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Security Audit

molt-pmxt

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
87
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

molt-pmxt received a trust score of 87/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 3 findings: 0 critical, 0 high, 2 medium, and 1 low severity. Key findings include Unpinned npm dependency version, Unpinned `pmxtjs` dependency in `package.json`, Potential exposure of private keys in error logs during initialization.

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 14, 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
93%
LLM Behavioral Safety
91%

Behavioral Risk Signals

Excessive Permissions
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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