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Security Audit

jb-hook-deploy-ui

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
68
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
6
Low
Acknowledged / Tracked

Trust Assessment

jb-hook-deploy-ui received a trust score of 68/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 8 findings: 0 critical, 1 high, 0 medium, and 6 low severity. Key findings include Covert behavior / concealment directives, Unpinned CDN Dependencies for Critical Libraries, Client-Side Handling of Etherscan API Key.

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
88%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

Network Access
2 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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