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 JourniOne-ai · Agent Tool · ★ 772
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is JourniOne-Planning-Skills safe to install? View the security audit →
JourniOne · Travel Journal Creator English · 简体中文 · 日本語 · Español · 한국어 · Français · العربية Turn the places you dream of into a trip you can actually take. Website · Installation · Examples · FAQ Start with a travel idea. JourniOne helps you plan each day, find hotels that fit your route and budget, and bring everything together in a beautiful Travel Journal—an interactive travel guide you can explore and share like a flipbook. Spend less time piecing together advice, learn more about your destination, and make your travel budget go further. From an idea to a plan you can follow Tell JourniOne where you want to go, what you enjoy, and who is coming—or share an existing itinerary, photos, and notes. It plans daily routes around your interests and pace, checks key places and transport, and makes room for sightseeing, meals, travel, and rest. Once you confirm
| Stars | 772 |
| Forks | 123 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 57.207730554586/100 |
| Last Updated | 2026-10-11 |
| Created | 2026-09-16 |
| Platforms | node |
| Est. Tokens | ~14k |
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JourniOne-Planning-Skills is JourniOne 旅行规划 Skill：从灵感与逐日路线，到带地图、可分享的 Travel Journal，按需衔接酒店与航班。. It is categorized as a Agent Tool with 772 GitHub stars.
JourniOne-Planning-Skills is primarily written in JavaScript. It covers topics such as agent-skills, ai-agent, itinerary.
You can find installation instructions and usage details in the JourniOne-Planning-Skills GitHub repository at github.com/JourniOne-ai/JourniOne-Planning-Skills. The project has 772 stars and 123 forks, indicating an active community.
The top alternatives to JourniOne-Planning-Skills on Agent Skills Hub include comfyui-mcp, mcp-google-map, skillport. 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: