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Security Audit

memory-manager

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
13
CRITICAL
Scanned 3 months ago
0
Critical
Immediate action required
3
High
Priority fixes suggested
7
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

memory-manager received a trust score of 13/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 11 findings: 0 critical, 3 high, 7 medium, and 1 low severity. Key findings include Sensitive environment variable access: $HOME, Node lockfile missing, Path Traversal in categorize.sh.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 51/100, 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
51%
Dependency Graph
98%
LLM Behavioral Safety
55%

Behavioral Risk Signals

Filesystem Write
4 findings
Shell Execution
10 findings
Dynamic Code
2 findings
Excessive Permissions
7 findings

Security Findings11

SeverityFindingLayerLocation

Scan History

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