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Security Audit

auto-animate

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
75
TRUSTED
Scanned 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

auto-animate 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, 2 medium, and 0 low severity. Key findings include Command Injection via Package Manager Execution, Excessive Filesystem Permissions, Unpinned Dependency Version.

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

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
71%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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