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Security Audit

dont-hack-me

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
5
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

dont-hack-me received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 7 findings: 0 critical, 2 high, 5 medium, and 0 low severity. Key findings include Skill instructs shell command execution for file permissions, Skill instructs shell command execution for service restart, Skill instructs shell command execution for token generation.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 35/100, 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
100%
Dependency Graph
100%
LLM Behavioral Safety
35%

Behavioral Risk Signals

Filesystem Write
5 findings
Shell Execution
5 findings
Dynamic Code
5 findings
Excessive Permissions
4 findings

Security Findings7

SeverityFindingLayerLocation

Scan History

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