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skill-vetter-v2 Security Audit Report

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skill-vetter-v2 is an AI agent skill, created by nutstrut and published at nutstrut/skill-vetter-v2. ClawSecure audited skill-vetter-v2 across 14 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 70/100 (Medium Risk). The 4 findings concentrate in Policy Violation, Unauthorized Tool Use and Permissions Manifest, including Suspicious Pattern: chmod 777 and Only 86% of skill content could be analyzed. 2 of 14 files…. 1 was rated high or critical severity.

Is skill-vetter-v2 safe?

ClawSecure audited skill-vetter-v2 and assigned a security score of 70/100 (Medium Risk), identifying 4 findings across Policy Violation and Unauthorized Tool Use. Review the findings below before installing.

What did ClawSecure find in skill-vetter-v2?

ClawSecure identified 4 findings in skill-vetter-v2, concentrated in Policy Violation, Unauthorized Tool Use and Permissions Manifest. 1 was rated high or critical severity. The most severe include Suspicious Pattern: chmod 777 and Only 86% of skill content could be analyzed. 2 of 14 files….

How was skill-vetter-v2 audited?

ClawSecure ran skill-vetter-v2 through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 14 files from nutstrut/skill-vetter-v2.

What does a score of 70 mean?

ClawSecure assigned skill-vetter-v2 a security score of 70/100, placing it in the Medium Risk range. This reflects 4 findings led by Policy Violation 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 skill-vetter-v2

ClawSecure detected 4 security findings in skill-vetter-v2, spanning Policy Violation, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for skill-vetter-v2

Resolve policy violations
skill-vetter-v2 trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
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→How to Secure an MCP Server: The 2026 Guide→

Related AI Agent Security Audits

api-gatewayScore 81/100gitlab-cli-skillsScore 55/100@penpot/mcpScore 75/100clawdhubScore 75/100xlsxScore 63/100

Scanned on June 22, 2026. skill-vetter-v2 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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