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Security Audit

wacli

github.com/openclaw/openclaw
AI SkillCommit b62bd290cb4e
33
CRITICAL
Scanned about 1 month ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

wacli received a trust score of 33/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 4 findings: 1 critical, 2 high, 1 medium, and 0 low severity. Key findings include Unpinned Go Module Dependency, Arbitrary File Exfiltration via WhatsApp, Arbitrary Message Sending to External Recipients.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 33/100, indicating areas for improvement.

Last analyzed on February 18, 2026 (commit b62bd290). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
33%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

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