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Security Audit

trustra-escrow

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
12
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

trustra-escrow received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 14 findings: 0 critical, 1 high, 12 medium, and 1 low severity. Key findings include Suspicious import: requests, Unpinned Python dependency version, Private Key Printed to Standard Output.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 23/100, 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
23%
Dependency Graph
93%
LLM Behavioral Safety
83%

Behavioral Risk Signals

Network Access
13 findings
Shell Execution
1 finding
Excessive Permissions
12 findings

Security Findings14

SeverityFindingLayerLocation

Scan History

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