Skip to main content

Security Audit

railway-templates

github.com/davila7/claude-code-templates
AI SkillCommit 458b11867eae
71
CAUTION
Scanned 11 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

railway-templates received a trust score of 71/100, 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, 1 high, 2 medium, and 1 low severity. Key findings include Network egress to untrusted endpoints, Covert behavior / concealment directives, Broad Bash execution permissions for `railway` CLI.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

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
91%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Network Access
1 finding
Shell Execution
1 finding
Excessive Permissions
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/014530077321375f.svg)](https://skillshield.io/report/014530077321375f)
SkillShield Badge

Powered by SkillShield