amap-lbs-skill: 适用于openclaw平台的高德地图综合服务,支持POI搜索、路径规划、旅游规划、周边搜索和热力图数据可视化

by AMap-Web · Codex Skill · ★ 95

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Security audit verdict: SAFE · quality 65/100

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. Full audit →

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.

Quick Facts

Stars95
Forks14
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Open Issues5
Last Updated2026-04-14
Created2026-03-11
Platformsnode
Est. Tokens~3k

About amap-lbs-skill

高德地图综合服务 Skill 高德地图综合服务向开发者提供完整的地图数据服务,包括地点搜索、路径规划、旅游规划和数据可视化等功能。 功能特性 ✅ 自动管理高德 Web Service Key ✅ POI 搜索功能 ✅ 路径规划(步行、驾车、骑行、公交) ✅ 智能旅游规划助手 ✅ 地图可视化链接生成 ✅ 热力图数据可视化 ✅ 支持命令行脚本执行 ✅ 配置本地持久化 安装依赖 配置 API Key 首次使用需要配置高德 Web Service Key: 获取 API Key:访问 高德开放平台 创建应用并获取 Key 使用方法 POI 搜索 路径规划

Compatible Skills

These tools work well together with amap-lbs-skill for enhanced workflows:

  • boss-daily-brief — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • extract-getnote-articles — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • codex-collab — semantic(0.37)+complementary+similar_pop+shared_platform (53%)

amap-lbs-skill alternative? Top 1 similar tools

Looking for a amap-lbs-skill alternative? If you're comparing amap-lbs-skill with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • theorist by blader · ⭐ 191

    A Codex/Claude skill that maintains per-repo operating theory documents.

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How this security grade is produced

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:

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