notebooklm

The NotebookLM Automation skill presents a coherent, purpose-aligned toolset for programmatic NotebookLM interaction, including notebook management, source ingestion, chat, and multi-format artifact generation. However, several security concerns exist: uncertain supply-chain provenance for the notebooklm-py CLI installation, potential credential exposure via local config/storage, and the risk of parallel agents overwriting shared context. The data flows appear to be largely bounded to Google NotebookLM and user-provided sources, but artifacts may contain sensitive source content. Overall, the risk is moderate (suspicious but not clearly malicious) due to unverifiable binary distribution and potential for credential/config exposure. Mitigation should focus on sourcing from verifiable registries, pinning/checksums, isolating per-agent context, and clarifying credential handling and data retention policies.