Skip to main content

Security Audit

openclaw-setup

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

Trust Assessment

openclaw-setup 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 4 findings: 2 critical, 1 high, 1 medium, and 0 low severity. Key findings include Command Injection via Unsanitized User Input in Environment Variable Assignment, Command Injection via Unsanitized User Input in Environment Variable Assignment (Verification), Command Injection via Unsanitized Domain Name in Certbot Command.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 18/100, indicating areas for improvement.

Last analyzed on February 14, 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
18%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
4 findings
Dynamic Code
4 findings

Security Findings4

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/cdb3653c7524f863.svg)](https://skillshield.io/report/cdb3653c7524f863)
SkillShield Badge

Powered by SkillShield