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Security Audit

solana-swaps

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned 3 months ago
3
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

solana-swaps received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 3 critical, 2 high, 0 medium, and 0 low severity. Key findings include Command Injection via Unsanitized URL Parameters in Curl, Command Injection via Unsanitized Token Mint Address, Command Injection via Unsanitized Transaction Data to Node.js Script.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 13, 2026 (commit 13146e6a). 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%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
1 finding
Shell Execution
5 findings
Dynamic Code
3 findings
Excessive Permissions
2 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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