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Security Audit

home-assistant

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
3
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

home-assistant 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 6 findings: 3 critical, 1 high, 2 medium, and 0 low severity. Key findings include Persistence / self-modification instructions, Network egress to untrusted endpoints, Persistence mechanism: Shell RC file modification.

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

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

Layer Breakdown

Manifest Analysis
40%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
48%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

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