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 geekjourneyx · MCP Server · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is travel-guidebook safe to install? View the security audit →
Travel Guidebook 从调研到成书的一站式旅行路书引擎 这是什么 一个 AI Agent Skill，输入一句话行程需求，输出一本精美的旅行路书 PDF。 不是模板填充，不是信息堆砌——而是一本有文学温度的旅行指南： 羊皮纸底色、衬线体标题、内联 SVG 装饰、功能色信息系统、每日手记区。 核心特性 工作流程 安装 前置依赖 安装 Skill 高德地图 MCP（可选，推荐） 配置后可获取实时 POI 数据、步行路线、公交方案。 jsonc // /.copilot/mcp-config.json { "mcpServers": { "amap-maps": { "command": "npx", "args": ["-y", "@amap/amap-maps-mcp-server"], "env": {
| Stars | 93 |
| Forks | 8 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.9883826577294/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-19 |
| Created | 2026-04-18 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~14k |
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travel-guidebook is AI agent skill that generates beautifully typeset travel guidebook PDFs — from research to print, powered by parallel agents and Amap MCP.. It is categorized as a MCP Server with 93 GitHub stars.
travel-guidebook is primarily written in JavaScript. It covers topics such as agent-skills, ai-agents, claude-skills.
You can find installation instructions and usage details in the travel-guidebook GitHub repository at github.com/geekjourneyx/travel-guidebook. The project has 93 stars and 8 forks, indicating an active community.
travel-guidebook is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to travel-guidebook on Agent Skills Hub include claudepro-directory, tutor-skills, agent-designer. 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: