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Security Audit

4chad

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
77
TRUSTED
Scanned about 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

4chad received a trust score of 77/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Unverified file downloads during installation, Unpinned Node.js dependencies for signing script, Private key exposed in command-line arguments.

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
100%
Dependency Graph
100%
LLM Behavioral Safety
71%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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