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Install in OpenClaw
/install 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. U...
README (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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install google-scholar-search - After installation, invoke the skill by name or use
/google-scholar-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Google Scholar Search?
Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. U... It is an AI Agent Skill for Claude Code / OpenClaw, with 611 downloads so far.
How do I install Google Scholar Search?
Run "/install google-scholar-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Google Scholar Search free?
Yes, Google Scholar Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Google Scholar Search support?
Google Scholar Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Google Scholar Search?
It is built and maintained by zzwd (@zhoujc11); the current version is v1.0.0.
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