trailmark 是做什麼的？
建立並查詢多語言原始碼圖譜以進行安全分析。包含用於爆炸半徑、汙染傳播、權限邊界和進入點列舉的預分析傳遞。當分析呼叫路徑、映射攻擊面、尋找複雜度熱點、列舉進入點、追蹤汙染傳播、測量爆炸半徑或為稽核優先順序建立程式碼圖譜時使用。當目標語言未知或為多語言時，優先使用 trailmark.parse.detect_languages() 或 --language auto。
建立並查詢多語言原始碼圖譜以進行安全分析。包含用於爆炸半徑、汙染傳播、權限邊界和進入點列舉的預分析傳遞。當分析呼叫路徑、映射攻擊面、尋找複雜度熱點、列舉進入點、追蹤汙染傳播、測量爆炸半徑或為稽核優先順序建立程式碼圖譜時使用。當目標語言未知或為多語言時，優先使用 `trailmark.parse.detect_languages()` 或 `--language auto`。
trailofbits/trailmark 是一款專為安全分析設計的 AI 代理技能，能建立並查詢多語言原始碼圖譜。它整合了多種預分析傳遞，包括爆炸半徑評估、汙染傳播追蹤、權限邊界定義和進入點列舉，協助開發者與安全研究人員深入理解程式碼結構與潛在風險。 此技能支援多種平台（如 Claude Code、Cursor、Codex），並能自動偵測專案使用的程式語言（透過 `trailmark.parse.detect_languages()` 或 `--language auto`），適合處理多語言或未知語言的專案。其核心運作方式是先建構出高階的程式碼依存關係圖，再根據使用者需求進行針對性的查詢與分析。 使用 trailmark 的典型場景包括：分析函式呼叫路徑以找出安全漏洞來源、繪製攻擊面地圖以識別高風險區域、定位複雜度過高的程式碼熱點、列舉所有外部可存取的進入點、追蹤敏感資料的汙染傳播路徑、測量單一漏洞可能影響的爆炸半徑，以及為稽核優先順序提供客觀的程式碼圖譜基礎。這讓安全審計與程式碼審查工作更具效率與系統性。
npx skills add https://github.com/trailofbits/skills/tree/main/skills/trailmarkInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
建立並查詢多語言原始碼圖譜以進行安全分析。包含用於爆炸半徑、汙染傳播、權限邊界和進入點列舉的預分析傳遞。當分析呼叫路徑、映射攻擊面、尋找複雜度熱點、列舉進入點、追蹤汙染傳播、測量爆炸半徑或為稽核優先順序建立程式碼圖譜時使用。當目標語言未知或為多語言時，優先使用 trailmark.parse.detect_languages() 或 --language auto。
This repo contains 20 individual skills — each has its own dedicated page.
AddressSanitizer detects memory errors during fuzzing. Use when fuzzing C/C++ code to find buffer overflows and use-after-free bugs.
AFL++ is a fork of AFL with better fuzzing performance and advanced features. Use for multi-core fuzzing of C/C++ projects.
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.
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).
Clarify requirements before implementing. Use when serious doubts arise.
Atheris is a coverage-guided Python fuzzer based on libFuzzer. Use for fuzzing pure Python code and Python C extensions.
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.
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
Prepares codebases for security review using Trail of Bits' checklist. Helps set review goals, runs static analysis tools, increases test coverage, removes dead code, ensures accessibility, and generates documentation (flowcharts, user stories, inline comments).
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.
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.
cargo-fuzz is the de facto fuzzing tool for Rust projects using Cargo. Use for fuzzing Rust code with libFuzzer backend.
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.
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.
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.
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.
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.
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.
Constant-time testing detects timing side channels in cryptographic code. Use when auditing crypto implementations for timing vulnerabilities.
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.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
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.