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Security Audit

garrettjsmith/localseoskills:skills/client-deliverables

github.com/garrettjsmith/localseoskills
AI SkillCommit 0d3fc1050517
65
CAUTION
Scanned 5 days ago
2
Critical
Immediate action required
0
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

garrettjsmith/localseoskills:skills/client-deliverables received a trust score of 65/100, 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: 2 critical, 0 high, 0 medium, and 0 low severity. Key findings include Untrusted content attempts to instruct LLM on tool usage, Untrusted content attempts to define LLM persona and goals.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 40/100, indicating areas for improvement.

Last analyzed on March 26, 2026 (commit 0d3fc105). 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
40%

Behavioral Risk Signals

Filesystem Write
2 findings
Dynamic Code
2 findings

Security Findings2

SeverityFindingLayerLocation

Scan History

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