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Security Audit

TubeScribe

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 3 months ago
31
Critical
Immediate action required
30
High
Priority fixes suggested
4
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

TubeScribe 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 66 findings: 31 critical, 30 high, 4 medium, and 1 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Suspicious import: urllib.request.

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

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
16%

Behavioral Risk Signals

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

Security Findings66

SeverityFindingLayerLocation

Scan History

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