last30days-cn

# last30days-cn 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: ```bash python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --emit compact ``` Useful variants: ```bash 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 "{{USER_TOPIC}}" --as-of 2026-05-01 --emit compact python {{SKILL_DIR}}/scripts/last30days.py --diagnose ``` `--as-of YYYY-MM-DD` 以指定日期为终点回溯 N 天（历史回溯）；未指定 `--search` 时回退到环境变量 `LAST30DAYS_DEFAULT_SEARCH`，`EXCLUDE_SOURCES` 可排除指定源。输出中若多个平台讨论同一事件，会先给出「跨平台聚合热点」。 ## 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`. - `js...