arxiv-search ยท diff
git:20251219.172092f to git:20260124.c0a5a2f
18 added, 51 removed. Audit A to A.
---
name: arxiv-search
description: Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.
+ compatibility: Requires arxiv installed in the Python environment and access to the internet
---
# arXiv Search Skill
This skill provides access to arXiv, a free distribution service and open-access archive for scholarly articles in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, systems science, and economics.
## When to Use This Skill
Use this skill when you need to:
- Find preprints and recent research papers before journal publication
- Search for papers in computational biology, bioinformatics, or systems biology
- Access mathematical or statistical methods papers relevant to biology
- Find machine learning papers applied to biological problems
- Get the latest research that may not yet be in PubMed
## Skill Scripts
### arxiv_search
The `arxiv_search` script accepts the following arguments:
- - First argument (required): Search query string (e.g., "neural networks protein structure", "single cell RNA-seq")
- - `--max-papers` (optional): Maximum number of papers to retrieve (default: 10)
-
- ### Usage Pattern
+ - `query` (required): Search query string (e.g., "neural networks protein structure", "single cell RNA-seq")
+ - `max-papers` (optional): Maximum number of papers to retrieve (default: 10)
- Use the `run_skill_script` tool to execute the `arxiv_search` script. For example:
+ ### Usage Examples
- ```python
- run_skill_script(
- skill_name="arxiv-search",
- script_name="arxiv_search",
- args=["your search query", "--max-papers", "5"]
- )
- ```
+ **Search for computational biology papers (default 10 results):**
- Search for computational biology papers (default 10 results):
+ - query: "protein folding prediction"
- ```python
- run_skill_script(
- skill_name="arxiv-search",
- script_name="arxiv_search",
- args=["protein folding prediction"]
- )
- ```
+ **Search for machine learning papers with limited results:**
- ## Output Format
+ - query: "transformer attention mechanism"
+ - max-papers: 3
- The script returns formatted results with:
+ **General search with custom limit:**
- - **Title**: Paper title
- - **Summary**: Abstract/summary text
- - **URL**: Direct link to the paper on arXiv
+ - query: "your search query"
+ - max-papers: 5
- Each paper is separated by blank lines for readability.
+ ## Output Format
- ## Features
+ The script returns formatted results with:
- - **Relevance sorting**: Results ordered by relevance to query
- - **Fast retrieval**: Direct API access with no authentication required
- - **Simple interface**: Clean, easy-to-parse output
- - **No API key required**: Free access to arXiv database
+ - Paper title
+ - Summary/abstract
+ - arXiv URL
## Dependencies
- This skill requires the `arxiv` Python package. If not installed, you'll see an error message.
-
- To install the package:
-
- ```bash
- pip install arxiv
- ```
-
- The package is not included by default since it's skill-specific. Install it when you first use this skill.
-
- ## Notes
-
- - arXiv is particularly strong for:
- - Computer science (cs.LG, cs.AI, cs.CV)
- - Quantitative biology (q-bio)
- - Statistics (stat.ML)
- - Physics and mathematics
- - Papers are preprints and may not be peer-reviewed
- - Results include both recent uploads and older papers
- - Best for computational/theoretical work in biology
+ This script requires the `arxiv` package, which should be installed in your environment.