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ai-coding-shield Security Audit Report

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ai-coding-shield is an AI agent skill, created by AI-Coding-Shield and published at AI-Coding-Shield/ai-coding-shield. ClawSecure audited ai-coding-shield across 32 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 Code Injection and Permissions Manifest, including Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: curl.*\|.*sh. 3 were rated high or critical severity.

Is ai-coding-shield safe?

ClawSecure audited ai-coding-shield and assigned a security score of 65/100 (Medium Risk), identifying 4 findings across Code Injection and Permissions Manifest. Review the findings below before installing.

What did ClawSecure find in ai-coding-shield?

ClawSecure identified 4 findings in ai-coding-shield, concentrated in Code Injection and Permissions Manifest. 3 were rated high or critical severity. The most severe include Potentially dangerous code pattern detected: curl.*\|.*sh and Potentially dangerous code pattern detected: curl.*\|.*sh.

How was ai-coding-shield audited?

ClawSecure ran ai-coding-shield through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 32 files from AI-Coding-Shield/ai-coding-shield.

What does a score of 65 mean?

ClawSecure assigned ai-coding-shield a security score of 65/100, placing it in the Medium Risk range. This reflects 4 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 ai-coding-shield

ClawSecure detected 4 security findings in ai-coding-shield, spanning Code Injection and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for ai-coding-shield

Eliminate dynamic code execution
ai-coding-shield 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 SecurityBeyond Static Scans: Why ClawSecure Verifies Agentic IntentHow to Secure an MCP Server: The 2026 Guide

Related AI Agent Security Audits

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Scanned on May 8, 2026. ai-coding-shield 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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