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uk-trains Security Audit Report

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uk-trains is an AI agent skill, created by jabbslad and published at openclaw/skills. ClawSecure audited uk-trains across 4 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 80/100 (Safe). The 5 findings concentrate in Data Exfiltration, Policy Violation and Unauthorized Tool Use, including Pattern detected: import urllib.request and Skill code uses network libraries but doesn't declare network.... None were rated high or critical severity.

Is uk-trains safe?

ClawSecure audited uk-trains and assigned a security score of 80/100 (Safe), identifying 5 findings across Data Exfiltration and Policy Violation. Review the findings below before installing.

What did ClawSecure find in uk-trains?

ClawSecure identified 5 findings in uk-trains, concentrated in Data Exfiltration, Policy Violation and Unauthorized Tool Use. The most severe include Pattern detected: import urllib.request and Skill code uses network libraries but doesn't declare network....

How was uk-trains audited?

ClawSecure ran uk-trains through its 3-Layer Audit Protocol with full OWASP ASI Top 10 coverage, scanning 4 files from openclaw/skills.

What does a score of 80 mean?

ClawSecure assigned uk-trains a security score of 80/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status; the 5 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 uk-trains

ClawSecure detected 5 security findings in uk-trains, spanning Data Exfiltration, Policy Violation, Unauthorized Tool Use and Permissions Manifest.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for uk-trains

Audit external network connections
uk-trains sends data to external endpoints. Confirm each destination is expected and authorized, and remove any callback that exfiltrates data. ClawSecure monitors for known exfiltration and C2 endpoints.
Resolve policy violations
uk-trains 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

ClawHavoc Explained: The Malware Family Targeting AI AgentsBeyond Static Scans: Why ClawSecure Verifies Agentic IntentOWASP ASI Top 10 Explained: The Complete Guide to AI Agent Security Standards

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Scanned on February 7, 2026. uk-trains 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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