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Security Audit

mbc-20

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
76
TRUSTED
Scanned 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

mbc-20 received a trust score of 76/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Potential Shell Command Execution in Integration Instructions, Unpinned External Skill Content Download.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Network Access
2 findings
Shell Execution
1 finding
Dynamic Code
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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