Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
79
71%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./SKILL.mdSecurity
2 findings — 2 medium severity. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.90). The skill's scripts (e.g., scripts/ask_question.py and the SKILL.md/README) explicitly open arbitrary NotebookLM notebook URLs and scrape the NotebookLM responses (user-uploaded or web-sourced content) which the agent must read and use to drive follow-up queries and synthesize actions, so untrusted third‑party content can materially influence the agent.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.90). The skill programmatically opens and queries NotebookLM notebook URLs (e.g. https://notebooklm.google.com/notebook/...) at runtime (ask_question.py / Smart Add) and uses the returned notebook content to drive follow-up questions and final answers, so external content fetched from that URL directly controls agent prompts/behavior.
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