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Security Audit

clawdvine

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
50
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

clawdvine received a trust score of 50/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Hardcoded Bearer Token detected, Unpinned npm dependency version, Skill requires and uses EVM private key for on-chain transactions.

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
93%
LLM Behavioral Safety
70%

Security Findings3

SeverityFindingLayerLocation

Scan History

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