MIT-declared Agent Skill that runs AI web search across 8 Chinese platforms and produces cited 30-day research reports; plugs into DeepSeek Harness as a generic skill for any agent with Bash / Read / Write tools.
DSH integration
Compatible
Author-claimed
Safety audit
Unaudited
Last verified
2026-08-21
License
NOASSERTION
01What can it help you accomplish?
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
02How to install into DeepSeek Harness
Prerequisites
- 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)
Installation steps
- 01
Install via Agent Skills (recommended): `npx skills add Jesseovo/last30days-skill-cn -g`
$ npx skills add Jesseovo/last30days-skill-cn -g
- 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
- 03
Optional (recommended): `python -m pip install playwright` then `python -m playwright install chromium` for crawler mode
- 04
Optional: `python -m pip install jieba` for better Chinese tokenization
- 05
Optional: create `~/.config/last30days-cn/.env` (chmod 600) and fill in optional API keys — only WeChat search requires `WECHAT_API_KEY`
Verify the integration
- Run `python scripts/last30days.py --diagnose` — it prints each platform's availability status and the crawler engine status as JSON
03DSH integration and capability boundaries
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` fileThree-tier data-acquisition fallback with optional Playwright crawler
per-platform search requests→API 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 runsWeighted result scoring
raw multi-platform search results→a 0–100 composite score per item: 45% relevance, 25% freshness, 30% platform engagement (likes / comments / shares / views etc.)
04Who is it for? When not to use it?
Good for
- 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
Not for
- 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).
05Compatibility, maintenance and safety notes
- 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).
MIT per README (GitHub reports NOASSERTION) · actively maintained (latest release v3.2.0, 2026-07-20)
06Frequently asked questions
How do I use last30days-cn with DeepSeek Harness?
It's a generic Agent Skill: the README says any AI agent with Bash / Read / Write tools can use it. Install with `npx skills add Jesseovo/last30days-skill-cn -g` or clone the repo into your agent's skills directory, then let the agent run `python scripts/last30days.py "<topic>"`. The README does not document a dsh-specific integration.
Is the integration native or via MCP?
Neither — it is a SKILL.md-driven Python CLI skill, not an MCP server and not a native dsh runtime. The agent reads SKILL.md and executes the CLI through its Bash tool.
Do I need API keys?
All API keys are optional. With Playwright installed, 7 of 8 platforms work without keys via crawler mode; only WeChat article search requires a `WECHAT_API_KEY`. `jieba` is also optional — a CJK bigram fallback tokenizer runs without it.
What network access and side effects should I expect?
It performs live HTTP requests (plus optional Playwright browser automation with persisted login cookies) against the 8 Chinese platforms, with Bing site: search as the last-resort fallback. The README recommends spacing searches at least 5 seconds apart to avoid platform bans, and the project is restricted to non-commercial research use.
How do I verify the installation works?
Run `python scripts/last30days.py --diagnose` — it prints a JSON report of each platform's availability and the crawler engine status.
07Related DSH workflows
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08Data and sources
### 通用 Agent 任何支持 **Bash / Read / Write** 工具的 AI Agent 都可以使用本技能。
**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。
This page is generated from the project’s public documentation, repository metadata and a structured parse of DSH Plugins; last verified on 2026-08-21. Found an error? Submit a correction.
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