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Anthropic-Cybersecurity-Skills Security Audit Report

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Anthropic-Cybersecurity-Skills is an AI agent skill, created by mukul975 and published at mukul975/Anthropic-Cybersecurity-Skills. ClawSecure audited Anthropic-Cybersecurity-Skills across 82 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 4 findings concentrate in ReDoS, Malicious Code and Permissions Manifest, including Suspicious domain detected: pastebin.com/raw (potential… and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is Anthropic-Cybersecurity-Skills safe?

ClawSecure audited Anthropic-Cybersecurity-Skills and assigned a security score of 65/100 (Medium Risk), identifying 4 findings across ReDoS and Malicious Code. Review the findings below before installing.

What did ClawSecure find in Anthropic-Cybersecurity-Skills?

ClawSecure identified 4 findings in Anthropic-Cybersecurity-Skills, concentrated in ReDoS, Malicious Code and Permissions Manifest. 1 was rated high or critical severity. The most severe include Suspicious domain detected: pastebin.com/raw (potential… and Missing config.json - agent may not be properly configured.

How was Anthropic-Cybersecurity-Skills audited?

ClawSecure ran Anthropic-Cybersecurity-Skills through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 82 files from mukul975/Anthropic-Cybersecurity-Skills.

What does a score of 65 mean?

ClawSecure assigned Anthropic-Cybersecurity-Skills a security score of 65/100, placing it in the Medium Risk range. This reflects 4 findings led by ReDoS 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 Anthropic-Cybersecurity-Skills

ClawSecure detected 4 security findings in Anthropic-Cybersecurity-Skills, spanning ReDoS, Malicious Code and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for Anthropic-Cybersecurity-Skills

Fix ReDoS-prone patterns
Anthropic-Cybersecurity-Skills contains regular expressions vulnerable to catastrophic backtracking (ReDoS). Replace vulnerable patterns, bound input length, and prefer linear-time matching so a crafted input cannot hang the agent.
Audit external network connections
Anthropic-Cybersecurity-Skills connects to external endpoints. Verify every outbound connection goes to a trusted destination. Unauthorized callbacks are a primary indicator of ClawHavoc malware and data exfiltration. ClawSecure's proprietary engine monitors for known malicious endpoints including C2 infrastructure.
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

Why Generic Scanners Fail at AI Agent Security→Understanding Our 3-Layer Audit Protocol→ClawHavoc Explained: The Malware Family Targeting AI Agents→

Related AI Agent Security Audits

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Scanned on August 8, 2026. Anthropic-Cybersecurity-Skills 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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