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glm-coding-agent Security Audit Report

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glm-coding-agent is an AI agent skill, created by cgnl and published at openclaw/skills. ClawSecure audited glm-coding-agent across 3 files through the 3-Layer Audit Protocol covering all ten OWASP ASI Top 10 categories, assigning a security score of 80/100 (Safe). The 4 findings concentrate in Policy Violation, Skill Discovery Abuse and Permissions Manifest, including Attempts to access sensitive file: .ssh/ and Detects protocol manipulation via capability inflation in skill.... 1 was rated high or critical severity.

Is glm-coding-agent safe?

ClawSecure audited glm-coding-agent and assigned a security score of 80/100 (Safe), identifying 4 findings across Policy Violation and Skill Discovery Abuse. Review the findings below before installing.

What did ClawSecure find in glm-coding-agent?

ClawSecure identified 4 findings in glm-coding-agent, concentrated in Policy Violation, Skill Discovery Abuse and Permissions Manifest. 1 was rated high or critical severity. The most severe include Attempts to access sensitive file: .ssh/ and Detects protocol manipulation via capability inflation in skill....

How was glm-coding-agent audited?

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

What does a score of 80 mean?

ClawSecure assigned glm-coding-agent a security score of 80/100, placing it in the Safe range. Scores of 80 or above qualify for ClawSecure Verified status, though 1 finding was rated high or critical and warrants review. 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 glm-coding-agent

ClawSecure detected 4 security findings in glm-coding-agent, spanning Policy Violation, Skill Discovery Abuse, Permissions Manifest and Malicious Code.

Each finding is expandable in the interactive list below.

3-Layer Audit Protocol

Security Recommendations for glm-coding-agent

Resolve policy violations
glm-coding-agent 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.
Audit external network connections
glm-coding-agent 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.
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 Standards→Understanding Our 3-Layer Audit Protocol→How to Secure an MCP Server: The 2026 Guide→

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Scanned on February 7, 2026. glm-coding-agent 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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