OpenClaw Expert Brain
v1.0.0Manual interactivo de OpenClaw con 185 fuentes curadas en NotebookLM. Pregunta sobre instalación, configuración, skills, troubleshooting, multi-agent, cron,...
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byCarlos De La Torre@radelqui
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (interactive OpenClaw manual) match the implementation: the script invokes the nlm CLI to query a NotebookLM notebook. Declared required binaries (python3, nlm) are appropriate. The tiny requirements.txt entry (python-dotenv) is unused by the script but is not harmful.
Instruction Scope
SKILL.md instructs the agent to run the bundled script which calls nlm notebook query with an optional OPENCLAW_NOTEBOOK_ID. The instructions do not ask for arbitrary file reads, unrelated env vars, or sending data to unknown endpoints. The claim of "Cero alucinaciones" is a content guarantee that cannot be technically enforced by the skill itself (note).
Install Mechanism
No automated install spec is present (instruction-only), which minimizes risk. The README tells users to install notebooklm-mcp-cli via pip — a normal public package install. There are no downloads from unknown URLs or extract steps in the manifest.
Credentials
The skill does not require secrets or config paths. It expects the user to authenticate nlm with Google (nlm login), which is appropriate for accessing NotebookLM. Optional OPENCLAW_NOTEBOOK_ID is reasonable. Note: nlm will manage OAuth tokens locally — expected but worth awareness.
Persistence & Privilege
Skill does not request always:true, does not modify other skills or system-wide settings, and has no special persistence privileges. It simply invokes a CLI at runtime.
Assessment
This skill appears to do what it says: it runs a small Python wrapper that calls your locally installed nlm CLI to query a curated NotebookLM notebook. Before installing/using it: (1) confirm you install notebooklm-mcp-cli from a trusted source and understand nlm will perform Google OAuth and store tokens locally; (2) avoid sending sensitive secrets or private data in queries to NotebookLM; (3) review the notebook ID (default is provided) if you need to ensure the data sources are trustworthy; (4) note requirements.txt lists python-dotenv but the script doesn't use it — benign but odd. If you want extra assurance, inspect the nlm package source or run the script in an isolated environment first.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🧠 Clawdis
Binspython3, nlm