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
2
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 6 findings: 2 critical, 2 high, 2 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Unverified script execution during Solana CLI installation, Execution of unverified script from untrusted source (glot.io).

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 26/100, 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
26%

Behavioral Risk Signals

Network Access
4 findings
Filesystem Write
2 findings
Shell Execution
4 findings
Dynamic Code
2 findings

Security Findings6

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/7313c0a9f3a92c19.svg)](https://skillshield.io/report/7313c0a9f3a92c19)
SkillShield Badge

Powered by SkillShield