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Security Audit

youtube-summarizer

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
62
CAUTION
Scanned about 2 months ago
3
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

youtube-summarizer received a trust score of 62/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 6 findings: 3 critical, 1 high, 1 medium, and 1 low severity. Key findings include Node lockfile missing, Unpinned external dependency installation with arbitrary code execution, Unsanitized user input in shell command (VIDEO_ID).

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety 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
100%
Static Code Analysis
100%
Dependency Graph
98%
LLM Behavioral Safety
0%

Behavioral Risk Signals

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

Security Findings6

SeverityFindingLayerLocation

Scan History

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