audit-augmentation

Map SARIF and weAudit findings onto Trailmark code graphs.

Updated Nov 23, 2025
One-click install
npx skills add https://github.com/manuelbrandner85/Weltenbibliothekapp --skill audit-augmentation-manuelbrandner85
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: audit-augmentation
Source: https://github.com/manuelbrandner85/Weltenbibliothekapp/tree/main/.agents/skills/audit-augmentation
Command: npx skills add https://github.com/manuelbrandner85/Weltenbibliothekapp --skill audit-augmentation-manuelbrandner85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires trailmark, and includes references (resource) components.

What problem does it solve?

This Skill bridges the gap between static analysis findings and actual code structure, allowing developers to visualize security vulnerabilities within the context of their application's architecture.

Core Features & Use Cases

  • SARIF Integration: Automatically map Semgrep, CodeQL, and other SARIF-compliant tool results onto your code graph.
  • Human-in-the-loop: Import weAudit annotations to track manual security reviews alongside automated findings.
  • Contextual Analysis: Cross-reference findings with blast radius and taint data to prioritize critical vulnerabilities.

Quick Start

Use the audit-augmentation skill to project the results.sarif file onto the current directory code graph.

Frequently Asked Questions about audit-augmentation

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

FAQPage Schema
How do I map SARIF static analysis findings onto a code graph?

You can map SARIF static analysis findings onto a code graph by importing results from Semgrep or CodeQL. The Skill projects these findings onto Trailmark code graph nodes using file and line overlap matching.

Can I import weAudit annotations to track manual security reviews alongside automated findings?

Yes, you can import weAudit annotations to track manual security reviews. The Skill augments code graphs with weAudit files, enabling human-in-the-loop tracking alongside automated static analysis findings.

How does mapping security vulnerabilities to a code graph help prioritize remediation?

Mapping security vulnerabilities to a code graph helps prioritize remediation by cross-referencing findings with pre-analysis data. The Skill creates severity-based subgraphs to visualize vulnerabilities within application architecture context.

Do I need the trailmark library to augment code graphs with audit findings?

Yes, the trailmark library is required to perform graph augmentation and query operations. The Skill depends on trailmark to map external audit findings onto code graph nodes by file and line overlap.

Does audit-augmentation work with Semgrep and CodeQL SARIF output files?

Yes, it works with Semgrep and CodeQL SARIF output files. The Skill automatically maps SARIF-compliant static analysis tool results onto your code graph by matching file and line overlaps.

What is the best way to visualize static analysis results within application architecture?

The best way to visualize static analysis results within application architecture is augmenting a code graph with SARIF findings. This bridges security vulnerabilities and code structure, creating severity-based subgraphs for contextual analysis.