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Security Audit

balance-management

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
37
CRITICAL
Scanned 3 months ago
0
Critical
Immediate action required
6
High
Priority fixes suggested
5
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

balance-management received a trust score of 37/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 11 findings: 0 critical, 6 high, 5 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Command injection via baseUrl in config file, Command injection via unvalidated invoice ID.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 3/100, 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
72%
Dependency Graph
100%
LLM Behavioral Safety
3%

Behavioral Risk Signals

Network Access
6 findings
Filesystem Write
5 findings
Shell Execution
11 findings
Dynamic Code
7 findings
Excessive Permissions
4 findings

Security Findings11

SeverityFindingLayerLocation

Scan History

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