← Back to Scanner

llmrouter Security Audit Report

🔭 Continuously monitored by ClawSecure Watchtower
Source:
SHA-256:

llmrouter is an AI agent skill, created by alexrudloff and published at openclaw/skills. ClawSecure audited llmrouter across 2 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 90/100 (Safe). The 3 findings concentrate in Social Engineering, Policy Violation and Permissions Manifest, including Skill name or description contains 'Anthropic', suggesting official... and Missing config.json - agent may not be properly configured. None were rated high or critical severity.

Is llmrouter safe?

ClawSecure audited llmrouter and assigned a security score of 90/100 (Safe), identifying 3 findings across Social Engineering and Policy Violation. Review the findings below before installing.

What did ClawSecure find in llmrouter?

ClawSecure identified 3 findings in llmrouter, concentrated in Social Engineering, Policy Violation and Permissions Manifest. The most severe include Skill name or description contains 'Anthropic', suggesting official... and Missing config.json - agent may not be properly configured.

How was llmrouter audited?

ClawSecure ran llmrouter through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 2 files from openclaw/skills.

What does a score of 90 mean?

ClawSecure assigned llmrouter a security score of 90/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 3 findings detected are lower-severity. 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 llmrouter

ClawSecure detected 3 security findings in llmrouter, spanning Social Engineering, Policy Violation and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for llmrouter

Resolve policy violations
llmrouter 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 StandardsUnderstanding Our 3-Layer Audit ProtocolHow to Secure an MCP Server: The 2026 Guide

Related AI Agent Security Audits

sonoscliScore 95/100f968405e77f5edd5Score 95/100wacliScore 95/100a6fe8825e22682daScore 95/100cbc3dac9d0cccf41Score 95/100

Scanned on February 7, 2026. llmrouter is one of thousands of agents audited by ClawSecure from the community-curated awesome-openclaw-skills list and the openclaw/skills repository.

Start Your Free Scan