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Google Scholar Search

该 Skill 通过 Python 脚本调用 Semantic Scholar 免费 API，根据关键词检索学术论文，返回标题、作者、年份、期刊、引用数、摘要和开放获取链接等元数据；支持按年份与最低引用数过滤、查看论文详情，并可输出 JSON。需要网络访问外部 API，无需 API key。

zhoujc11
zhoujc11
热度 84.23
最近更新 2026-05-11 17:32:41
分类：搜索依赖：代码执行 / 第三方 API应用场景：研究

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add google-scholar-search
Metadata
name
google-scholar-search
description
Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. Use when searching academic literature, finding research papers on specific topics, finding citation counts and paper metadata, getting paper abstracts and author information, or looking for papers from specific years or with minimum citations.

Google Scholar Search

Search academic papers using the free Semantic Scholar API. No API key required.

Quick Start

Basic search:

python3 {baseDir}/scripts/search_papers.py "machine learning transformers"

Search with filters:

python3 {baseDir}/scripts/search_papers.py "deep learning" --limit 5 --year 2020-2023 --min-citations 10

Search Options

  • --limit N: Number of results (default: 10, max: 100)
  • --year YYYY-YYYY: Filter by year range (e.g., "2020-2023" or "2023")
  • --min-citations N: Minimum citation count
  • --json: Output in JSON format for machine processing

Get Paper Details

Retrieve detailed information about a specific paper:

python3 {baseDir}/scripts/search_papers.py --details <paper-id>

Returned Data

Each paper includes:

  • title: Paper title
  • authors: List of authors with names
  • year: Publication year
  • venue: Journal or conference name
  • citationCount: Number of citations
  • abstract: Paper abstract
  • url: Link to Semantic Scholar page
  • openAccessPdf: Direct PDF link if available
  • paperId: Unique Semantic Scholar ID (for details lookup)

Examples

Search for recent AI papers:

python3 {baseDir}/scripts/search_papers.py "large language models" --year 2022-2024 --limit 10

Find highly cited papers on a topic:

python3 {baseDir}/scripts/search_papers.py "quantum computing" --min-citations 50 --limit 10

Get JSON output for integration:

python3 {baseDir}/scripts/search_papers.py "neural networks" --json --limit 20

Tips

  • Use specific keywords for better results
  • Filter by year to get recent research
  • Use --min-citations to find influential papers
  • The API is free and requires no authentication
  • For complex queries, try multiple related terms