Security Audit
railway-environment
github.com/davila7/claude-code-templatesAI SkillCommit 458b11867eae
100
TRUSTED0
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked
Trust Assessment
railway-environment received a trust score of 100/100, placing it in the Trusted category. This skill has passed all critical security checks and demonstrates strong security practices.
SkillShield's automated analysis found no security findings for this skill, indicating clean results across all evaluated layers.
The analysis covered 4 layers: llm_behavioral_safety, dependency_graph, static_code_analysis, manifest_analysis. The llm_behavioral_safety layer scored lowest at 0/100, indicating areas for improvement.
Last analyzed on February 11, 2026 (commit 458b1186). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.
Layer Breakdown
Manifest Analysis
100%Static Code Analysis
100%Dependency Graph
100%LLM Behavioral Safety
0%Security Findings0
No findings detected. This skill appears clean.
Scan History
Embed Code
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