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Security Audit

NadMail

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
42
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
8
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

NadMail received a trust score of 42/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 9 findings: 0 critical, 0 high, 8 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Potential hardcoded secret (high entropy), Sensitive environment variable access: $HOME.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 65/100, 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
65%
Static Code Analysis
86%
Dependency Graph
93%
LLM Behavioral Safety
98%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
6 findings
Dynamic Code
5 findings
Excessive Permissions
1 finding

Security Findings9

SeverityFindingLayerLocation

Scan History

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