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guardrails Security Audit Report

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guardrails is an AI agent skill, created by dgriffin831 and published at openclaw/skills. ClawSecure audited guardrails across 12 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 Malicious Code and Permissions Manifest, including Attempts to access sensitive file: SOUL.md and Attempts to access sensitive file: MEMORY.md. 2 were rated high or critical severity.

Is guardrails safe?

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

What did ClawSecure find in guardrails?

ClawSecure identified 3 findings in guardrails, concentrated in Malicious Code and Permissions Manifest. 2 were rated high or critical severity. The most severe include Attempts to access sensitive file: SOUL.md and Attempts to access sensitive file: MEMORY.md.

How was guardrails audited?

ClawSecure ran guardrails through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 12 files from openclaw/skills.

What does a score of 75 mean?

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

ClawSecure detected 3 security findings in guardrails, spanning Malicious Code and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for guardrails

Audit external network connections
guardrails 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

ClawHavoc Explained: The Malware Family Targeting AI AgentsBeyond Static Scans: Why ClawSecure Verifies Agentic IntentHow to Secure an MCP Server: The 2026 Guide

Related AI Agent Security Audits

Anthropic-Cybersecurity-SkillsScore 65/100GitNexusScore 75/100antigravity-awesome-skillsScore 75/100planoScore 85/100crewAIScore 85/100

Scanned on February 7, 2026. guardrails 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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