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Security Audit

openclaw-security-monitor

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
23
Critical
Immediate action required
5
High
Priority fixes suggested
22
Medium
Best practices review
2
Low
Acknowledged / Tracked

Trust Assessment

openclaw-security-monitor received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 52 findings: 23 critical, 5 high, 22 medium, and 2 low severity. Key findings include Persistence / self-modification instructions, Network egress to untrusted endpoints, Arbitrary command execution.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, 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
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
30%

Behavioral Risk Signals

Network Access
6 findings
Filesystem Write
16 findings
Shell Execution
41 findings
Dynamic Code
6 findings
Excessive Permissions
15 findings

Security Findings52

SeverityFindingLayerLocation

Scan History

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