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audit-prep-assistant

Prepare codebases for security review using Trail of Bits' checklist. Automates static analysis, test coverage, dead code cleanup, documentation generation, and audit goal setting.

Introduction

The Audit Prep Assistant is a specialized tool designed for development teams preparing for a professional security audit. It streamlines the transition from active development to a formal security review by ensuring the codebase meets the high standards required for effective assessment. By systematically addressing common preparation gaps, this assistant helps reduce review time, prevents trivial findings, and allows auditors to focus on high-impact architectural vulnerabilities. It is intended for use 1-2 weeks before an audit, providing a structured approach to hardening a codebase.

  • Define clear review goals, identifying specific security objectives, complex components, and worst-case scenarios for your project.

  • Execute language-specific static analysis tools, including Slither for Solidity, dylint for Rust, and golangci-lint for Go, while managing findings and documenting risks.

  • Analyze and optimize test coverage by identifying untested code paths and suggesting additions to the test suite.

  • Perform dead code analysis to identify and remove unused functions, variables, and stale features that complicate manual review.

  • Ensure code accessibility by generating detailed build instructions, managing dependency locking, and clarifying project scope.

  • Automate the creation of technical documentation, including flowcharts, sequence diagrams, user stories, and comprehensive glossaries to assist auditors in understanding system logic.

  • The assistant operates in four distinct phases: setting goals, resolving easy issues, ensuring accessibility, and generating documentation.

  • Users should expect to provide access to their repository; the assistant will output a structured Audit Prep Package containing status reports and required documentation.

  • It is critical to follow the provided steps sequentially, as each phase builds upon the findings and context established in the previous ones.

  • Typical inputs include the source codebase and relevant project documentation; outputs are actionable prep checklists and technical artifacts for the auditing team.

  • While the tool aids in surface-level hardening, it does not replace a manual deep-dive security audit by experts.

Repository Stats

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Language
Python
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Last Synced
Apr 29, 2026, 01:34 AM
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