internet-research-review 是做什么的？
无需付费API即可进行高质量公共互联网调研审查的Codex技能。
无需付费API即可进行高质量公共互联网调研审查的Codex技能。
该技能专为Codex平台设计，旨在利用免费的公共互联网资源进行高效、高质量的研究审查。用户无需依赖付费API或外部服务，即可直接从网络获取信息、验证事实并生成结构化调研报告。技能通过智能化的搜索策略和信息筛选机制，确保返回的结果准确、相关且易于理解。支持多步骤的迭代研究流程，能够自动总结关键点并标记引用来源，适合需要快速获取权威信息的开发者和研究人员使用。
npx skills add in-asanz/internet-research-reviewInstalled? 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 →
无需付费API即可进行高质量公共互联网调研审查的Codex技能。
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.