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Security Audit

youtube-downloader

github.com/ComposioHQ/awesome-codex-skills
AI SkillCommit ccf6204f6a59
10
CRITICAL
Scanned 2 months ago
4
Critical
Immediate action required
6
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

youtube-downloader 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 11 findings: 4 critical, 6 high, 1 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unpinned Dependency in Runtime Installation.

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 16, 2026 (commit ccf6204f). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
18%
Dependency Graph
100%
LLM Behavioral Safety
85%

Behavioral Risk Signals

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

Security Findings11

SeverityFindingLayerLocation

Scan History

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