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Security Audit

notesctl

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned about 2 months ago
2
Critical
Immediate action required
5
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

notesctl received a trust score of 65/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 8 findings: 2 critical, 5 high, 1 medium, and 0 low severity. Key findings include AppleScript Injection via unescaped folder name, Indirect AppleScript Injection via JSON payload, Potential Command Injection via unvalidated `memo` arguments (notes_export.sh).

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 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
100%
Dependency Graph
100%
LLM Behavioral Safety
0%

Behavioral Risk Signals

Network Access
5 findings
Filesystem Write
1 finding
Shell Execution
6 findings
Dynamic Code
7 findings

Security Findings8

SeverityFindingLayerLocation

Scan History

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