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Security Audit

pulumi-arm-to-pulumi

github.com/pulumi/agent-skills
AI SkillCommit bbf441e6b135
65
CAUTION
Scanned 6 days ago
0
Critical
Immediate action required
3
High
Priority fixes suggested
0
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

pulumi-arm-to-pulumi 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 3 findings: 0 critical, 3 high, 0 medium, and 0 low severity. Key findings include Potential Command Injection via Unsanitized User Input in `pulumi env run`, Potential Command Injection via Unsanitized User Input in Azure CLI Commands, Potential Command Injection via Unsanitized User Input in `pulumi config set`.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 55/100, indicating areas for improvement.

Last analyzed on April 1, 2026 (commit bbf441e6). 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
55%

Behavioral Risk Signals

Shell Execution
3 findings
Dynamic Code
3 findings
Excessive Permissions
2 findings

Security Findings3

SeverityFindingLayerLocation

Scan History

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