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Security Audit

skill-scanner-guard

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
10
CRITICAL
Scanned about 2 months ago
5
Critical
Immediate action required
6
High
Priority fixes suggested
7
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

skill-scanner-guard 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 18 findings: 5 critical, 6 high, 7 medium, and 0 low severity. Key findings include Persistence / self-modification instructions, Sensitive environment variable access: $HOME, Persistence mechanism: systemd service.

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 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
6%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
13 findings
Dynamic Code
2 findings
Excessive Permissions
9 findings

Security Findings18

SeverityFindingLayerLocation

Scan History

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