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Security Audit

clawhub

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
35
CRITICAL
Scanned 2 months ago
2
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

clawhub received a trust score of 35/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 8 findings: 2 critical, 2 high, 2 medium, and 2 low severity. Key findings include Network egress to untrusted endpoints, Execution of untrusted script from glot.io for agent installation, Global NPM package installation from external registry.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 22/100, indicating areas for improvement.

Last analyzed on February 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
70%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
22%

Behavioral Risk Signals

Network Access
5 findings
Shell Execution
7 findings
Dynamic Code
3 findings
Excessive Permissions
1 finding

Security Findings8

SeverityFindingLayerLocation

Scan History

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