News scanner

Skill Haochenhust/ch-skills/skills/news-scanner

Open-source skills — shareable & installable

Install

npx -y skills add Haochenhust/ch-skills --skill news-scanner

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

8 stars8 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

This skill should be used during daily research scanning, or when the user asks '最近有什么新消息', '扫描一下XX的最新动态', '帮我看看雪球上在聊什么'. Scans Xueqiu, Eastmoney, 10jqka, and web search for investment-related news filtered by the industry-chain keywords you track. Outputs HIGH/MEDIUM findings only — signal, not noise.

SKILL.md

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News Scanner

Systematic news and sentiment scanning for the industry chains you track.

When to Use

Daily research passes (a few times per day)
When researching a new industry chain
When a catalyst event just happened and you need the market reaction

Workflow

Step 1: Load Keywords

Build a keyword list from the industry chains and key stocks you currently track (e.g. from your research-state / watchlist notes).

Step 2: Multi-Source Scan

For each tracked industry chain, search across platforms:

1. WebSearch: "{keyword} 研报 一致预期"          (analyst reports first)
2. WebSearch: "{keyword} site:xueqiu.com 2026"
3. WebSearch: "{keyword} site:eastmoney.com 2026"
4. WebSearch: "{keyword} 最新消息 {today's date}"
5. WebSearch: "{stock name} 研报 最新"

Step 3: Filter & Prioritize

Rate each finding:

HIGH: Directly affects your thesis or triggers a buy/sell signal
MEDIUM: Relevant background, updates your understanding
LOW: Noise, already known, or not actionable

Only report HIGH and MEDIUM findings.

Step 4: Output

For routine scans with nothing major: update your research log, don't message the user.

For significant findings:

## 信息扫描 — {date} {time}

### 重要发现
- [{HIGH/MEDIUM}] {source}: {summary} — 影响：{how it affects the thesis}

### 研究状态更新
- {track name}: 置信度 {unchanged/+5%/-5%} — 原因：{finding}

Platforms & Keywords

Default Search Targets

雪球 (xueqiu.com) — retail sentiment, hot discussions
东方财富 (eastmoney.com) — news, research reports
同花顺 (10jqka.com.cn) — sector analysis
券商研报 / 一致预期 — via general WebSearch
General web — for broader news coverage

Keyword Construction

From your tracked chains/stocks, build searches like:

Industry: "{细分材料}", "{细分器件}"
Companies: "{公司名A}", "{公司名B}"
Events: "{行业大会} 2026", "{龙头公司}"
Themes: "{产业链主题}"

Rules

Don't repeat known information — check your notes before reporting
Cite sources — every finding must have a URL or source name
Signal, not noise — the user wants actionable intel, not a news digest
Update your research log — every scan should at minimum leave a trace