--- slug: "last30days-skill-cn" source_type: "skill_md" source_url: "https://cdn.jsdelivr.net/gh/jesseovo/last30days-skill-cn@main/SKILL.md" repo: "https://github.com/jesseovo/last30days-skill-cn" source_file: "SKILL.md" branch: "main" --- --- name: last30days-cn version: "3.2.0-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 --- # 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 "{{USER_TOPIC}}" --refresh --emit compact python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --no-cache --emit compact python {{SKILL_DIR}}/scripts/last30days.py --diagnose python {{SKILL_DIR}}/scripts/last30days.py --diagnose --emit json python {{SKILL_DIR}}/scripts/last30days.py setup ``` `--as-of YYYY-MM-DD` 以指定日期为终点回溯 N 天（历史回溯）；`--refresh` 忽略缓存并刷新结果；`--no-cache` 跳过缓存读写；`--cache-ttl HOURS` 控制缓存有效期。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」。 ## 输出契约 - Preserve the first engine badge line exactly, e.g. `🌐 last30days-cn v... · 数据截至 ...`; if it ends with `· 缓存`, mention that the evidence is cached. - Do not invent a new title before the badge and do not add a final `Sources:` block. Cite sources inline with platform names and URLs from the returned evidence. - Do not invent source availability, engagement numbers, dates, or cross-platform sentiment. If a source is unavailable or sparse, say that directly. - Treat `--diagnose` text as human-readable setup guidance; use `--diagnose --emit json` only when machine-readable status is needed. ## 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. ## 查询类型路由提示 - Breaking news, hot debates, or public sentiment: prioritize Weibo and Toutiao, with Baidu for cross-checking. - Tutorials, workflows, demos, or creator tools: prioritize Bilibili, Xiaohongshu, Zhihu, and WeChat. - Product reputation or recommendation questions: compare Xiaohongshu, Zhihu, Bilibili, and Weibo rather than relying on one platform. - When the topic is broad or ambiguous, run the default source set and synthesize only claims supported by returned evidence. ## Configuration Most sources can be tried with no configuration. Optional credentials improve stability: ```ini 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: ```text ~/.config/last30days-cn/.env ``` Optional crawler mode: ```bash python -m pip install playwright python -m playwright install chromium ``` For older macOS systems whose Playwright-managed browser cannot start, use a compatible system browser instead: ```bash export LAST30DAYS_BROWSER_PATH="/Applications/Chromium.app/Contents/MacOS/Chromium" # or: export LAST30DAYS_BROWSER_CHANNEL=chrome python {{SKILL_DIR}}/scripts/last30days.py --diagnose ``` Set `LAST30DAYS_DISABLE_BROWSER=1` to force browserless public API/search fallbacks. The `--diagnose` output reports the selected browser mode and path. First-time setup helper: ```bash python {{SKILL_DIR}}/scripts/last30days.py setup ``` ## Synthesis Guidance When presenting the final answer: 1. State the date range and the active sources. 2. Separate confirmed findings from weak or sparse signals. 3. Cite platform and URL for important claims. 4. Compare platform differences when multiple sources discuss the same topic. 5. Mention unavailable or failed sources if that affects confidence. 6. 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.