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smart-router Security Audit Report

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smart-router is an AI agent skill, created by c0nspic0us7urk3r and published at openclaw/skills. ClawSecure audited smart-router across 17 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 55/100 (Medium Risk). The 5 findings concentrate in Prompt Injection, Code Injection and Permissions Manifest, including Pattern detected: Ignore previous instructions and Pattern 'Ignore previous instructions...' detected in asset file. 4 were rated high or critical severity.

Is smart-router safe?

ClawSecure audited smart-router and assigned a security score of 55/100 (Medium Risk), identifying 5 findings across Prompt Injection and Code Injection. Review the findings below before installing.

What did ClawSecure find in smart-router?

ClawSecure identified 5 findings in smart-router, concentrated in Prompt Injection, Code Injection and Permissions Manifest. 4 were rated high or critical severity. The most severe include Pattern detected: Ignore previous instructions and Pattern 'Ignore previous instructions...' detected in asset file.

How was smart-router audited?

ClawSecure ran smart-router through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 17 files from openclaw/skills.

What does a score of 55 mean?

ClawSecure assigned smart-router a security score of 55/100, placing it in the Medium Risk range. This reflects 5 findings led by Prompt 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 smart-router

ClawSecure detected 5 security findings in smart-router, spanning Prompt Injection, Code Injection and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for smart-router

Investigate prompt injection vectors
Prompt injection is one of the most critical threats to AI agents. Attackers can embed malicious instructions in content the agent processes, causing unintended actions. Review every point where smart-router processes external content and add input validation and output filtering.
Eliminate dynamic code execution
smart-router 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

The Sleeper Agent Problem: Why a Clean Scan Today Does Not Guarantee Safety Tomorrow→OWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards→Why Generic Scanners Fail at AI Agent Security→

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Scanned on February 7, 2026. smart-router 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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