes, it requires an in-depth understanding of the codebase and security principles to accurately trace data flow, identify trust boundaries, and detect potential security vulnerabilities and data integrity issues.

What is the best way to map trust boundaries during codebase analysis?

Map trust boundaries by identifying trust level changes and explicit gates across data transformation points, ensuring proper validation and authorization checks are enforced at each boundary.

What are the limitations of static analysis for data flow tracing?

Static analysis limitations include potentially missing dynamic runtime behaviors, requiring in-depth understanding of the codebase and security principles to accurately detect data flow vulnerabilities and data integrity issues.