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Security Audit

lobster

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
75
TRUSTED
Scanned 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

lobster received a trust score of 75/100, 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, 1 high, 1 medium, and 1 low severity. Key findings include Missing required field: name, Direct source dependency in package.json, Node lockfile missing.

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 18, 2026 (commit b62bd290). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
93%
Dependency Graph
83%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Filesystem Write
1 finding

Security Findings3

SeverityFindingLayerLocation

Scan History

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