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Security Audit

vercel-optimize

github.com/vercel-labs/agent-skills
AI SkillCommit 180115660cfb
28
CRITICAL
Scanned 4 days ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

vercel-optimize received a trust score of 28/100, placing it in the Untrusted category. This skill has significant security findings that require attention before use in production.

SkillShield's automated analysis identified 5 findings: 1 critical, 2 high, 2 medium, and 0 low severity. Key findings include Prompt Injection Attempt (Security Instruction), Command Injection via `process.chdir` with untrusted argument, Command Injection / Path Traversal via `rootDir` from untrusted argument.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The Static Code Analysis layer scored lowest at 56/100, indicating areas for improvement.

Last analyzed on June 1, 2026 (commit 18011566). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
100%
Static Code Analysis
56%
Dependency Graph
100%
LLM Behavioral Safety
70%

Behavioral Risk Signals

Filesystem Write
4 findings
Shell Execution
4 findings
Dynamic Code
5 findings
Excessive Permissions
3 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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