news-scanner
Skill9 starsChanged 4 months agoMITView on GitHub
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.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- rgourley/quant-garagetheir own version, first seen Nov 1, 2026
- forgequant/sentineltheir own version, first seen Feb 27, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- rgourley/quant-garage★ 7same name
- forgequant/sentinel★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- catalyst-trackerSkill
- company-analyzerSkill
- financial-data-fetcherSkill
- industry-chain-mapperSkill
- industry-chain-researchSkill
- intrinsic-value-analysisSkill
- marxist-method-for-actionSkill
- meta-promptSkill
- stock-analyzerSkill
- stock-market-dataSkill
- technical-analyzerSkill
- tushare-dataSkill
- valuation-calculatorSkill
- wechat-feedsSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
When researching a new industry chain
- Distinctive: line 15
When a catalyst event just happened and you need the market reaction
- Distinctive: line 42
Only report HIGH and MEDIUM findings.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

