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Security Audit

api-design-principles

github.com/sickn33/antigravity-awesome-skills
AI SkillCommit e36d6fd3b3f6
42
CRITICAL
Scanned about 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

api-design-principles received a trust score of 42/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 3 findings: 0 critical, 1 high, 2 medium, and 0 low severity. Key findings include Unsafe deserialization / dynamic eval, Insecure default for TrustedHostMiddleware, Insecure default for CORSMiddleware.

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 20, 2026 (commit e36d6fd3). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
85%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
86%

Behavioral Risk Signals

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

Security Findings3

SeverityFindingLayerLocation

Scan History

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