JRJ A-Share News and Research Search
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Please follow https://skillhub.cn/install/skillhub.md and install @user_eb96790c/jrj-fin-search-skill.
About this skill
Problem
When answering questions about A-share stocks, industries, or policy, models may cite stale rumors, non-authoritative media, or missing research context. This skill connects JRJ news and broker research summaries to the workflow, so an AI can retrieve verifiable sources before forming an answer.
How It Works
- News search: filter by
--keywords,--start,--source, and--limitacross sources such as Cailianshe, Jin10 Data, and Securities Times. - Research summary search: retrieve core views, earnings forecasts, and ratings by summary keywords and publication date.
- Structured output: returns JSON by default and can switch to Markdown for prompt pipelines or reports.
Boundaries
It is intended for information retrieval, event verification, industry review, and analysis support, not investment advice. If the response includes truncated: true, narrow the date range or adjust --limit; API Key, quota, and parameter errors can affect calls, so keep disclaimers and make independent judgments.
Use Cases
- Track A-share company announcements, operational updates, and earnings releases, then summarize authoritative news as supporting evidence.
- Search industry news and research summaries by keywords such as new energy, semiconductors, or healthcare to judge trends and sector sentiment.
- Verify sudden regulatory policies, macro data, or market rumors by quickly retrieving reports from official and authoritative media.
- Batch-retrieve market headlines and key research views by date to prepare daily or weekly review notes.
Best For
- Prompt engineers who need to connect AI answers about A-share questions to authoritative news and research sources.
- Research analysts who track company announcements, earnings, and operational updates and need to summarize sources quickly.
- Industry researchers who use sector keywords to analyze trends, policy implications, and business-cycle sentiment.
- Investment assistants who need to organize financial news and research summaries into review notes.
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