by Agents365-ai · Claude Skill · ★ 35
semanticscholar-skill — Semantic Scholar from the Command Line 📚 中文文档 Request API Key What it does Search the Semantic Scholar corpus by keyword, boolean expression, full-text snippet, title, or author Look up a paper from any supported ID (DOI, arXiv, PMID, PMCID, CorpusId, MAG, ACL, SHA, URL) Traverse citations forward and backward with pagination Recommend similar papers from one seed () or multi-seed positive/negative sets () Find authors by name, list their publications, pull h-index / affiliations Batch lookup up to 500 papers or 1000 authors in a single call Filter by year, date...
| Stars | 35 |
| Forks | 1 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 58.534/100 |
| Last Updated | 2026-05-19 |
| Created | 2026-03-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~71k |
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semanticscholar-skill is Semantic Scholar API wrapper for agents — search 200M+ papers, traverse citations, find authors. Python, rate-limited, multi-agent.. It is categorized as a Claude Skill with 35 GitHub stars.
semanticscholar-skill is primarily written in Python. It covers topics such as academic, agent-skill, agent-skills.
You can find installation instructions and usage details in the semanticscholar-skill GitHub repository at github.com/Agents365-ai/semanticscholar-skill. The project has 35 stars and 1 forks, indicating an active community.
semanticscholar-skill is released under the MIT license, making it free to use and modify according to the license terms.