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Security Audit

harvey

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
83
TRUSTED
Scanned about 1 month ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
2
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

harvey received a trust score of 83/100, 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 Unsafe deserialization / dynamic eval, Suspicious import: requests, Unpinned Python Dependency.

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
93%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
98%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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