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Security Audit

browser-ladder

github.com/openclaw/skills
AI SkillCommit 13146e6a3d46
65
CAUTION
Scanned about 1 month ago
0
Critical
Immediate action required
2
High
Priority fixes suggested
1
Medium
Best practices review
1
Low
Acknowledged / Tracked

Trust Assessment

browser-ladder 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 4 findings: 0 critical, 2 high, 1 medium, and 1 low severity. Key findings include Unsanitized file paths in `mkdir` and `docker -v` lead to command injection, Use of unknown `playwright-cli-extra` package with `npx -y`, Browserless.io token exposed in URL query parameter.

The analysis covered 4 layers: Manifest Analysis, Static Code Analysis, Dependency Graph, LLM Behavioral Safety. The LLM Behavioral Safety layer scored lowest at 61/100, indicating areas for improvement.

Last analyzed on February 14, 2026 (commit 13146e6a). 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
61%

Behavioral Risk Signals

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

Security Findings4

SeverityFindingLayerLocation

Scan History

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