AutoRE-CLI 是做什么的？
面向二进制文件的仅静态逆向工程 CLI 与 Agent 技能，支持有限定范围的、基于证据的分析。
面向二进制文件的静态逆向工程CLI与Agent技能，支持有限定范围的、基于证据的分析。
AutoRE-CLI 是一个专注于二进制文件静态逆向工程的命令行工具和 AI Agent 技能。它的核心价值在于为逆向分析提供一种“有边界”且“基于证据”的方法——分析过程不依赖于动态执行，而是完全基于二进制文件的静态结构；同时，分析结论必须由可追溯的证据（如地址、字节序列、字符串引用）来支撑，而非猜测。该工具适用于对 ELF、PE 等常见二进制格式进行安全分析、恶意软件取证、函数识别和协议逆向等场景。作为 AI Agent 技能，它能够被集成到自动化工作流中，根据分析任务自动调用内置的 CLI 命令并解析输出，从而将大型逆向工程任务分解为可验证的步骤。通过强制要求输出中的每条结论都附带明确引用和上下文，AutoRE-CLI 显著提升了逆向分析报告的可信度和可审计性，特别适合需要严格合规审查或团队协作的逆向工程环境。
npx skills add timwhitez/AutoRE-CLIInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
面向二进制文件的仅静态逆向工程 CLI 与 Agent 技能，支持有限定范围的、基于证据的分析。
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.