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Security Audit

whatsmolt

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
60
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

whatsmolt received a trust score of 60/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 2 high, 2 medium, and 1 low severity. Key findings include Hardcoded Bearer Token detected, Node lockfile missing, Potential Command Injection in Cron Job Configuration.

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 13, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
85%
Dependency Graph
98%
LLM Behavioral Safety
71%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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