phy-notebooklmUse this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automati...
Install via ClawdBot CLI:
clawdbot install PHY041/phy-notebooklmGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
upload → https://notebooklm.google.com/notebook/...Calls external URL not in known-safe list
https://notebooklm.google.com/notebook/...`AI Analysis
The skill interacts with the legitimate Google NotebookLM service, which is its stated purpose. The 'UNKNOWN_DATA_SINK' signal is a false positive, as uploading to the user's own notebook URL is the core, intended functionality. No credential harvesting, hidden instructions, or obfuscation are present.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Researchers can query uploaded academic papers and literature reviews in NotebookLM to get source-grounded answers with citations. This helps verify claims, find supporting evidence, and synthesize information across multiple documents without manual searching.
Software developers and technical writers can upload API documentation, codebases, and technical specs to NotebookLM, then ask specific questions about implementation details, dependencies, or troubleshooting steps. The skill retrieves answers exclusively from the uploaded technical documents.
Legal professionals can upload contracts, case files, and regulatory documents to NotebookLM, then query specific clauses, precedents, or compliance requirements. The source-grounded answers help ensure accurate interpretation without hallucinations from external knowledge.
Companies can maintain internal documentation, policies, and training materials in NotebookLM notebooks, allowing employees to query company-specific information. This ensures consistent answers based on official documents rather than individual interpretations.
Healthcare professionals can upload medical journals, clinical guidelines, and research studies to NotebookLM, then ask questions about treatment protocols, drug interactions, or recent findings. The citation-backed answers help maintain evidence-based practice standards.
Offer specialized research services where clients provide their documents, and the service uses NotebookLM to answer specific queries with source citations. This could serve academic institutions, legal firms, or market research companies needing document-grounded insights.
Integrate NotebookLM with technical support systems to automatically answer customer questions based on product documentation, manuals, and troubleshooting guides. This reduces support ticket volume while ensuring accurate, document-backed responses.
Provide compliance monitoring for regulated industries by uploading policy documents, regulations, and audit requirements to NotebookLM. Clients can query specific compliance questions and receive answers with direct citations to relevant documents.
💬 Integration Tip
Always use the run.py wrapper for dependency management and ensure browser visibility during authentication setup for Google login.
Scored Apr 19, 2026
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