No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by browser-use · MCP Server · ★ 821
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vibetest-use safe to install? View the security audit →
Vibetest Use Automated QA testing using Browser-Use agents. https://github.com/user-attachments/assets/9558d051-78bc-45fd-8694-9ac80eaf9494 An MCP server that launches multiple Browser-Use agents to test a vibe-coded website for UI bugs, broken links, accessibility issues, and other technical problems. Perfect for testing both live websites and localhost development sites. Vibecode and vibetest until your website works. Quick Start 1) Claude Code 2) Cursor (manually) Install via MCP Settings UI: Open Cursor Settings Click on "MCP" in the left sidebar Click "Add Server" or the "+" button Manually edit config: Basic Prompts Parameters You Can Specify URL: Any website (
| Stars | 821 |
| Forks | 82 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 69.9115499936331/100 |
| Open Issues | 2 |
| Last Updated | 2025-09-02 |
| Created | 2025-05-29 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~2k |
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vibetest-use is Vibetest MCP - automated QA testing using Browser-Use agents. It is categorized as a MCP Server with 821 GitHub stars.
vibetest-use is primarily written in Python. It covers topics such as agents, browser, claude.
You can find installation instructions and usage details in the vibetest-use GitHub repository at github.com/browser-use/vibetest-use. The project has 821 stars and 82 forks, indicating an active community.
The top alternatives to vibetest-use on Agent Skills Hub include dbhub, mcp-server-qdrant, mcp-searxng. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: