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Security Audit

media-orchestrator

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
7
Critical
Immediate action required
5
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

media-orchestrator 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 12 findings: 7 critical, 5 high, 0 medium, and 0 low severity. Key findings include Arbitrary command execution, Dangerous call: subprocess.run(), Unsanitized user input 'query' passed to 'spotify_surface.py'.

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
40%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
12 findings
Dynamic Code
3 findings

Security Findings12

SeverityFindingLayerLocation

Scan History

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