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notebooklm-skill Security Audit Report

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notebooklm-skill is an AI agent skill, created by guccidgi and published at openclaw/skills. ClawSecure audited notebooklm-skill across 19 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 65/100 (Medium Risk). The 5 findings concentrate in Transitive Trust Abuse, Policy Violation and Command Injection, including Dangerous combination of code execution and system commands in... and Detects indirect prompt injection via instruction manipulation from.... 1 was rated high or critical severity.

Is notebooklm-skill safe?

ClawSecure audited notebooklm-skill and assigned a security score of 65/100 (Medium Risk), identifying 5 findings across Transitive Trust Abuse and Policy Violation. Review the findings below before installing.

What did ClawSecure find in notebooklm-skill?

ClawSecure identified 5 findings in notebooklm-skill, concentrated in Transitive Trust Abuse, Policy Violation and Command Injection. 1 was rated high or critical severity. The most severe include Dangerous combination of code execution and system commands in... and Detects indirect prompt injection via instruction manipulation from....

How was notebooklm-skill audited?

ClawSecure ran notebooklm-skill through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 19 files from openclaw/skills.

What does a score of 65 mean?

ClawSecure assigned notebooklm-skill a security score of 65/100, placing it in the Medium Risk range. This reflects 5 findings led by Transitive Trust Abuse that warrant review before production use. ClawSecure derives this score with a weighted deduction model (critical -20, high -10, medium -5, low -2 from a base of 100).

Audit Findings for notebooklm-skill

ClawSecure detected 5 security findings in notebooklm-skill, spanning Transitive Trust Abuse, Policy Violation, Command Injection and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for notebooklm-skill

Resolve policy violations
notebooklm-skill trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Harden command execution
notebooklm-skill constructs or runs system commands. Validate that commands are built only from trusted inputs, never pass user-controlled strings directly to a shell, and restrict execution to an allow-list of expected commands.
Add a config.json permissions manifest
A config.json file declares what an agent component can access: file system, network, shell execution and more. Without it, users have no visibility into what the component can do before installing. This is the single most impactful security improvement for any AI agent skill.
Pin dependencies to exact versions
Unpinned dependencies allow supply-chain attacks where a compromised version is pulled in automatically. Use exact version numbers in package.json (for example 1.2.3 instead of ^1.2.3) to keep unauthorized code out of your dependency tree. ClawSecure checks every dependency against known CVE databases.

Related Security Research

OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→Understanding Our 3-Layer Audit Protocol→Why Generic Scanners Fail at AI Agent Security→

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Scanned on February 7, 2026. notebooklm-skill is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

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