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Security Audit

rsdoctor-analysis

github.com/rstackjs/agent-skills
AI SkillCommit 46637d3c02aa
56
CAUTION
Scanned 8 days ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

rsdoctor-analysis received a trust score of 56/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 4 findings: 0 critical, 2 high, 2 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval.

The analysis covered 4 layers: manifest_analysis, llm_behavioral_safety, dependency_graph, static_code_analysis. The manifest_analysis layer scored lowest at 56/100, indicating areas for improvement.

Last analyzed on February 11, 2026 (commit 46637d3c). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
56%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Shell Execution
4 findings
Dynamic Code
4 findings

Security Findings4

SeverityFindingLayerLocation

Scan History

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