← 返回 Skills 市场
611
总下载
2
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install google-scholar-search
功能描述
Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. U...
使用说明 (SKILL.md)
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 \x3Cpaper-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-citationsto find influential papers - The API is free and requires no authentication
- For complex queries, try multiple related terms
安全使用建议
This skill appears coherent and low-risk: it queries the official Semantic Scholar API, needs no API keys, and only returns metadata and PDF links. Before running, quickly review the included Python script yourself (or run it in an isolated environment) to confirm inbound/outbound network policies are acceptable. Note that openAccessPdf values are links to external hosts—treat downloaded PDFs like any external file (scan before opening). Also be aware the package has no listed homepage/maintainer; if you require stronger provenance, ask the publisher for origin or prefer a signed/official distribution.
功能分析
Type: OpenClaw Skill
Name: google-scholar-search
Version: 1.0.0
The skill bundle is a legitimate tool for searching academic papers using the Semantic Scholar API. The core logic in `scripts/search_papers.py` uses standard libraries to perform HTTP requests and handle JSON data without any signs of malicious execution, data exfiltration, or prompt injection.
能力评估
Purpose & Capability
The name/description say 'Semantic Scholar' search and the included Python script calls api.semanticscholar.org with fields consistent with that API. No unrelated services, binaries, or credentials are requested.
Instruction Scope
SKILL.md simply instructs running the provided script with query and filter flags. The script only constructs HTTP requests to the Semantic Scholar API and formats results; it does not read unrelated files, access system credentials, or exfiltrate data to unknown endpoints.
Install Mechanism
There is no install spec; this is instruction+source-only. All code is present in the bundle and there are no downloads, package installs, or extraction from external URLs.
Credentials
The skill requires no environment variables or credentials. It only performs outbound HTTPS requests to api.semanticscholar.org and returns metadata and PDF links; it does not attempt to use or store secrets.
Persistence & Privilege
always is false and the skill does not modify other skills or system configuration. It has no special persistence or elevated privileges.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install google-scholar-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/google-scholar-search触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
- Initial release of google-scholar-search skill.
- Search academic papers using the free Semantic Scholar API—no API key needed.
- Supports advanced filters: year range, minimum citation count, and result limit.
- Provides detailed paper metadata: title, authors, year, venue, citation count, abstract, URLs, and PDF links if available.
- Offers JSON output for easy integration with other tools.
- Includes command-line tools for searching papers and retrieving detailed information using paper IDs.
元数据
常见问题
Google Scholar Search 是什么？
Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. U... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 611 次。
如何安装 Google Scholar Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install google-scholar-search」即可一键安装，无需额外配置。
Google Scholar Search 是免费的吗？
是的，Google Scholar Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Google Scholar Search 支持哪些平台？
Google Scholar Search 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Google Scholar Search？
由 zzwd（@zhoujc11）开发并维护，当前版本 v1.0.0。
推荐 Skills