Nature Academic Search
Description
Academic Paper Search:面向中文科研用户的 Codex / Claude Code 文献检索 Skill + MCP;跨 CrossRef、PubMed、arXiv、OpenAlex、Europe PMC 检索去重,支持 Semantic Scholar 富化、ClinicalTrials.gov 试验与引用导出。
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Academic Paper Search
**让 Codex / Claude Code 完成可复现的文献检索、核验与引用导出,并构建多源引文图谱。**
从一篇种子论文开始,检索 CrossRef、PubMed、arXiv、OpenAlex 和 Europe PMC,按强标识符去重, 逐字段核验引用,再沿参考文献和被引用关系扩展研究范围。
安装标识仍为 `nature-academic-search`,现有命令和配置无需迁移。
中文优先 · Codex + Claude Code 双兼容 · 五个默认论文源 · 可审计输出 · 有界引文图谱
[](https://github.com/wp-a/nature-academic-search/actions/workflows/ci.yml) [](https://pypi.org/project/nature-academic-search/) [](https://pypi.org/project/nature-academic-search/) [](LICENSE) [](https://github.com/wp-a/nature-academic-search/stargazers)
**推荐配套服务 · [WPIRONMAN AI 中转](https://api.wpironman.top)**
为 Codex、Claude Code 和本项目 workflow 提供可选的 OpenAI-compatible 模型入口。 **[进入控制台](https://api.wpironman.top)** · 中转不是论文来源、数据库或引用事实的替代品。
[30 秒开始](#30-秒开始) · [六个中文场景](#六个可复制的中文场景) · [能力矩阵](#能力矩阵) · [数据源](#数据源如何分工) · [边界](#能力边界)
先看它解决什么
| 你的问题 | 这个 skill 的回答 |
|---|---|
| “这篇论文到底存在吗?” | 用 DOI、PMID、PMCID、arXiv、OpenAlex 或 Semantic Scholar ID 解析原始元数据,再做字段级核验。 |
| “不同数据库的结果怎么合并?” | 优先按强标识符去重,保留 sources、source_records 和 conflicts,不静默覆盖冲突。 |
| “从一篇种子论文还能找到什么?” | 用 get_paper_by_id(include_relations=true) 获取有界的 references / cited_by 图谱。 |
| “AI 给的引用靠谱吗?” | 输出 verified、mismatch、not_found 或 manual_needed,不把题名相似当作事实。 |
核心流程是:**检索 → 去重 → 核验 → 导出**。需要引用关系时,在核验后增加 **引文图谱 → 人工判断**,而不是把引用次数当成证据质量。
30 秒开始
Codex 插件
codex plugin marketplace add wp-a/nature-academic-search
codex plugin add nature-academic-search@wp-a-academic-tools
Claude Code 插件
claude plugin marketplace add wp-a/nature-academic-search
claude
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src/agents/ — 11 Agent Definitions
**Generated:** 2026-04-11