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Security Audit

clawland

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
92
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

clawland received a trust score of 92/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.

SkillShield's automated analysis identified 2 findings: 0 critical, 0 high, 1 medium, and 1 low severity. Key findings include Unpinned npm dependencies installed via execSync, Skill accesses and manages files in user's home directory.

The analysis covered 1 layer: LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest AnalysisNot run
Static Code AnalysisNot run
Dependency GraphNot run
LLM Behavioral Safety
91%

Behavioral Risk Signals

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

Security Findings2

SeverityFindingLayerLocation

Scan History

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