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Security Audit

clawvox

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
37
CRITICAL
Scanned 3 months ago
12
Critical
Immediate action required
2
High
Priority fixes suggested
4
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

clawvox received a trust score of 37/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 18 findings: 12 critical, 2 high, 4 medium, and 0 low severity. Key findings include Sensitive environment variable access: $HOME, Command Injection via `curl -F` arguments, Command Injection in `validate_number` via `bc -l`.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 0/100, indicating areas for improvement.

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
72%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
13 findings
Filesystem Write
8 findings
Shell Execution
16 findings
Dynamic Code
14 findings
Excessive Permissions
4 findings

Security Findings18

SeverityFindingLayerLocation

Scan History

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