agentsclimarketplace

News scanner

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

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.From its SKILL.md

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.

2 things to look at

  • 9 stars9 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.
  • runs commandsInstructs the agent to run 5 commands, including `WebSearch: "{keyword} 研报 一致预期"` and 4 more.

SKILL.md

2.7 KB, 639 tokens by cl100k_base, as published. Nobody here has run it

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

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

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.