code-audit

Audit code security vulnerabilities across 9 languages and 14 frameworks.

Updated Aug 28, 2021
One-click install
npx skills add https://github.com/XhstormR/dotfiles --skill code-audit-xhstormr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-audit
Source: https://github.com/XhstormR/dotfiles/tree/main/.claude/skills/code-audit
Command: npx skills add https://github.com/XhstormR/dotfiles --skill code-audit-xhstormr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Code auditing is often manual, slow, and error-prone. This Skill orchestrates automated, self-contained code-security audits with a dual-track model and multi-agent reasoning to reliably identify vulnerabilities across languages and frameworks.

Core Features & Use Cases

  • Dual-track auditing (Sink-driven + Control-driven) for comprehensive detection
  • 9 languages and 14 frameworks supported, plus WooYun-inspired case library
  • Anti-Hallucination rules and Read/Grep/Glob-backed verification for accuracy
  • CI/CD-ready reporting with attack paths, remediation guidance, and reproducible turns

Quick Start

To begin, run code-audit on a target repository to generate a structured vulnerability report with confirmed findings and remediation guidance.

Frequently Asked Questions about code-audit

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

FAQPage Schema
How do I automate code security audits across multiple languages and frameworks?▼

Static analysis for code security uses a dual-track approach combining sink-driven and control-driven detection. This multi-agent workflow cross-references 143 mandatory checks with real-world WooYun cases to comprehensively identify vulnerabilities across supported languages.

Does this code audit tool support CI/CD integration and reproducible reporting?▼

Code audit accuracy is enforced through anti-hallucination rules that require findings to be grounded in actual code via Read, Grep, and Glob tooling. This verification process ensures reproducible analysis turns and reliable vulnerability confirmation.

Can I use this to perform taint analysis on a large scale repository?▼

Yes, you can perform taint analysis at scale because the Skill orchestrates multi-agent reasoning to audit code security vulnerabilities. It supports deep, reproducible analysis across 9 languages and 14 frameworks for large target repositories.

What is the best way to identify security vulnerabilities without getting false positives?▼

The best way to identify vulnerabilities without false positives is using a dual-track model with anti-hallucination rules. This approach verifies findings against actual code using Read and Glob tooling, ensuring grounded and accurate detection.

Are there limitations when using multi-agent static analysis for code audits?▼

Limitations of multi-agent static analysis include dependency on supported environments, as the workflow is constrained to 9 languages, 14 frameworks, and 143 mandatory checks. Auditing code outside these supported specifications may not yield comprehensive results.