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linkedin-monitor Security Audit Report

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linkedin-monitor is an AI agent skill, created by Dylan Baker <dylan@lilagents.com> and published at openclaw/skills. ClawSecure audited linkedin-monitor across 15 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 85/100 (Safe). The 3 findings concentrate in Policy Violation, Data Exfiltration and Permissions Manifest, including Pattern detected: open(config_path) and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is linkedin-monitor safe?

ClawSecure audited linkedin-monitor and assigned a security score of 85/100 (Safe), identifying 3 findings across Policy Violation and Data Exfiltration. Review the findings below before installing.

What did ClawSecure find in linkedin-monitor?

ClawSecure identified 3 findings in linkedin-monitor, concentrated in Policy Violation, Data Exfiltration and Permissions Manifest. 1 was rated high or critical severity. The most severe include Pattern detected: open(config_path) and Missing config.json - agent may not be properly configured.

How was linkedin-monitor audited?

ClawSecure ran linkedin-monitor through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 15 files from openclaw/skills.

What does a score of 85 mean?

ClawSecure assigned linkedin-monitor a security score of 85/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status, though 1 finding was rated high or critical and warrants review. 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 linkedin-monitor

ClawSecure detected 3 security findings in linkedin-monitor, spanning Policy Violation, Data Exfiltration and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for linkedin-monitor

Resolve policy violations
linkedin-monitor trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Audit external network connections
linkedin-monitor sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.
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→ClawHavoc Explained: The Malware Family Targeting AI Agents→

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Scanned on February 7, 2026. linkedin-monitor 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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