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Security Audit

vercel-labs/agent-browser:skills/agent-browser

github.com/vercel-labs/agent-browser
AI SkillCommit aba2353112ea
43
CRITICAL
Scanned 24 days ago
1
Critical
Immediate action required
2
High
Priority fixes suggested
2
Medium
Best practices review
0
Low
Acknowledged / Tracked

Trust Assessment

vercel-labs/agent-browser:skills/agent-browser received a trust score of 43/100, 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 Hidden network beacons / undisclosed telemetry, Sensitive environment variable access: $USER, Potential Command Injection in Bash Templates.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 48/100, indicating areas for improvement.

Last analyzed on March 6, 2026 (commit aba23531). SkillShield performs automated 4-layer security analysis on AI skills and MCP servers.

Layer Breakdown

Manifest Analysis
85%
Static Code Analysis
93%
Dependency Graph
100%
LLM Behavioral Safety
48%

Behavioral Risk Signals

Network Access
2 findings
Filesystem Write
2 findings
Shell Execution
4 findings
Dynamic Code
1 finding
Excessive Permissions
2 findings

Security Findings5

SeverityFindingLayerLocation

Scan History

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