Community연구 & 데이터 분석github.com

trailofbits/audit-prep-assistant

Trail of Bits의 체크리스트를 사용하여 코드베이스를 보안 검토에 대비합니다. 리뷰 목표 설정, 정적 분석 도구 실행, 테스트 커버리지 향상, 데드 코드 제거, 접근성 보장, 문서(순서도, 사용자 스토리, 인라인 주석) 생성을 지원합니다.

audit-prep-assistant란 무엇인가요?

이 스킬은 Trail of Bits의 보안 검토 체크리스트를 기반으로 코드베이스를 사전 점검하고 개선하는 데 특화된 AI 어시스턴트입니다. 개발자와 보안 엔지니어가 보안 리뷰를 준비할 때 리뷰 목표를 설정하고, 정적 분석 도구를 실행하여 잠재적 취약점을 발견하며, 테스트 커버리지를 높이고 데드 코드를 제거합니다. 또한 접근성을 보장하고 문서화(순서도, 사용자 스토리, 인라인 주석)를 자동 생성하여 리뷰 효율성을 극대화합니다. 주로 CLI 환경에서 Claude Code, Cursor, Codex와 같은 AI 에이전트와 함께 사용되며, 개발자의 보안 리뷰 준비 부담을 줄이고 체계적인 준비 과정을 제공합니다.

지원 대상~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/trailofbits/skills/tree/main/skills/audit-prep-assistant

Installed? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →

원본 보기→모든 스킬 둘러보기

즐겨 사용하는 AI에게 물어보기

이 에이전트 스킬이 미리 로드된 새 채팅을 엽니다.

OpenAIChatGPTClaudeClaudeGeminiGeminiGrokGrokPerplexityPerplexityDeepSeekDeepSeek

문서

audit-prep-assistant은(는) 무엇을 하나요?

Trail of Bits의 체크리스트를 사용하여 코드베이스를 보안 검토에 대비합니다. 리뷰 목표 설정, 정적 분석 도구 실행, 테스트 커버리지 향상, 데드 코드 제거, 접근성 보장, 문서(순서도, 사용자 스토리, 인라인 주석) 생성을 지원합니다.

기능

  • 보안 리뷰 목표 설정: 리뷰의 범위와 목표를 명확히 정의합니다.
  • 정적 분석 도구 실행: 코드에서 잠재적 취약점을 탐지합니다.
  • 테스트 커버리지 향상: 테스트가 부족한 영역을 식별하고 보완합니다.
  • 데드 코드 제거: 사용되지 않는 코드를 정리하여 리뷰 대상을 최적화합니다.
  • 접근성 보장: 접근성 표준을 준수하도록 코드를 점검합니다.
  • 문서 생성: 순서도, 사용자 스토리, 인라인 주석을 자동으로 생성합니다.

사용 방법

  1. 이 스킬을 AI 에이전트(Claude Code, Cursor, Codex 등)에 로드합니다.
  2. 준비할 코드베이스 디렉토리에서 명령을 실행합니다.
  3. AI 에이전트가 각 단계를 안내하고 필요한 작업을 수행합니다.

예시

# 리뷰 목표 설정
audit-prep-assistant set-goals --scope "인증 모듈" --depth "상세 분석"

# 정적 분석 실행
audit-prep-assistant run-static-analysis --tool "bandit"

# 문서 생성
audit-prep-assistant generate-docs --flowcharts --user-stories

지원 환경

  • Claude Code
  • Cursor
  • Codex
  • 기타 AI 에이전트 (CLI 기반)

참고

이 스킬은 Trail of Bits의 보안 검토 방법론을 기반으로 하며, 팀의 특정 요구에 맞게 확장 가능합니다.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

trailofbits/address-sanitizer

AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs.

trailofbits/aflpp

AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.

trailofbits/agentic-actions-auditor

Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines, including env var intermediary patterns, direct expression injection, dangerous sandbox configurations, and wildcard user allowlists. Use when reviewing workflow files that invoke AI coding agents, auditing CI/CD pipeline security for prompt injection risks, or evaluating agentic action configurations.

trailofbits/algorand-vulnerability-scanner

Scans Algorand smart contracts for 11 common vulnerabilities including rekeying attacks, unchecked transaction fees, missing field validations, and access control issues. Use when auditing Algorand projects (TEAL/PyTeal).

trailofbits/ask-questions-if-underspecified

Clarify requirements before implementing. Use when serious doubts arise.

trailofbits/atheris

Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.

trailofbits/audit-augmentation

Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-referencing Semgrep or CodeQL findings with call graph data, or visualizing audit findings in the context of code structure.

trailofbits/audit-context-building

Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.

trailofbits/burpsuite-project-parser

Searches and explores Burp Suite project files (.burp) from the command line. Use when searching response headers or bodies with regex patterns, extracting security audit findings, dumping proxy history or site map data, or analyzing HTTP traffic captured in a Burp project.

trailofbits/cairo-vulnerability-scanner

Scans Cairo/StarkNet smart contracts for 6 critical vulnerabilities including felt252 arithmetic overflow, L1-L2 messaging issues, address conversion problems, and signature replay. Use when auditing StarkNet projects.

trailofbits/cargo-fuzz

cargo-fuzz is the de facto fuzzing tool for Rust projects using Cargo. Use for fuzzing Rust code with libFuzzer backend.

trailofbits/chrome-mcp-troubleshooting

Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.

trailofbits/claude-in-chrome-troubleshooting

Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.

trailofbits/code-improver

Runs an autonomous review-and-fix improvement loop over any code target — a skill, plugin, module, or directory — using a reviewer the user names: any installed skill or agent. Keeps a cross-round findings ledger, escalates when fixes stop converging, and guards scope mechanically. Use when asked to 'improve this code until review passes', 'run an improvement loop with <reviewer>', or to iterate review-and-fix with a specific reviewer. For skills prefer the skill-improver entry; for a branch prefer pr-improver.

trailofbits/code-maturity-assessor

Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations.

trailofbits/codeql

Scans a codebase for security vulnerabilities using CodeQL's interprocedural data flow and taint tracking analysis. Triggers on "run codeql", "codeql scan", "codeql analysis", "build codeql database", or "find vulnerabilities with codeql". Supports "run all" (security-and-quality + security-experimental suites) and "important only" (high-precision security findings) scan modes. Also handles creating data extension models and processing CodeQL SARIF output.

trailofbits/constant-time-analysis

Detects timing side-channel vulnerabilities in cryptographic code. Use when implementing or reviewing crypto code, encountering division on secrets, secret-dependent branches, or constant-time programming questions in C, C++, Go, Rust, Swift, Java, Kotlin, C#, PHP, JavaScript, TypeScript, Python, or Ruby.

trailofbits/constant-time-testing

Constant-time testing detects timing side channels in cryptographic code. Use when auditing crypto implementations for timing vulnerabilities.

trailofbits/cosmos-vulnerability-scanner

Scans Cosmos SDK blockchain modules and CosmWasm contracts for consensus-critical vulnerabilities — chain halts, fund loss, state divergence. 25 core + 16 IBC + 10 EVM + 3 CosmWasm patterns. Use when auditing custom x/ modules, reviewing IBC integrations, or assessing pre-launch chain security. Updated for SDK v0.53.x.

trailofbits/coverage-analysis

Coverage analysis measures code exercised during fuzzing. Use when assessing harness effectiveness or identifying fuzzing blockers.

관련 스킬

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

community

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

community

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

community

affaan-m/everything-claude-code

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

community

forrestchang/andrej-karpathy-skills

Agent skill repository discovered by 10x-chat research.

community

langgenius/backend-code-review

Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.

community
← More 연구 & 데이터 분석 skills