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Security Audit

ray-so-code-snippet

github.com/intellectronica/agent-skills
AI SkillCommit 9b0e00ad1b94
10
CRITICAL
Scanned about 2 months ago
1
Critical
Immediate action required
4
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

ray-so-code-snippet 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 6 findings: 1 critical, 4 high, 1 medium, and 0 low severity. Key findings include Hidden network beacons / undisclosed telemetry, Command Injection via Unsanitized User Input in Python `eval`, Path Traversal Vulnerability in Output File Saving.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 48/100, indicating areas for improvement.

Last analyzed on June 1, 2026 (commit 9b0e00ad). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
55%
Static Code Analysis
48%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
4 findings
Filesystem Write
1 finding
Shell Execution
5 findings
Dynamic Code
1 finding

Security Findings6

SeverityFindingLayerLocation

Scan History

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