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Security Audit

gitlab-ci-patterns

github.com/sickn33/antigravity-awesome-skills
AI SkillCommit e36d6fd3b3f6
68
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
3
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

gitlab-ci-patterns received a trust score of 68/100, placing it in the Caution category. This skill has some security considerations that users should review before deployment.

SkillShield's automated analysis identified 4 findings: 0 critical, 1 high, 3 medium, and 0 low severity. Key findings include Unpinned Docker image tag in CI/CD example, Insecure TLS verification enabled in Kubernetes configuration.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 64/100, indicating areas for improvement.

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
100%
Static Code Analysis
100%
Dependency Graph
100%
LLM Behavioral Safety
64%

Behavioral Risk Signals

Excessive Permissions
1 finding

Security Findings4

SeverityFindingLayerLocation

Scan History

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