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Security Audit

sundial-org/awesome-openclaw-skills:skills/ai-video-gen

github.com/sundial-org/awesome-openclaw-skills
AI SkillCommit 6d998e005da6
0
CRITICAL
Scanned 27 days ago
7
Critical
Immediate action required
8
High
Priority fixes suggested
6
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

sundial-org/awesome-openclaw-skills:skills/ai-video-gen received a trust score of 0/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 21 findings: 7 critical, 8 high, 6 medium, and 0 low severity. Key findings include Network egress to untrusted endpoints, Unsafe environment variable passthrough, Arbitrary command execution.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on March 3, 2026 (commit 6d998e00). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
65%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
6 findings
Filesystem Write
4 findings
Shell Execution
7 findings
Dynamic Code
1 finding
Excessive Permissions
3 findings

Security Findings21

SeverityFindingLayerLocation

Scan History

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