Skip to main content

Security Audit

phantom

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
35
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

phantom received a trust score of 35/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 2 critical, 2 high, 1 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Execution of unverified script from pastebin for openclaw-agent installation, Unpinned executable download for 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 33/100, 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
33%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/57bd48aa2b0ed7f5.svg)](https://skillshield.io/report/57bd48aa2b0ed7f5)
SkillShield Badge

Powered by SkillShield