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Security Audit

node-transfer

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 1 month ago
3
Critical
Immediate action required
4
High
Priority fixes suggested
9
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

node-transfer received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 17 findings: 3 critical, 4 high, 9 medium, and 1 low severity. Key findings include Network egress to untrusted endpoints, Unsafe deserialization / dynamic eval, Missing required field: name.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, 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
0%
Static Code Analysis
93%
Dependency Graph
98%
LLM Behavioral Safety
25%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
5 findings
Shell Execution
10 findings
Dynamic Code
10 findings

Security Findings17

SeverityFindingLayerLocation

Scan History

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