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Security Audit

postiz

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
64
CAUTION
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
3
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

postiz received a trust score of 64/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 5 findings: 0 critical, 1 high, 3 medium, and 1 low severity. Key findings include Suspicious import: requests, Arbitrary Local File Upload Leading to Data Exfiltration, Excessive File System Access for Media Upload.

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 14, 2026 (commit 13146e6a). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
86%
Dependency Graph
100%
LLM Behavioral Safety
76%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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