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Security Audit

pulumi-esc

github.com/pulumi/agent-skills
AI SkillCommit bbf441e6b135
82
TRUSTED
Scanned 6 days ago
0
Critical
Immediate action required
1
High
Priority fixes suggested
1
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

pulumi-esc received a trust score of 82/100, placing it in the Mostly Trusted category. This skill has passed most security checks with only minor considerations noted.

SkillShield's automated analysis identified 2 findings: 0 critical, 1 high, 1 medium, and 0 low severity. Key findings include Instruction to use `pulumi env open` risks secret exposure, Agent instructed to use API tool for sensitive environment data.

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 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
78%

Behavioral Risk Signals

Shell Execution
2 findings
Dynamic Code
1 finding
Excessive Permissions
1 finding

Security Findings2

SeverityFindingLayerLocation

Scan History

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