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Security Audit

WilsonLiu95/openclaw-skills:skills/openclaw-toolbox

github.com/WilsonLiu95/openclaw-skills
AI SkillCommit dacc554a65f5
10
CRITICAL
Scanned 12 days ago
9
Critical
Immediate action required
8
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

WilsonLiu95/openclaw-skills:skills/openclaw-toolbox received a trust score of 10/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 20 findings: 9 critical, 8 high, 3 medium, and 0 low severity. Key findings include Arbitrary command execution, File read + network send exfiltration, Sensitive environment variable access: $HOME.

The analysis covered 4 layers: dependency_graph, llm_behavioral_safety, manifest_analysis, static_code_analysis. The manifest_analysis layer scored lowest at 0/100, indicating areas for improvement.

Last analyzed on February 8, 2026 (commit dacc554a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
0%
Static Code Analysis
0%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Network Access
8 findings
Filesystem Write
15 findings
Shell Execution
13 findings
Dynamic Code
1 finding
Excessive Permissions
16 findings

Security Findings20

SeverityFindingLayerLocation

Scan History

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