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Security Audit

jmagar/unifi-mcp:skills/unifi

github.com/jmagar/unifi-mcp
AI SkillCommit 949bec726ebe
65
CAUTION
Scanned 11 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

jmagar/unifi-mcp:skills/unifi received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Potential Command Injection via Unsanitized Environment Variables in Shell Commands, Insecure SSL/TLS Communication (Data Exfiltration Risk), Insecure SSL/TLS Communication (Credential Harvesting Risk).

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 May 20, 2026 (commit 949bec72). 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
71%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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