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Security Audit

blender-interactive

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
5
Critical
Immediate action required
4
High
Priority fixes suggested
5
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

blender-interactive 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 15 findings: 5 critical, 4 high, 5 medium, and 1 low severity. Key findings include Persistence / self-modification instructions, Arbitrary command execution, Dangerous call: exec().

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
10%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
53%

Behavioral Risk Signals

Network Access
7 findings
Filesystem Write
3 findings
Shell Execution
6 findings
Dynamic Code
2 findings
Excessive Permissions
6 findings

Security Findings15

SeverityFindingLayerLocation

Scan History

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