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 WenyuChiou · MCP Server · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is research-hub safe to install? View the security audit →
research-hub Turn your research stack into an AI-operable workspace. Use Zotero, Obsidian, and NotebookLM together, or start with any two. research-hub gives your AI assistant a real CLI, MCP server, REST API, and dashboard for repeatable literature workflows. Traditional Chinese: README.zh-TW.md | Watch the full-res mp4 📚 Part of the agentic AI learning roadmap — a 7-stage curated path for building agentic AI, multilingual (zh-TW · z
| Stars | 53 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.8050080628616/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-31 |
| Created | 2026-04-06 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~20k |
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research-hub is AI-operable research workspace for Zotero, Obsidian, and NotebookLM. Use any two, or all three, through CLI, MCP, REST, and dashboard.. It is categorized as a MCP Server with 53 GitHub stars.
research-hub is primarily written in Python. It covers topics such as academic-research, ai-agents, ai-research.
You can find installation instructions and usage details in the research-hub GitHub repository at github.com/WenyuChiou/research-hub. The project has 53 stars and 8 forks, indicating an active community.
research-hub is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to research-hub on Agent Skills Hub include cli-anything-zotero, seerai, agent-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: