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last30days-skill-cn

維護狀態: 活躍

jesseovo/last30days-skill-cn

last30days-cn 是一個 AI Agent 技能(Skill),能夠自動搜尋中國網際網路 8 大主流平臺最近 30 天的內容,綜合分析後生成有據可查的研究報告。

前往 GitHub
$ npx skills add Jesseovo/last30days-skill-cn -g

1,765

星數

185

Fork

Python

語言

NOASSERTION

授權條款

2026-03-31

建立於

2026-07-20

最近推送

README 宣告 MIT 授權的 Agent 技能,對 8 大中文平台執行 AI 網路搜尋並產出近 30 天有據可查的研究報告;可作為通用技能接入 DeepSeek Harness(代理需具備 Bash / Read / Write 工具)。

DSH 整合

相容

作者聲明

安全稽核

未稽核

最後核實

2026-08-21

授權條款

NOASSERTION

01它能幫你完成什麼?

  • Research what happened on China's 8 major internet platforms in the last 30 days for any topic

    A cited research report built from deduplicated, weighted-scored (45% relevance / 25% freshness / 30% engagement) results across Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu and Toutiao — emitted as compact / JSON / Markdown / context / offline HTML

    Researchers, analysts and content teams who need current, well-sourced insight into the Chinese internet straight from their AI agent

  • Turn multi-platform Chinese web search results into a browsable, archivable offline HTML research report

    An offline-openable `report.html` (Swiss/IKB visual language from guizang-ppt-skill) generated via `--emit html` / `--emit html-path`

    Users who want a printable, shareable research deliverable instead of terminal output

02如何將外掛接入 DeepSeek Harness?

先決條件

  • A Python runtime — the skill runs as a Python CLI (`scripts/last30days.py` / `skills/last30days/scripts/last30days.py`)
  • An AI agent exposing Bash / Read / Write tools — the README states any such agent can use this skill
  • Optional: Playwright (`pip install playwright` + `playwright install chromium`) to unlock key-free crawler mode on 7 of 8 platforms
  • Optional: `jieba` for enhanced Chinese tokenization (CJK bigram fallback runs without it)

安裝步驟

  1. 01

    Install via Agent Skills (recommended): `npx skills add Jesseovo/last30days-skill-cn -g`

    $ npx skills add Jesseovo/last30days-skill-cn -g

  2. 02

    Or clone the repo into your agent's skills directory, e.g. `git clone https://github.com/Jesseovo/last30days-skill-cn.git ~/.claude/skills/last30days-cn`

    $ git clone https://github.com/Jesseovo/last30days-skill-cn.git ~/.claude/skills/last30days-cn

  3. 03

    Optional (recommended): `python -m pip install playwright` then `python -m playwright install chromium` for crawler mode

  4. 04

    Optional: `python -m pip install jieba` for better Chinese tokenization

  5. 05

    Optional: create `~/.config/last30days-cn/.env` (chmod 600) and fill in optional API keys — only WeChat search requires `WECHAT_API_KEY`

驗證整合成功

  • Run `python scripts/last30days.py --diagnose` — it prints each platform's availability status and the crawler engine status as JSON

03DSH 整合程度與能力邊界

DSH 整合相容

Generic Agent Skill (SKILL.md + Python CLI) installable into any AI agent that exposes Bash / Read / Write tools — DeepSeek Harness included. The README does not document a dsh-specific integration; it documents Agent Skills / Claude Code / Cursor / OpenClaw installs plus a generic-agent mode, and the repo is tagged `dsh-plugin`.

  • 30-day cross-platform research on 8 Chinese platforms

    a natural-language topic plus optional flags (`--quick` / `--deep` / `--days N` / `--as-of` / `--search <platforms>`)deduplicated, weighted-scored results from Weibo, Xiaohongshu, Bilibili, Zhihu, Douyin, WeChat, Baidu and Toutiao rendered as compact / JSON / Markdown / context report

    performs live HTTP requests to the target platforms (and Bing site: search fallback)`--save-dir` writes raw outputs to disk; `--emit html` / `html-path` writes a `report.html` file
  • Three-tier data-acquisition fallback with optional Playwright crawler

    per-platform search requestsAPI mode → Playwright crawler mode → public endpoints → Bing site: search fallback, so 7 of 8 platforms work with zero API keys once Playwright is installed

    crawler mode drives a real Chromium browser via Playwright and simulates user browsingcrawler mode persists login cookies (login-state cache) between runs
  • Weighted result scoring

    raw multi-platform search resultsa 0–100 composite score per item: 45% relevance, 25% freshness, 30% platform engagement (likes / comments / shares / views etc.)

04適合誰?何時不該用?

適合

  • Researchers, analysts and content teams who need current, well-sourced insight into the Chinese internet straight from their AI agent
  • Users who want a printable, shareable research deliverable instead of terminal output

不適合

  • The project is declared for learning and research purposes only and explicitly forbids commercial use; users must comply with Chinese laws (Cybersecurity / Data Security / Personal Information Protection), platform ToS and robots.txt, and bear all legal risk of crawling.
  • Platform interfaces can change at any time and availability is not guaranteed; Douyin / Toutiao native web APIs require signed parameters (`a_bogus` / `_signature`) and are often risk-controlled, so their fallback only yields public links without real engagement data or exact dates.
  • Aggressive crawling risks platform bans; the README advises keeping request frequency reasonable (e.g. ≥ 5 seconds between searches).

05相容性、維護與安全提醒

  • The project is declared for learning and research purposes only and explicitly forbids commercial use; users must comply with Chinese laws (Cybersecurity / Data Security / Personal Information Protection), platform ToS and robots.txt, and bear all legal risk of crawling.
  • Platform interfaces can change at any time and availability is not guaranteed; Douyin / Toutiao native web APIs require signed parameters (`a_bogus` / `_signature`) and are often risk-controlled, so their fallback only yields public links without real engagement data or exact dates.
  • Aggressive crawling risks platform bans; the README advises keeping request frequency reasonable (e.g. ≥ 5 seconds between searches).
2026-03-312026-07-20v3.2.0

MIT per README (GitHub reports NOASSERTION) · actively maintained (latest release v3.2.0, 2026-07-20)

06常見問題

如何在 DeepSeek Harness 中使用 last30days-cn?

它是通用的 Agent 技能:README 寫明任何支援 Bash / Read / Write 工具的 AI Agent 都可使用。用 `npx skills add Jesseovo/last30days-skill-cn -g` 安裝,或把儲存庫複製到代理的技能目錄,接著讓代理執行 `python scripts/last30days.py "<主題>"` 即可。README 未提供針對 dsh 的專屬整合說明。

是原生整合還是透過 MCP?

兩者皆非——它是由 SKILL.md 驅動的 Python CLI 技能,不是 MCP 伺服器,也不是 dsh 原生執行環境。代理讀取 SKILL.md 後透過 Bash 工具呼叫命令列入口。

需要設定 API Key 嗎?

所有 API Key 都是選配。安裝 Playwright 後,7/8 的平台可透過爬蟲模式免 Key 使用;只有微信公眾號搜尋需要 `WECHAT_API_KEY`。`jieba` 也是選配,未安裝時會自動退回 CJK bigram 分詞。

會有哪些網路請求與副作用?

它會對 8 大中文平台發出即時 HTTP 請求(可選 Playwright 瀏覽器自動化,並持久化登入 Cookie),最後一級備援是 Bing site: 站內搜尋。README 建議每次搜尋間隔至少 5 秒以避免被平台封鎖,且本專案僅限非商業的學習研究用途。

如何驗證安裝成功?

執行 `python scripts/last30days.py --diagnose`,它會輸出各平台的可用狀態與爬蟲引擎狀態的 JSON 診斷結果。

08資料與來源

  • 作者聲明github.com1a8a04c3c347…

    ### 通用 Agent 任何支持 **Bash / Read / Write** 工具的 AI Agent 都可以使用本技能。

  • 作者聲明github.com1a8a04c3c347…

    **last30days-cn** 是一个 AI Agent 技能(Skill),能够自动搜索中国互联网 8 大主流平台最近 30 天的内容,综合分析后生成有据可查的研究报告。

此頁面根據專案公開文件、儲存庫中繼資料與 DSH Plugins 的結構化解析所產生;最後核實於 2026-08-21。發現錯誤?提交更正。

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最佳 DeepSeek Harness 外掛

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DSH Plugins 是獨立的 DeepSeek Harness 外掛市集,與 DeepSeek 官方無關,也不代表官方背書。第三方外掛未經安全稽核,安裝前請審查原始碼。

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