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Security Audit

ip2whois-automation

github.com/ComposioHQ/awesome-claude-skills
AI SkillCommit 99e2a2951545
55
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

ip2whois-automation received a trust score of 55/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 1 critical, 1 high, 0 medium, and 0 low severity. Key findings include Broad connection management permissions via RUBE_MANAGE_CONNECTIONS, Potential arbitrary code/tool execution via RUBE_REMOTE_WORKBENCH.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 55/100, indicating areas for improvement.

Last analyzed on February 17, 2026 (commit 99e2a295). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
55%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Shell Execution
1 finding
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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