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seoul-subway Security Audit Report

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seoul-subway is an AI agent skill, created by dukbong and published at dukbong/seoul-subway. ClawSecure audited seoul-subway across 70 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 5 findings concentrate in Policy Violation, ReDoS and Permissions Manifest, including Only 52% of skill content could be analyzed. 35 of 70 files are opaque... and Missing config.json - agent may not be properly configured. 1 was rated high or critical severity.

Is seoul-subway safe?

ClawSecure audited seoul-subway and assigned a security score of 75/100 (Medium Risk), identifying 5 findings across Policy Violation and ReDoS. Review the findings below before installing.

What did ClawSecure find in seoul-subway?

ClawSecure identified 5 findings in seoul-subway, concentrated in Policy Violation, ReDoS and Permissions Manifest. 1 was rated high or critical severity. The most severe include Only 52% of skill content could be analyzed. 35 of 70 files are opaque... and Missing config.json - agent may not be properly configured.

How was seoul-subway audited?

ClawSecure ran seoul-subway through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 70 files from dukbong/seoul-subway.

What does a score of 75 mean?

ClawSecure assigned seoul-subway a security score of 75/100, placing it in the Medium Risk range. This reflects 5 findings led by Policy Violation 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 seoul-subway

ClawSecure detected 5 security findings in seoul-subway, spanning Policy Violation, ReDoS and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for seoul-subway

Resolve policy violations
seoul-subway trips ClawSecure policy checks. Review each flagged pattern against your security policy and remediate or document an accepted exception before production use.
Fix ReDoS-prone patterns
seoul-subway contains regular expressions vulnerable to catastrophic backtracking (ReDoS). Replace vulnerable patterns, bound input length, and prefer linear-time matching so a crafted input cannot hang the agent.
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 ProtocolWhy Generic Scanners Fail at AI Agent Security

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Scanned on May 4, 2026. seoul-subway 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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