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 claude-world · MCP Server · ★ 423
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is notebooklm-skill safe to install? View the security audit →
notebooklm-skill NotebookLM does the research, Claude writes the content. The only tool that connects trending topic discovery → NotebookLM deep research → AI content creation → multi-platform publishing. Works as a Claude Code Skill or standalone MCP Server. 繁體中文版 README Demo All slides, podcasts, and videos were generated by NotebookLM using this tool. What is this? notebooklm-skill bridges NotebookLM's research capabilities with Claude's content generation. Feed it URLs, PDFs, or trending topics — it creates a NotebookLM notebook, runs deep research queries, and hands structured findings to Claude for polished output: articles, social posts, newsletters, podcasts, or any format you need. Built on notebooklm-py v0.3.4 — pure async Python, no OAuth setup needed. Sources (URLs, PDFs) NotebookLM Claude Artifacts & Platforms ++ ++ ++ ++ Add source
| Stars | 423 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.035517150079/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-18 |
| Created | 2026-03-13 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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notebooklm-skill is NotebookLM does the research, Claude writes the content. Research → Synthesis → Content Creation → Publishing. Claude Code Skill + MCP Server.. It is categorized as a MCP Server with 423 GitHub stars.
notebooklm-skill is primarily written in Python. It covers topics such as ai-research, claude-code, claude-code-skill.
You can find installation instructions and usage details in the notebooklm-skill GitHub repository at github.com/claude-world/notebooklm-skill. The project has 423 stars and 54 forks, indicating an active community.
notebooklm-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to notebooklm-skill on Agent Skills Hub include ai-agent-team, ai-research-skills, notebooklm-mcp. 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: