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Security Audit

claw-club

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
30
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
4
High
Priority fixes suggested
5
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

claw-club received a trust score of 30/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 10 findings: 0 critical, 4 high, 5 medium, and 1 low severity. Key findings include Sensitive environment variable access: $HOME, Command Injection via unquoted API response data in echo, Command Injection via unquoted API response data in jq output.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 38/100, 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
65%
Dependency Graph
100%
LLM Behavioral Safety
38%

Behavioral Risk Signals

Shell Execution
9 findings
Dynamic Code
4 findings
Excessive Permissions
5 findings

Security Findings10

SeverityFindingLayerLocation

Scan History

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