Skip to main content

Security Audit

agentwallet

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

agentwallet 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 3 findings: 1 critical, 2 high, 0 medium, and 0 low severity. Key findings include Command Injection via untrusted HTTP header in manual x402 flow, Command Injection via untrusted payment signature in manual x402 flow, Agent instructed to read sensitive API token and wallet details from local config file.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, 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
40%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/79e11bd1cc8a5291.svg)](https://skillshield.io/report/79e11bd1cc8a5291)
SkillShield Badge

Powered by SkillShield