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Security Audit

Shaivpidadi/FreeRide:root

github.com/Shaivpidadi/FreeRide
AI SkillCommit 7b3bb7b2b0ae
72
CAUTION
Scanned 2 days ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

Shaivpidadi/FreeRide:root received a trust score of 72/100, 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, 0 high, 4 medium, and 0 low severity. Key findings include Suspicious import: requests, Unpinned Python dependency version, Unpinned dependency in install script.

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 April 5, 2026 (commit 7b3bb7b2). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
79%
Dependency Graph
93%
LLM Behavioral Safety
100%

Behavioral Risk Signals

Network Access
3 findings
Shell Execution
1 finding
Excessive Permissions
2 findings

Security Findings4

SeverityFindingLayerLocation

Scan History

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