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 shaheennabi · Agent Tool · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Production-Ready-TripPlanner-Multi-AI-Agents-Project safe to install? View the security audit →
🌺 🌿 🌱 Production-Ready TripPlanner Multi-AI Agents Project 🍃 🌸 🪴 Discussions box is open, you can ask anything & i will accept any pull request feel free to contribute (you can later use this project in your resume etc..) Problem Statement Note: This project simulates an industry-standard scenario where I am assuming the role of a developer at XYZ Company. The client required a system to provide users with accurate, detailed, and instant information about travel destinations. This system was to be embedded into their platform for seamless user experience, ensuring that users could fetch trip details in one go with pinpoint accuracy. High-Level Note: Some related topics, such as AI agents, their pipelines, different types of agents, and RAG (Retrieval-Augmented Generation) systems in general, have already been discussed. You can find these details in the folder for further exploration. 🌟 Building a Modular AI System for Destination Insights 🌟 At XYZ Company, we were tasked with creating a robust system for a client that could fetch and deliver comprehensive trip details in a single query.
| Stars | 79 |
| Forks | 17 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 57.5408642140651/100 |
| Last Updated | 2025-03-04 |
| Created | 2024-11-17 |
| Est. Tokens | ~19k |
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Production-Ready-TripPlanner-Multi-AI-Agents-Project is ✈️🌍 Production-Ready TripPlanner Multi-AI Agent Project: Transform your travel planning with AI-driven assistance! From discovering dream destinations, creating custom itineraries, exploring avenues . It is categorized as a Agent Tool with 79 GitHub stars.
Production-Ready-TripPlanner-Multi-AI-Agents-Project is primarily written in Jupyter Notebook. It covers topics such as agentic-workflow, automated-flight-search, generative-ai.
You can find installation instructions and usage details in the Production-Ready-TripPlanner-Multi-AI-Agents-Project GitHub repository at github.com/shaheennabi/Production-Ready-TripPlanner-Multi-AI-Agents-Project. The project has 79 stars and 17 forks, indicating an active community.
Production-Ready-TripPlanner-Multi-AI-Agents-Project is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Production-Ready-TripPlanner-Multi-AI-Agents-Project on Agent Skills Hub include oreilly-ai-agents, repopack-py, ai-microcore. 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: