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Security Audit

phantom

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
37
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

phantom received a trust score of 37/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 2 critical, 0 high, 1 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Shell command execution via curl | sh during installation, Untrusted and dynamic sources for critical dependency (openclaw-agent).

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 63/100, 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
63%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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