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    AShareTrace

    1

    Understand the evidence, sources, risks, and missing data behind a China A-share question without trading instructions.

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    AShareTrace

    AShareTrace

    Example session with this skill installed

    Research 603266.SH on SSE.

    Data cut-off: 2026-08-02 15:00 Asia/Shanghai.

    I want to understand the company performance, valuation assumptions, announcement impact, major risks, source freshness, and missing data.

    Please explain in plain language for an ordinary user. Keep the answer research_only. Do not provide an order or buy/sell instruction.

    • Read your context and instructions
    • Compiled the asharetrace

    Research status: evidence_review_required

    Instrument: 603266.SH
    Exchange: SSE
    Data cut-off: 2026-08-02 15:00 Asia/Shanghai

    Summary
    AShareTrace organized the available evidence into a plain-language research note. The report separates verified facts, assumptions, risks, source freshness, conflicting information, and missing data.

    What was checked
    • Company performance information
    • Valuation assumptions
    • Recent announcements
    • Market information
    • Major risks
    • Source dates and freshness
    • Missing or conflicting evidence

    Key result
    Some information can be summarized, but any outdated, missing, or conflicting evidence is marked as insufficient_data. The report does not convert missing data into zero, does not pretend uncertainty is certainty, and does not provide buy or sell instructions.

    Next verification steps
    • Check the latest official exchange announcement
    • Confirm the most recent financial report
    • Compare multiple independent data sources
    • Review whether any key assumptions have changed after the data cut-off time

    Connects securely to your tools. The creator never sees your data.

    About this skill

    AShareTrace is an evidence-first China A-share research skill designed for ordinary AI users who want to understand A-share information without learning complex financial terminology first.

    Users only need to provide the stock code, exchange, data cut-off time, and the questions they want to investigate, such as company performance, valuation assumptions, announcements, market information, major risks, and missing data.

    AShareTrace organizes scattered information into a clear research note. It helps users understand:

    • Which facts have been found and checked
    • Where the information came from
    • Whether the data is fresh enough
    • Whether different sources conflict with each other
    • What the company situation, valuation assumptions, and major risks are
    • Which important questions still lack evidence
    • What should be verified next instead of pretending the answer is already known

    When important data is missing, outdated, or conflicting, AShareTrace clearly marks it as insufficient_data. It does not turn missing values into zero, does not hide uncertainty, and does not package research results as buy, sell, or return promises.

    Buyers can use it for personal A-share research, learning, information checking, source tracking, and maintaining dated research notes. When the project CLI is available, it can also help create JSON records and standalone HTML research reports.

    Important: AShareTrace is research-only. It does not connect to brokers, place orders, simulate orders, move funds, request account passwords, guarantee returns, or replace a licensed investment adviser.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Finance & Accounting.

    AShareTrace only supports China A-share research and should be used for research_only purposes. It requires clear stock codes, exchange information, data cut-off time, and user questions. If important evidence is missing, outdated, unreliable, or conflicting, the skill may return insufficient_data instead of producing a forced conclusion.

    It does not provide buy or sell instructions, guaranteed returns, broker integration, order execution, fund transfers, or licensed investment advice. Private data-provider tokens must be configured locally and must never be shared in public chats, issues, or repositories.

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    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Security scan passed 3 months ago

    Permissions

    Read Files
    Write Files
    Network Access
    Environment Variables
    Terminal / Shell

    File Scopes

    ashare-trace/**
    *.md
    *.json
    *.html

    AShareTrace needs read/write access to create local research notes, JSON records, and optional standalone HTML reports. Network access is used only when the user asks the agent to verify public sources or project documentation. Environment variables may be used for private data-provider tokens configured locally by the user. The skill does not request account passwords, connect to brokers, place orders, simulate orders, or move funds.

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    AShareTrace is an evidence-first research tool that solves the problem of unreliable or hallucinated financial data. It identifies conflicts between sources, tracks the origin of facts, and clearly marks missing data as 'insufficient_data' instead of guessing.

    No, this skill is strictly for research and data verification. It cannot connect to brokerage accounts, place trades, or provide financial advice; its purpose is to help you build a verified foundation for your own analysis.

    AShareTrace is compatible with major AI agents and LLMs that support tool-calling or custom skills. Once integrated, you simply provide a stock code, exchange, and your specific research question to generate a structured report.

    Each purchase includes the core research skill, access to the project CLI for technical users, and the ability to generate both structured JSON records and standalone HTML research reports for your records.

    While the skill can process real-time questions, its accuracy depends on the 'data cut-off time' you provide. It is designed to verify the freshness of data and will warn you if the information found is outdated compared to your requested timeframe.

    Unlike traditional tools that require a finance degree, AShareTrace is designed for 'ordinary' users. It translates complex market noise into clear research notes that focus on evidence and risks rather than dense technical jargon.

    New in Finance & Accounting