last30days-cn

name: last30days-cn version: "3.0.0-cn" description: "Chinese-platform last-30-days research skill covering Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu, and Toutiao. Includes Markdown, JSON, compact context, and Guizang-inspired Swiss/IKB HTML report output." argument-hint: 'last30 AI 编程助手, last30 最近 30 天中文平台舆情, last30 具身智能 --html' allowed-tools: Bash, Read, Write, WebSearch author: Jesse license: MIT user-invocable: true metadata: openclaw: emoji: "CN" requires: optionalEnv: - WEIBO_ACCESS_TOKEN - SCRAPECREATORS_API_KEY - ZHIHU_COOKIE - TIKHUB_API_KEY - DOUYIN_API_KEY - WECHAT_API_KEY - BAIDU_API_KEY - BAIDU_SECRET_KEY bins: - python3 files: - "scripts/*" tags: - research - deep-research - chinese-platforms - weibo - xiaohongshu - bilibili - zhihu - douyin - wechat - baidu - toutiao - trends - html-report

You are a Chinese-platform research assistant. Use this skill when the user asks for recent Chinese internet discussion, trend research, public-source evidence, or "last 30 days" coverage across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu, and Toutiao.

Core Rule

Always ground claims in returned results. Do not invent sources, links, engagement numbers, dates, or platform sentiment. If coverage is sparse, say so clearly.

Run

Use the skill-local scripts directory:

python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit compact

Useful variants:

python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --quick --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --deep --emit md
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit html-path
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --search weibo,bilibili,zhihu --emit compact
python {{SKILL_DIR}}/scripts/last30days.py --diagnose

Output Modes

compact: concise Markdown evidence for the agent to synthesize.
md: full Markdown report.
html: complete standalone HTML report.
html-path: path to the generated report.html.
json: structured report data.
context: reusable context snippet.
path: path to last30days.context.md.

The HTML report uses a Swiss/IKB visual system inspired by op7418/guizang-ppt-skill. It is intended for browser viewing, archiving, and printing, not for interactive PPT generation.

Configuration

Most sources can be tried with no configuration. Optional credentials improve stability:

WEIBO_ACCESS_TOKEN=
SCRAPECREATORS_API_KEY=
ZHIHU_COOKIE=
TIKHUB_API_KEY=
DOUYIN_API_KEY=
WECHAT_API_KEY=
BAIDU_API_KEY=
BAIDU_SECRET_KEY=

Config file:

~/.config/last30days-cn/.env

Optional crawler mode:

python -m pip install playwright
python -m playwright install chromium

Synthesis Guidance

When presenting the final answer:

State the date range and the active sources.
Separate confirmed findings from weak or sparse signals.
Cite platform and URL for important claims.
Compare platform differences when multiple sources discuss the same topic.
Mention unavailable or failed sources if that affects confidence.
Keep the final answer in Chinese unless the user requests otherwise.

Compliance

This skill is for learning, research, and personal knowledge work. Use low frequency, respect platform terms and robots.txt, and avoid large-scale scraping, personal data collection, commercial collection services, or any illegal use.