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Security Audit

bonero-miner

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned 2 months ago
5
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

bonero-miner 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 8 findings: 5 critical, 1 high, 1 medium, and 1 low severity. Key findings include Network egress to untrusted endpoints, Arbitrary command execution, Remote code execution: curl/wget pipe to shell.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Manifest Analysis layer scored lowest at 10/100, 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
10%
Static Code Analysis
70%
Dependency Graph
100%
LLM Behavioral Safety
46%

Behavioral Risk Signals

Network Access
7 findings
Shell Execution
3 findings
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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