by shouzhuoshouzhuo · Agent Tool · ★ 79
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 79 |
| Forks | 17 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 57/100 |
| Last Updated | 2026-09-26 |
| Created | 2026-05-21 |
| Platforms | python |
| Est. Tokens | ~16k |
✈️ AI 旅游规划助手 一句话描述需求,自动生成带时刻表的多日旅游计划 📖 简介 AI 旅游规划助手是一个基于 LangGraph 多 Agent 流水线 的旅游行程生成工具。只需输入一句话的出行需求(目的地、日期、偏好),系统即可自动完成: 🔍 意图识别(快速失败) — 从自然语言抽取目的地、日期、偏好;支持"明天开始3日游"等相对时间 + 天数表达式;缺目的地/日期时立即返回,不触发后续 LLM 调用 🌤️ 天气感知 — 自动拉取出行日期天气预报,雨雪天优先安排室内景点,超出预报范围时降级提示 🗺️ 景点搜索 — 调用高德地图 API 获取真实景点候选池,按评分过滤 🧭 智能规划 — Planner/Reviewer 多轮循环优化,共享对话记忆确保紧急问题优先修复 🍜 餐饮推荐 — 基于每天动线搜索周边餐厅,按天并行调用 LLM 推荐午晚餐 🗺️ 地图可视化 —...
These tools work well together with FloatTrip for enhanced workflows:
Looking for a FloatTrip alternative? If you're comparing FloatTrip with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI tool for automating Upwork job applications using AI agents to find and qualify jobs, write personalized co
Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
An introduction to the world of AI Agents
Code from tutorials presented on the "Code AI with Rok" YouTube channel
🤖 AI-powered code generation tool for scratch development of web applications with a team collaboration of au
NL2SQL - Ask questions in plain English, get SQL queries and results. Powered by LangGraph.
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: