Chill Beijing

v1.4.0

北京下班及周末放松推荐助手 v1.4.0。工作日推荐电影、脱口秀、演出;周末推荐City Walk、京郊游、社交活动、演出。实时抓取猫眼/大麦/美团/小红书数据。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for caoyachao/chill-beijing.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Chill Beijing" (caoyachao/chill-beijing) from ClawHub.
Skill page: https://clawhub.ai/caoyachao/chill-beijing
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install chill-beijing

ClawHub CLI

Package manager switcher

npx clawhub@latest install chill-beijing
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The name/description (Beijing leisure recommendations) align with included code: data-fetcher scrapes 猫眼/大麦/美团/小红书 and wttr.in for weather, and generate-recommendations formats suggestions. Declared dependency on puppeteer is expected for the described browser scraping.
Instruction Scope
SKILL.md instructs running the generate-recommendations script and documents use of Puppeteer and 60s timeouts — that matches the code. The instructions do not ask for unrelated files/credentials or to exfiltrate data. Minor mismatch: SKILL.md references a scripts/formatters.mjs file which is not present in the file manifest; also many recommendation texts in generate-recommendations.mjs are static content rather than purely derived from live scrapes (not a security issue but an implementation note).
Install Mechanism
There is no install spec in the registry (instruction-only), but package.json lists puppeteer, which will cause npm to fetch large Chromium artifacts when dependencies are installed. No suspicious third-party download URLs are present in the repo files, but running npm install will trigger remote downloads (normal for puppeteer).
Credentials
The skill requests no environment variables, no credentials, and accesses only public websites (wttr.in and the listed Chinese event sites). There is no evidence of secret exfiltration or access to unrelated services or config paths.
Persistence & Privilege
Flags show always:false and default autonomous invocation allowed (normal). The package does not request permanent presence, does not modify other skills, and does not require special agent-level privileges.
Assessment
This package appears coherent with its stated purpose, but before installing you should: (1) verify the source/origin because the registry metadata lacks a homepage; (2) audit and pin dependencies (puppeteer ^22.0.0) and run npm install in an isolated environment — puppeteer will download a Chromium binary and headless browsers open network access and can be large; (3) note the SKILL.md mentions scripts/formatters.mjs which is missing — ask the author or check the full source to ensure nothing was omitted; (4) run the skill in a sandbox/container (or non-root) because the code launches Chromium with --no-sandbox (common but reduces sandbox protections); (5) if you need to run on a shared system, consider network restrictions or a proxy to limit where the headless browser can connect. If any of these points are unacceptable or the author/source can't be verified, treat the package cautiously.

Like a lobster shell, security has layers — review code before you run it.

beijingvk978ngtc2t9vtfhgm23n237745844ws8entertainmentvk978ngtc2t9vtfhgm23n237745844ws8latestvk978ngtc2t9vtfhgm23n237745844ws8puppeteervk978ngtc2t9vtfhgm23n237745844ws8recommendationsvk978ngtc2t9vtfhgm23n237745844ws8scrapingvk978ngtc2t9vtfhgm23n237745844ws8weekendvk978ngtc2t9vtfhgm23n237745844ws8
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1versions
Updated 3w ago
v1.4.0
MIT-0

Chill Beijing - 北京放松指南

北京打工人下班及周末去哪儿?实时抓取猫眼、大麦、美团、小红书最新数据,智能推荐。

Features

  • 实时数据抓取 - 猫眼、大麦、美团、小红书最新数据
  • 智能分类 - 工作日/周末不同推荐策略
  • 耐心等待 - 设置足够超时,确保数据完整抓取
  • 最新日期 - 始终使用当日数据,拒绝历史/模拟数据

Quick Start

# 获取今日推荐(自动判断工作日/周末)
node ~/.openclaw/skills/chill-beijing/scripts/generate-recommendations.mjs

# 强制获取工作日推荐
node ~/.openclaw/skills/chill-beijing/scripts/generate-recommendations.mjs --workday

# 强制获取周末推荐
node ~/.openclaw/skills/chill-beijing/scripts/generate-recommendations.mjs --weekend

# JSON 格式输出
node ~/.openclaw/skills/chill-beijing/scripts/generate-recommendations.mjs --json

推荐分类

工作日(周一-周四)

分类数据源内容
🎬 电影猫眼/美团当日热映、评分、场次
🎤 脱口秀大麦/美团开放麦、专场演出
🎵 演出大麦LiveHouse、音乐会、民谣酒馆

周五(工作日+周末预告)

输出工作日3类 + 周末4类完整推荐

周末(周六-周日)

分类数据源内容
🚶 City Walk小红书北京 city walk 路线推荐
🏔️ 京郊/周边游小红书/美团可过夜景点、民宿
👥 社交活动局小红书桌游、剧本杀、社交聚会
🎭 演出类大麦/猫眼话剧、演唱会、展览

Data Sources

数据源抓取内容超时设置
猫眼电影当日上映电影、评分、场次60秒
大麦网北京站演出列表60秒
美团演出脱口秀、LiveHouse60秒
小红书City Walk、京郊游、社交局60秒

技术特性

  • 防反爬:使用 Puppeteer 模拟真实浏览器
  • 超时耐心:单源 60 秒超时,失败自动重试
  • 当日数据:所有抓取带日期参数,确保最新
  • 容错降级:主源失败时使用备用源

API Usage

import { generateRecommendations, getTodayRecommendations } from './scripts/generate-recommendations.mjs';

// 获取今日推荐(自动判断工作日/周末)
const recs = await generateRecommendations();

// 获取结构化数据
const data = await getTodayRecommendations({ format: 'json' });

Files

  • scripts/data-fetcher.mjs - 数据抓取模块(猫眼/大麦/美团/小红书)
  • scripts/generate-recommendations.mjs - 推荐生成主程序
  • scripts/formatters.mjs - 数据格式化工具

Changelog

v1.0.0 (2026-03-27)

  • 🎉 初始版本
  • ✨ 工作日推荐:电影、脱口秀、演出
  • ✨ 周末推荐:City Walk、京郊游、社交局、演出
  • ✨ 多源数据抓取(猫眼/大麦/美团/小红书)
  • ✨ 智能工作日/周末判断

License

MIT

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