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Security Audit

lobster-trap

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
0
Critical
Immediate action required
8
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

lobster-trap received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 10 findings: 0 critical, 8 high, 2 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Sensitive path access: AI agent config, Unsanitized shell variables in curl commands.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 0/100, 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
0%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
7 findings
Shell Execution
10 findings
Dynamic Code
1 finding
Excessive Permissions
8 findings

Security Findings10

SeverityFindingLayerLocation

Scan History

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