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Security Audit

fda-database

github.com/davila7/claude-code-templates
AI SkillCommit 458b11867eae
69
CAUTION
Scanned 11 days ago
0
Critical
Immediate action required
0
High
Priority fixes suggested
4
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

fda-database received a trust score of 69/100, 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, 0 high, 4 medium, and 1 low severity. Key findings include Unsafe deserialization / dynamic eval, Suspicious import: requests, Network egress to untrusted endpoints.

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 11, 2026 (commit 458b1186). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
77%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
100%

Behavioral Risk Signals

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

Security Findings5

SeverityFindingLayerLocation

Scan History

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