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Security Audit

jb-split-hook

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned 3 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

jb-split-hook received a trust score of 65/100, 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, 2 high, 0 medium, and 0 low severity. Key findings include Skill attempts to inject instructions into host LLM from untrusted content, Skill instructs LLM to generate executable deployment scripts, risking command injection, Skill instructs LLM to write files to specific paths, risking path traversal.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, 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
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
40%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
1 finding
Dynamic Code
2 findings
Excessive Permissions
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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