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93daa24aad20057a Security Audit Report

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93daa24aad20057a is an AI agent skill, created by nextlevelbuilder and published at nextlevelbuilder/ui-ux-pro-max-skill. ClawSecure audited 93daa24aad20057a across 65 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 75/100 (Medium Risk). The 3 findings concentrate in Code Injection and Permissions Manifest, including Potentially dangerous code pattern detected: system\( and Potentially dangerous code pattern detected: system\(. 2 were rated high or critical severity.

Is 93daa24aad20057a safe?

ClawSecure audited 93daa24aad20057a and assigned a security score of 75/100 (Medium Risk), identifying 3 findings across Code Injection and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in 93daa24aad20057a?

ClawSecure identified 3 findings in 93daa24aad20057a, concentrated in Code Injection and Permissions Manifest. 2 were rated high or critical severity. The most severe include Potentially dangerous code pattern detected: system\( and Potentially dangerous code pattern detected: system\(.

How was 93daa24aad20057a audited?

ClawSecure ran 93daa24aad20057a through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 65 files from nextlevelbuilder/ui-ux-pro-max-skill.

What does a score of 75 mean?

ClawSecure assigned 93daa24aad20057a a security score of 75/100, placing it in the Medium Risk range. This reflects 3 findings led by Code Injection 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 93daa24aad20057a

ClawSecure detected 3 security findings in 93daa24aad20057a, spanning Code Injection and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for 93daa24aad20057a

Eliminate dynamic code execution
93daa24aad20057a evaluates code at runtime (for example eval or dynamic exec). Remove dynamic evaluation of untrusted input, and where code generation is unavoidable, sandbox it and validate every input.
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→Beyond Static Scans: Why ClawSecure Verifies Agentic Intent→How to Secure an MCP Server: The 2026 Guide→

Related AI Agent Security Audits

ui-ux-pro-max-skillScore 75/10000f887ade4241a9cScore 75/10088d861c6d7c58060Score 85/100b2e107e8f7224f2aScore 85/1001c0c1f27dedb134fScore 85/100

Scanned on July 21, 2026. 93daa24aad20057a 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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