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Security Audit

self-improvement

github.com/jdrhyne/agent-skills
AI SkillCommit 0676c56a8ab1
73
CAUTION
Scanned about 2 months ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

self-improvement received a trust score of 73/100, 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: 0 critical, 2 high, 0 medium, and 0 low severity. Key findings include Command Injection via Hook Configuration, Supply Chain Risk: Uninspected Executable Scripts.

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 0676c56a). 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
70%

Behavioral Risk Signals

Shell Execution
2 findings
Dynamic Code
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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