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 harris21 · Agent Tool · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ship-ai-with-laravel safe to install? View the security audit →
About Laravel Laravel is a web application framework with expressive, elegant syntax. We believe development must be an enjoyable and creative experience to be truly fulfilling. Laravel takes the pain out of development by easing common tasks used in many web projects, such as: Simple, fast routing engine. Powerful dependency injection container. Multiple back-ends for session and cache storage. Expressive, intuitive [database ORM](https://laravel.com/docs/eloquent
| Stars | 80 |
| Forks | 15 |
| Language | PHP |
| Category | Agent Tool |
| Quality Score | 64.9790483497412/100 |
| Last Updated | 2026-07-08 |
| Created | 2026-03-23 |
| Est. Tokens | ~15k |
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ship-ai-with-laravel is Build a production-ready AI-powered customer support platform with Laravel's official AI SDK. An 11-episode video series covering agents, tools, embeddings, RAG, streaming, and security.. It is categorized as a Agent Tool with 80 GitHub stars.
ship-ai-with-laravel is primarily written in PHP. It covers topics such as ai, laravel, laravel-ai-sdk.
You can find installation instructions and usage details in the ship-ai-with-laravel GitHub repository at github.com/harris21/ship-ai-with-laravel. The project has 80 stars and 15 forks, indicating an active community.
The top alternatives to ship-ai-with-laravel on Agent Skills Hub include laravel-mcp-server, vizra-adk, atlas. 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: