china-briefing-资讯简报

v1.0.0

多尺度中文资讯简报生成。从一条街道到全球,任意地理范围均可生成。 从主流媒体(Reuters/BBC/新华社)、街道公众号、社交平台(微博/小红书/抖音) 获取资讯,结构化输出。 使用场景:用户要求"简报"、"资讯"、"早报"、"晚报"、"周报"、"XX简报"、 "XX资讯"、"本地新闻"、"国际新闻"、"街道新...

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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 shine8592/china-briefing.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "china-briefing-资讯简报" (shine8592/china-briefing) from ClawHub.
Skill page: https://clawhub.ai/shine8592/china-briefing
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

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openclaw skills install china-briefing

ClawHub CLI

Package manager switcher

npx clawhub@latest install china-briefing
Security Scan
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description match the implementation: SKILL.md and scripts/briefing_helper.py only implement scale detection and search/query templates and call the platform web_search/web_fetch tools. No unrelated environment variables, binaries, or external services are requested.
Instruction Scope
Runtime instructions limit behavior to selecting sources, constructing search queries, fetching pages via OpenClaw web_search/web_fetch, filtering and annotating results. The instructions do not direct reading of local files, arbitrary env vars, or transmitting data to unexpected external endpoints.
Install Mechanism
This is instruction‑only with a small helper script included; there is no install spec, no downloads from third‑party URLs, and no extracted archives. The helper script is self‑contained Python using only standard library.
Credentials
No environment variables, credentials, or config paths are required. The claimed external dependency (OpenClaw web_search + web_fetch) is appropriate for a web‑based news aggregator; README explicitly states no API keys are required.
Persistence & Privilege
always:false (default) and no requests to modify other skills or agent config. The skill can be invoked autonomously (platform default) which is expected for skills of this type and is not combined with other concerning privileges.
Assessment
This skill appears coherent and safe from an internal‑consistency perspective, but consider the following before installing: (1) It scrapes public web and social sources via web_search/web_fetch — confirm that your environment's fetch tools obey site terms, rate limits, and robot policies. (2) No credentials are requested, but some sources (WeChat/Weibo) may return limited results without logins; expect degraded coverage rather than secret exfiltration. (3) If you plan to brief very small communities or include personally identifiable information (PII), be mindful of privacy implications and local regulations. (4) Review source selection rules in references/source-library.md if you want to restrict or prioritize certain media (for political balance or compliance). (5) Run a few non‑sensitive queries to validate outputs and make sure the agent records and cites sources as required by the SKILL.md.

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

briefingvk97cgtrzbnzfkta0et7tb8d551847rnjchinavk97cgtrzbnzfkta0et7tb8d551847rnjlatestvk97cgtrzbnzfkta0et7tb8d551847rnjmediavk97cgtrzbnzfkta0et7tb8d551847rnjnewsvk97cgtrzbnzfkta0et7tb8d551847rnjnewslettervk97cgtrzbnzfkta0et7tb8d551847rnj
85downloads
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1versions
Updated 3w ago
v1.0.0
MIT-0

China Briefing — 多尺度中文资讯简报

核心能力

任意尺度,一处生成:

  • 全球 → 区域(亚太/欧洲/中东) → 国家 → 省 → 市 → 区 → 街道→ 社区
  • 每层自动选择匹配的搜索源

简报结构(固定,不省略)

### 🌍 核心结论
[1-2句总结本期最重要的信号/趋势/结论]

### 📌 {日期} {地点} 速报
**头条1 + 头条2 + 头条3**(最多3个,每个含嘟嘟点评)

### 📊 分类热点
[2-4个主题分类,每类2-4条]

### 📈 数据看板
[可选:关键数据表格]

### 🎯 行动建议
[优先级表格:高/中/低]

搜索源库(按尺度选源)

全球尺度(≥5种来源)

媒体定位获取方式
Reuters事实最快web_search
BBC中文国际视角web_search
CNN突发新闻web_search
Al Jazeera中东独特web_search
NYT中文深度分析web_fetch
FT中文经济深度web_fetch
日经中文亚洲经济web_fetch
DW德国之声欧洲+中东web_search

全国尺度

媒体获取方式
新华社web_search
央视新闻web_search
环球时报web_search
观察者网web_search
澎湃新闻web_search

省市尺度

来源搜索策略
本地官媒"{省/市} 2026 最新动态"
市政府网"{省/市} 政府 新闻"
省/市人大"{省/市} 人大 会议"
省级日报"{省}日报 最新"

区县街道尺度(核心差异化)

来源搜索策略
政府官网"{区/街道名} 2026 最新"
政务公众号"{区/街道名} 公众号 民生"
人大/政务"{区} 人大 两会 实事"
本地社区"{区/街道} 社区 改造 电梯"
本地媒体"{市} 新闻 {区}"
本地生活"{街道} 公园 学校 医院"

社交平台

平台搜索策略
微博热搜"{关键词} 微博热搜"
小红书"{关键词} 小红书"
抖音"{关键词} 抖音"
Twitter/X"{关键词} site:twitter.com"
Reddit"{关键词} site:reddit.com"

使用流程

用户说 "国际简报"

  1. 用全球尺度源:Reuters + BBC + CNN + 半岛 + NYT + 新浪国际
  2. 搜索词:"international news latest" + "国际新闻 最新"
  3. 输出 5-8 来源,标注出处

用户说 "江川路街道简报"

  1. 用区县街道尺度源
  2. 搜索词:"江川路街道 2026 民生" + "江川路街道 实事" + "闵行区 江川路 新闻"
  3. 输出 3-5 来源,标注出处

用户说 "上海简报"

  1. 省市尺度源
  2. 搜索词:"上海 2026 最新动态" + "上海 经济 民生 政策"
  3. 输出 4-6 来源

用户说 "AI行业简报"

  1. 行业垂直源 + 社区
  2. 搜索词:"AI news latest 2026" + "AI 大模型 最新"
  3. 来源:行业媒体 + 社区 + 研报

评论公式

每条头条必须写"嘟嘟点评",遵守:

❌ 只是描述:"XX报道了XXX"
✅ 加背景:"XX做XXX,结合之前的YYY,说明ZZZ"
✅ 给观点:"这意味着...我看好/担心..."
✅ 连点:"这和上个月的XX配对,说明趋势在..."
✅ 对读者:"对我们来说,意味着..."

信息筛选

问题不通过 →
读者会分享给朋友?去掉
有实质内容还是标题党?去掉
来源可靠?换来源
和读者相关?标注为什么
能加独特观点?

来源多样性规则

尺度最少来源数必须包含
全球5+Reuters + 1家中国官媒 + 1家社区
全国4+至少2家不同立场
省市3+官方 + 本地
区县/街道2+政府官网 + 至少1个来源
行业3+行业媒体 + 社区

每条信息必须标注来源。

字数控制

  • 核心结论:50-100字
  • 每条头条:150-300字(含点评)
  • 分类热点:每条30-80字
  • 总篇幅:800-2500字

References

  • 搜索模板 → references/search-templates.md
  • 来源库 → references/source-library.md

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