No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Agents365-ai · Claude Skill · ★ 65
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is semanticscholar-skill safe to install? View the security audit →
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 range, venue, fields of study, min citations, pub types, open access Export to BibTeX, Markdown, or JSON Rate limiting + retries built in — 1.1s gap between requests, exponential backoff on 429/504 Single-script execution pattern — avoids sequential API ping-pong; all calls batched into one Python script Triggers automatically whenever the user mentions papers, citations, academic search, literature discovery Multi-Platform Support Works with all major AI coding agents that support the Agent Skills format: Native SKILL.md form
| Stars | 65 |
| Forks | 2 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.8036377755728/100 |
| Last Updated | 2026-07-16 |
| Created | 2026-03-09 |
| Platforms | claude-code, python |
| Est. Tokens | ~15k |
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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 65 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 65 stars and 2 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.
The top alternatives to semanticscholar-skill on Agent Skills Hub include skills, claudepro-directory, cc-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: