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content-advisory Security Audit Report

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content-advisory is an AI agent skill, created by dbhurley and published at openclaw/skills. ClawSecure audited content-advisory across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 85/100 (Safe). The 4 findings concentrate in Policy Violation, Data Exfiltration and Unauthorized Tool Use, including Pattern detected: from urllib.request import and Skill code uses network libraries but doesn't declare network.... None were rated high or critical severity.

Is content-advisory safe?

ClawSecure audited content-advisory and assigned a security score of 85/100 (Safe), identifying 4 findings across Policy Violation and Data Exfiltration. Review the findings below before installing.

What did ClawSecure find in content-advisory?

ClawSecure identified 4 findings in content-advisory, concentrated in Policy Violation, Data Exfiltration and Unauthorized Tool Use. The most severe include Pattern detected: from urllib.request import and Skill code uses network libraries but doesn't declare network....

How was content-advisory audited?

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

What does a score of 85 mean?

ClawSecure assigned content-advisory a security score of 85/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 4 findings detected are lower-severity. 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 content-advisory

ClawSecure detected 4 security findings in content-advisory, spanning Policy Violation, Data Exfiltration, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for content-advisory

Resolve policy violations
content-advisory 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
content-advisory 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→

Related AI Agent Security Audits

@mohtasham/md-to-docxScore 85/100pptxScore 93/100summarizeScore 95/100Powerpoint / PPTXScore 95/100cve-2026-42945-nginx-rewrite-analysisScore 85/100

Scanned on February 7, 2026. content-advisory 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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