Skip to main content

Security Audit

note-article-publisher

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
60
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
3
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

note-article-publisher received a trust score of 60/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 4 findings: 0 critical, 3 high, 1 medium, and 0 low severity. Key findings include Missing required field: name, Potential Command Injection via CLI Arguments, Sensitive Credentials Handled; Risk of Leakage.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 55/100, indicating areas for improvement.

Last analyzed on February 12, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
55%

Behavioral Risk Signals

Network Access
1 finding
Shell Execution
1 finding
Dynamic Code
1 finding
Excessive Permissions
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

Embed Code

[![SkillShield](https://skillshield.io/api/v1/badge/0911e73119e389fa.svg)](https://skillshield.io/report/0911e73119e389fa)
SkillShield Badge

Powered by SkillShield