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 ai-dashboad · MCP Server · ★ 362
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flutter-skill safe to install? View the security audit →
flutter-skill Give any AI agent eyes and hands inside any running app. 10 platforms. Zero test code. One MCP server. Demo • Quick Start • AI Platforms • Platforms • vs Others • Docs 🚀
| Stars | 362 |
| Forks | 54 |
| Language | Dart |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.9759504483989/100 |
| Open Issues | 7 |
| Last Updated | 2026-09-01 |
| Created | 2026-01-29 |
| Platforms | browser, claude-code, mcp |
| Est. Tokens | ~20k |
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flutter-skill is AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all . It is categorized as a MCP Server with 362 GitHub stars.
flutter-skill is primarily written in Dart. It covers topics such as ai, ai-testing, android.
You can find installation instructions and usage details in the flutter-skill GitHub repository at github.com/ai-dashboad/flutter-skill. The project has 362 stars and 54 forks, indicating an active community.
flutter-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flutter-skill on Agent Skills Hub include native-devtools-mcp, camofox-mcp, atlassian-mcp-server. 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: