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Security Audit

memoclaw

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
50
CAUTION
Scanned 2 months ago
1
Critical
Immediate action required
3
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

memoclaw received a trust score of 50/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 1 critical, 3 high, 1 medium, and 0 low severity. Key findings include Dangerous tool allowed: exec, Command Injection via 'exec' with untrusted input, Exposure of sensitive private key via environment variable.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 33/100, 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
85%
Dependency Graph
100%
LLM Behavioral Safety
33%

Behavioral Risk Signals

Shell Execution
4 findings
Dynamic Code
3 findings
Excessive Permissions
3 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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