# Academic Literature Search

# Academic Literature Search, 学术文献检索与引用管理

- Repository: https://github.com/beita6969/ScienceClaw (1024 stars)
- Category: Engineering
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add beita6969/ScienceClaw --skill academic-literature-search -g -a claude-code -y`
Codex: `npx skills add beita6969/ScienceClaw --skill academic-literature-search -g -a codex -y`
Cursor: `npx skills add beita6969/ScienceClaw --skill academic-literature-search -g -a cursor -y`
Gemini CLI: `npx skills add beita6969/ScienceClaw --skill academic-literature-search -g -a gemini-cli -y`

## Description

# Academic Literature Search, 学术文献检索与引用管理

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Academic Literature Search, 学术文献检索与引用管理

Use this skill when the user asks to search for academic papers, retrieve literature, generate citations, format references, or any task involving PubMed, bioRxiv, arXiv, or academic reference management. Trigger keywords: "搜文献", "检索", "找论文", "参考文献", "引用", "citation", "search papers", "PubMed", "bioRxiv", "arXiv", "GB/T 7714", "PMID", "DOI", "批量引用".

## Core Principles

1. **MCP first, Python second**: PubMed operations → MCP tools (zero code). Python only for arXiv, GB/T 7714 formatting, and citation post-processing.
2. **Code-driven citations**: Citation formatting, validation, deduplication, renumbering, ALL via Python code. NEVER fabricate PMIDs, DOIs, author names, or journal names.
3. **GB/T 7714-2015 sequential numbering**: `[1][2][3]` in-text, references numbered by order of first appearance.
4. **Journal name consistency**: Use **full journal names** throughout (NOT ISO abbreviations). E.g., `Nature Medicine` not `Nat Med`. If MCP returns abbreviated names, expand them; if expansion is uncertain, use the name as returned.

---

## Tool Routing Decision Table

| 操作 | 用什么 | 为什么 |
|------|--------|--------|
| PubMed 关键词搜索 | **MCP** `pubmed_search_articles` | 原生日期/类型过滤/排序，Agent 零代码 |
| PMID 批量获取详情 | **MCP** `pubmed_fetch_contents` | 4种详情级别，一次200个，含 MeSH |
| 相似论文发现 | **MCP** `pubmed_article_connections` (similar) | 直接调用，返回结构化数据 |
| 被引论文发现 | **MCP** `pubmed_article_connections` (citedin) | 同上 |
| 论文参考文献（它引了谁） | **MCP** `pubmed_article_connections` (references) | **MCP 独有**，ELink 不支持 |
| RIS/BibTeX 导出 | **MCP** `pubmed_article_connections` (citation_formats) | 内置格式化 |
| bioRxiv/medRxiv 搜索 | **MCP** `pubmed_search_articles` + journal filter | queryTerm 加 `biorxiv[journal]` |
| arXiv 搜索 | **Python** | MCP 不覆盖 arXiv |
| GB/T 7714-2015 格式化 | **Python** | MCP 无国标格式 |
| 引用后处理/去重/编号 | **Python** | MCP 不覆盖 |

---

## MCP Operations (PubMed, 主力)

### 1. 关键词搜索

The rest: https://github.com/beita6969/ScienceClaw/blob/HEAD/skills/academic-literature-search/SKILL.md