by cookjohn · MCP Server · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wos-skills safe to install? View the security audit →
Web of Science Skills for Claude Code English | 中文 English Claude Code skills that let Claude interact with Web of Science (WoS) through Chrome DevTools MCP. Search papers, extract metadata, navigate results, export citations, download PDFs, and push to Zotero — all from the Claude Code CLI. Prerequisites Claude Code CLI installed Chrome browser (institutional login for WoS access) Zotero desktop app (optional, for citation export) Python 3 (optional, for Zotero push script) Skills |
git clone https://github.com/cookjohn/wos-skills.git
git clone https://github.com/cookjohn/wos-skills.git /tmp/wos-skillsTaken from the project's README on GitHub. Check the security audit before running it.
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 →
| Stars | 123 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 69.4187982559403/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-13 |
| Created | 2026-03-05 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~15k |
Explore other popular mcp server tools:
wos-skills is Web of Science skills for Claude Code — search, browse, export, download academic papers via Chrome DevTools MCP. It is categorized as a MCP Server with 123 GitHub stars.
wos-skills is primarily written in Python.
The README on GitHub (github.com/cookjohn/wos-skills) gives: git clone https://github.com/cookjohn/wos-skills.git , then git clone https://github.com/cookjohn/wos-skills.git /tmp/wos-skills. Usage details are in the same README.
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: