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Security Audit

memory-mastery

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
54
CAUTION
Scanned 3 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
5
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

memory-mastery received a trust score of 54/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 6 findings: 0 critical, 1 high, 5 medium, and 0 low severity. Key findings include Missing required field: name, Sensitive environment variable access: $HOME, Potential Credential Harvesting/Data Exfiltration in Maintenance Script.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. All layers scored 70 or above, reflecting consistent security practices.

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
72%
Dependency Graph
100%
LLM Behavioral Safety
78%

Behavioral Risk Signals

Filesystem Write
1 finding
Shell Execution
4 findings
Excessive Permissions
4 findings

Security Findings6

SeverityFindingLayerLocation

Scan History

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