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Security Audit

vector-memory

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

Trust Assessment

vector-memory 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 15 findings: 10 critical, 1 high, 2 medium, and 2 low severity. Key findings include Arbitrary command execution, Unsafe deserialization / dynamic eval, 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 0/100, 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
0%
Static Code Analysis
63%
Dependency Graph
91%
LLM Behavioral Safety
8%

Behavioral Risk Signals

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

Security Findings15

SeverityFindingLayerLocation

Scan History

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