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Security Audit

score-eval

github.com/neondatabase/agent-skills
AI SkillCommit 38c7da85db65
66
CAUTION
Scanned about 1 month ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

score-eval received a trust score of 66/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Potential for arbitrary file read via user-controlled path.

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 May 1, 2026 (commit 38c7da85). 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
85%

Behavioral Risk Signals

Filesystem Write
1 finding
Excessive Permissions
1 finding

Security Findings1

SeverityFindingLayerLocation

Scan History

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