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Security Audit

wacli

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
40
CRITICAL
Scanned about 2 months ago
2
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

wacli received a trust score of 40/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 2 findings: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Obfuscated execution: base64 decode to shell, Malicious MacOS Installation Command Leads to Arbitrary Code Execution.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

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
70%
Dependency Graph
100%
LLM Behavioral Safety
70%

Behavioral Risk Signals

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

Security Findings2

SeverityFindingLayerLocation

Scan History

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