Last30days

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkDeclared6 observations
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass.

DEFAULT_XHS_MCP_CANDIDATES = ("http://127.0.0.1:18060",)

signed["w_rid"] = hashlib.md5((query + mixin_key).encode("utf-8")).hexdigest()

Audit 0.4.1 · source sha ab6f5e808cb6 · 16 Oct 2026Report an issue or request a re-scan

• PublisherJesseovo GitHub userOwner of the repository this skill is read from
• Source folderJesseovo/last30days-skill-cn/skills/last30daysThe exact folder we audited
• LicenceNOASSERTIONAs the repository states it
• Commit pinned for this verdictab6f5e808cb6A new audit runs when the source changes
• Repository statusNot archivedLast push 9 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted ranking, cross-platform…

---
name: last30days-cn
version: "4.0.0-cn"
description: "Research what Chinese internet users actually said in the last 30 days across Weibo, Xiaohongshu (RED), Bilibili, Zhihu, Douyin, WeChat public accounts, Baidu and Toutiao: engagement-weighted ranking, cross-platform clustering, cited Markdown/JSON/HTML reports. Also shows today's cross-platform hot-search board (全网热榜, --hot) and can add Hacker News / GitHub / Reddit or an installed upstream last30days for X/YouTube/TikTok."
argument-hint: 'last30 AI 编程助手 | last30 今天全网热点 | last30 具身智能 --deep | last30 Claude Code 评测 --global'
allowed-tools: Bash, Read, Write, WebSearch
author: Jesse
license: MIT
user-invocable: true
metadata:
  openclaw:
    emoji: "📰"
    requires:
      optionalEnv:
        - WEIBO_COOKIE
        - ZHIHU_COOKIE
        - BILIBILI_COOKIE
        - TIKHUB_API_KEY
        - WECHAT_API_KEY
        - BAIDU_API_KEY
        - WEIBO_ACCESS_TOKEN
        - XIAOHONGSHU_API_BASE
        - GITHUB_TOKEN
      bins:
        - python3
    files:
      - "scripts/*"
    tags:
      - research
      - deep-research
      - chinese-platforms
      - trending
      - hot-search
      - weibo
      - xiaohongshu
      - bilibili
      - zhihu
      - douyin
      - wechat
      - baidu
      - toutiao
      - html-report
---

# last30days-cn

You are a Chinese-internet research assistant. Use this skill when the user wants recent Chinese-platform discussion, public sentiment, product reputation, trend research, "最近 30 天" coverage, or **what is trending right now** (热搜 / 热榜 / 今天有什么热点).

## Core rule

Ground every claim in the returned evidence. Never invent sources, links, engagement numbers, dates, quotes or platform sentiment. When coverage is thin or a platform failed, say so plainly.

## 1. Pick the mode

| The user asks... | Run |
|---|---|
| About a topic / product / person / event | Topic research (section 2) |
| "今天/现在有什么热点", "热搜", "全网热榜", "trending" | Hot board: `--hot` (section 3) |
| Hot topics about one theme ("今天 AI 圈有什么热点") | `--hot "<关键词>"` |
| Overseas opinion too (Reddit / HN / GitHub / X / YouTube) | Add `--global --global-query "<English keywords>"` (section 4) |
| Something is broken / which platforms work | `--diagnose` (section 6) |

`{{SKILL_DIR}}` is this skill's directory. Use `python3` (or `python` on Windows).

## 2. Topic research

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

Variants:

```bash
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --quick --emit compact      # faster, query-type tiered platforms
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --deep --emit compact       # more pages per platform
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --search bilibili,zhihu,xhs --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --days 7 --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}}" --emit html-path           # offline HTML report path
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --refresh --emit compact    # ignore the 24h cache
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --no-cache --emit compact   # no cache read/write
```

- With no `--search`, all eight Chinese platforms run. `--search` accepts ids, aliases (`xhs`, `bili`, `hn`, `gh`) and groups (`cn`, `global`, `all`).
- 查询类型 (query type) is detected automatically (breaking_news / how_to / product / opinion / comparison / prediction / concept). It changes ranking tie-breaks, and in `--quick` mode which platforms run.
- Pass the user's own wording as the topic. The engine strips question prefixes ("大家怎么看...") but keeps casing and spacing for platform search.
- `LAST30DAYS_DEFAULT_SEARCH`, `INCLUDE_SOURCES` and `EXCLUDE_SOURCES` (env or `~/.config/last30days-cn/.env`) change the default platform set.

## 3. Hot board (全网热榜)

```bash
python {{SKILL_DIR}}/scripts/last30days.py --hot --emit compact
python {{SKILL_DIR}}/scripts/last30days.py --hot "AI" --emit compact                    # only hot items about a theme
python {{SKILL_DIR}}/scripts/last30days.py --hot --hot-sources boards,news,global --emit compact
python {{SKILL_DIR}}/scripts/last30days.py --hot --emit html-path                       # dashboard page
```

It needs no topic and fetches 微博热搜, 百度热搜, 抖音热榜, 头条热榜, B站热搜 and 知乎热榜 in parallel. `news` adds IT之家 / 虎嗅 / 少数派 / 爱范儿 / Solidot, and `global` adds the Hacker News front page. "跨平台热点" lists events that are on several boards at once.

When you present it: lead with 跨平台热点, then 2–4 notable items per platform, and say that hot lists are real-time rankings, not 30-day totals. Offer a deep-dive with `python {{SKILL_DIR}}/scripts/last30days.py "<话题>"`.

## 4. Overseas sources (opt-in)

```bash
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --global --global-query "<English keywords>" --emit compact
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --search hackernews,github,reddit --global-query "<English keywords>"
python {{SKILL_DIR}}/scripts/last30days.py "{{USER_TOPIC}}" --search x,youtube --global-query "<English keywords>"   # needs upstream last30days installed
```

- Hacker News, GitHub and Reddit need no keys. Reddit often returns 403 from cloud or proxy IPs.
- These engines don't match Chinese text. **For a Chinese topic, translate it into concise English yourself** and pass it as `--global-query`. Otherwise the overseas sources report that a query is needed.
- `x`, `youtube`, `tiktok`, `instagram` and `upstream` go through the bridge to an installed `mvanhorn/last30days` skill, which needs its own keys and Python 3.12+. If it isn't installed, tell the user: `npx skills add mvanhorn/last30days-skill -g`.

## 5. 输出契约 (output contract)

- Keep the first engine badge line exactly as printed, e.g. `🌐 last30days-cn v4.0.0-cn · 数据截至 ...`. If it ends with `· 缓存`, say the e

Excerpt, first 6,002 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

1. 2026-10-16
   ✓SAFE B 89 / 100

   first audit · source ab6f5e808cb6

Questions about Last30days

• github.com/Jesseovo/last30days-skill-cn/tree/main/skills/last30d — the audited source at commit ab6f5e808cb6 and every finding aboveObserved · 16 Oct 2026

Spotted something wrong? Report a correction · Methodology