Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
PubMed Search
AI-powered tool for searching and analyzing PubMed biomedical literature
skill openclawclawhub Free
AI-powered tool for searching and analyzing PubMed biomedical literature
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- README.md, SKILL.md, pubmed_search.py, requirements.txt
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.0
Provenance
- Publisher
- JackKuo666
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Article Search
Search PubMed articles using keywords Advanced search with multiple filters (title, author, journal, date range) Fast access to comprehensive paper metadata
Metadata Retrieval
Fetch detailed metadata for specific papers using PMID Extract title, authors, abstract, journal, publication date Support for batch retrieval
Paper Analysis
Deep analysis of PubMed articles Research background and significance Methodology overview and key findings Limitations and future research directions
Full-Text Access
Attempt to download full-text PDF content Check open access availability via PubMed Central (PMC) Provide direct links to articles
Prerequisites
Python 3.8+ pip package manager
Setup Steps
Install Python dependencies (choose one method): Method 1: Using uv (Recommended - Fastest) # Install uv curl -LsSf https://astral.sh/uv/install.sh | sh # Create virtual environment and install dependencies cd /path/to/pubmed-search-skill uv venv source .venv/bin/activate # Linux/macOS # or .venv\Scripts\activate # Windows uv pip install -r requirements.txt Method 2: Using conda (Best for scientific/research users) cd /path/to/pubmed-search-skill conda create -n pubmed-search python=3.11 -y conda activate pubmed-search pip install -r requirements.txt Method 3: Using pip directly (Built-in, no extra installation) cd /path/to/pubmed-search-skill pip install -r requirements.txt Configure API credentials (optional for basic search, required for PDF download): # Copy example configuration cp .env.example .env # Edit .env and configure optional settings # Most features work without API keys - uses free PubMed E-utilities API
Verify Installation
python pubmed_search.py --help
How to Use
When users request literature search or analysis: Understand requirements: Ask what research topic or papers to search for Choose method: Simple keyword search for quick results Advanced search with specific filters Deep analysis for comprehensive understanding Execute search: python pubmed_search.py search --keywords "CRISPR gene editing" --results 10 Present results: Display article metadata and ask if further analysis needed
Basic Keyword Search
# Search for articles by keywords python pubmed_search.py search --keywords "COVID-19 vaccine efficacy" --results 10
Advanced Search
# Search with multiple filters python pubmed_search.py search --term "cancer" --author "Smith" --journal "Nature" --start-date "2020" --end-date "2023" --results 20
Get Article Metadata
# Fetch detailed metadata for a specific paper python pubmed_search.py metadata --pmid "12345678"
Deep Paper Analysis
# Perform comprehensive analysis of a paper python pubmed_search.py analyze --pmid "12345678" --output analysis.md
Download Full-Text PDF
# Attempt to download open access PDF python pubmed_search.py download --pmid "12345678" --output ./papers/
Batch Search
# Search and save results to file python pubmed_search.py search --keywords "Alzheimer disease" --results 50 --output results.json
Environment Variables (Optional)
The skill uses the free PubMed E-utilities API, which doesn't require authentication for basic usage. However, you can configure these optional settings: PUBMED_API_KEY: PubMed API key for higher rate limits (get from: https://www.ncbi.nlm.nih.gov/account/) PUBMED_EMAIL: Email for API requests (required when using API key) PUBMED_TOOL: Tool name for API identification (default: pubmed-search-skill)
Rate Limits
Without API key: 3 requests per second With API key: Up to 10 requests per second Get your free API key at: https://www.ncbi.nlm.nih.gov/account/
Best Practices
Use specific keywords for better results Apply filters (author, journal, date) to narrow down searches Review abstracts before requesting full analysis Check open access availability before downloading PDFs Cite original papers when using retrieved information
Console Output
Human-readable format with key article information
JSON Format
Machine-readable format for further processing: [ { "PMID": "12345678", "Title": "Article Title", "Authors": "Author1, Author2", "Journal": "Journal Name", "Publication Date": "2023", "Abstract": "Abstract text..." } ]
Markdown Format
Formatted output for documentation: # Article Title **Authors**: Author1, Author2 **Journal**: Journal Name (2023) **PMID**: 12345678 ## Abstract Abstract text...
Notes
This tool uses the free PubMed E-utilities API PDF downloads are only available for open access articles Always verify information from original sources Respect copyright when using downloaded articles Rate limits apply - consider getting an API key for heavy usage
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs1 Scripts1 Files
- SKILL.md
- README.md
- pubmed_search.py
- requirements.txt