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Security Audit

ray-so-code-snippet

github.com/intellectronica/agent-skills
AI SkillCommit 326f2466f4b7
48
CRITICAL
Scanned 9 days ago
1
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

ray-so-code-snippet received a trust score of 48/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 1 critical, 1 high, 1 medium, and 0 low severity. Key findings include Command Injection in URL Encoding of User Code, External JavaScript Library Loaded from CDN, Fetching Configuration Data from GitHub Raw Content.

The analysis covered 4 layers: manifest_analysis, llm_behavioral_safety, static_code_analysis, dependency_graph. The static_code_analysis layer scored lowest at 48/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit 326f2466). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Network Access
3 findings
Shell Execution
3 findings
Dynamic Code
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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