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Security Audit

openclaw-multi-brain

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
23
Critical
Immediate action required
4
High
Priority fixes suggested
8
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

openclaw-multi-brain 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 36 findings: 23 critical, 4 high, 8 medium, and 1 low severity. Key findings include Persistence / self-modification instructions, Arbitrary command execution, Missing required field: name.

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
34%
Dependency Graph
98%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
13 findings
Shell Execution
17 findings
Dynamic Code
5 findings
Excessive Permissions
3 findings

Security Findings36

SeverityFindingLayerLocation

Scan History

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