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Security Audit

openclaw-security-hardening

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned about 1 month ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
5
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

openclaw-security-hardening 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 5 findings: 0 critical, 0 high, 5 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 65/100, indicating areas for improvement.

Last analyzed on February 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
65%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Shell Execution
5 findings
Excessive Permissions
5 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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