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Security Audit

Yuan1z0825/nature-skills:skills/nature-polishing

github.com/Yuan1z0825/nature-skills
AI SkillCommit c9b874a675e2
73
CAUTION
Scanned 5 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

Yuan1z0825/nature-skills:skills/nature-polishing received a trust score of 73/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Arbitrary File Read via Path Traversal in Manifest Parsing, Arbitrary Command Execution via Automatic LaTeX Compilation.

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 June 2, 2026 (commit c9b874a6). 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
78%

Behavioral Risk Signals

Network Access
1 finding
Filesystem Write
2 findings
Shell Execution
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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