paper-reading-zh — Codex Skill by MrGeDiao

About paper-reading-zh

paper-reading-zh 给 AI 加一套论文阅读的证据规则：未核验的不补，读不到的不编，比较前先对口径。 An evidence-rule pack for AI-assisted paper reading. Docs and outputs are in Chinese by design. 是一个中文论文精读规则包，面向 Codex、Claude Code、Claude Project 和 ChatGPT Project。它不是论文翻译器，也不是文献管理器；它的目标是让 AI 读论文时少一点顺滑猜测，多一点可复查的证据标注。 证据边界：venue、年份、CCF、代码链接未核验就写“未核验”；实验数字必须锚定原文 Table / Figure 或具体段落。 防顺滑编造：公式抽取乱码不硬补，图表读不到不描述，只能读到摘要时明确写“仅基于摘要”。 跨论文口径审计：比较多篇论文前先检查数据集、指标定义、模型规模、训练预算和测试 setting。 双入口复用：同一套规则同时提供 Agent Skill（CLI / Agent 环境）和 Web Prompt Kit（网页端项目）。 和直接把论文丢给 AI 的区别 经常用 AI 读论文的人大多见过这些行为：查不到 venue 就补一个像样的，只读到摘要却写出全文精读，两篇论文口径不同也直接判胜负。这套规则把它们逐条挡住： 左列是常见失败模式的示意，不是对某个具体产品的实测记录；右列是规则的硬性要求。 输出长什么样 默认输出是约 2000 到 3500 中文字的中等深读，骨架固定：关键词（不超过 5 个）、一段话总结（不超过 150 字）、论文基本信息（标题 / venue/年份 / 链接 / 任务领域 4 项）、核心问题与贡献、方法深度解析、实验与结果、批判性讨论。 证据标注落在输出里是这样的（依

Quick Facts

Compatible Skills

These tools work well together with paper-reading-zh for enhanced workflows:

• paper-craft-skills — semantic(0.38)+complementary+rare_topics+similar_pop+shared_platform (58%)
• phd-skills — semantic(0.27)+complementary+similar_pop+shared_platform (49%)
• codex-collab — semantic(0.26)+complementary+similar_pop+shared_platform (49%)
• PaperOrchestra — semantic(0.22)+complementary+similar_pop+shared_platform (48%)
• scholar-search-mcp — semantic(0.21)+complementary+similar_pop+shared_platform (47%)

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