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Security Audit

Lint Hunter

github.com/udapy/rust-agentic-skills
AI SkillCommit 78ae406e26df
85
TRUSTED
Scanned 8 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

Lint Hunter received a trust score of 85/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 1 finding: 0 critical, 1 high, 0 medium, and 0 low severity. Key findings include Command Injection via unsanitized script argument.

The analysis covered 4 layers: manifest_analysis, llm_behavioral_safety, static_code_analysis, dependency_graph. All layers scored 70 or above, reflecting consistent security practices.

Last analyzed on February 12, 2026 (commit 78ae406e). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

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

Behavioral Risk Signals

Shell Execution
1 finding
Dynamic Code
1 finding

Security Findings1

SeverityFindingLayerLocation

Scan History

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