stock research due diligence agent

    1

    A structured due diligence framework for organizing company research, financial trends, and investment risks.

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    stock research due diligence agent

    Example session with this skill installed

    Research NVDA for a long-term horizon. I have the recent 10-K. I want to understand if the current valuation is supported by their cash flow and what the primary risks are.

    • Read your context and instructions
    • Compiled the stock research due

    I have analyzed the available data for NVIDIA (NVDA) focused on a long-term horizon, prioritizing cash generation and valuation risks.

    1. Decision Snapshot

    Current evidence supports a dominant competitive position in AI hardware and high revenue quality. However, valuation assumptions rely heavily on sustained triple-digit growth, creating a high sensitivity to market cyclicality.

    2. Inputs & Assumptions

    ItemValueStatus
    TickerNVDAVerified
    HorizonLong-term (5+ years)Verified
    Revenue Growth100%+ YoYSupported
    Gross Margin75%Supported
    AI Data Center ShiftStructuralHypothesis

    3. Analysis

    DimensionScore 0-5EvidenceWhy It Matters
    Business Model5CUDA ecosystem lock-inHigh switching costs for developers.
    Cash Generation5Strong Free Cash Flow conversionFunds R&D without debt reliance.
    Valuation2Forward P/E vs Historical MeanRequires perfect execution to justify.
    Competitive Pos.5GPU market share >80%Pricing power and margin protection.
    Material Risks2Supply chain concentrationSingle point of failure via TSMC.

    4. Key Risks / Gaps

    • Concentration Risk: Heavy reliance on a few cloud service providers for revenue.
    • Geopolitical Risk: Export restrictions affecting the China market segment.
    • Valuation Compression: A slowdown in AI infrastructure spending could lead to rapid multiple contraction.

    5. Recommended Next Move

    Primary Action: Perform a sensitivity analysis on Data Center revenue growth rates (20%, 40%, 60%) to find the "break-even" growth required for current valuation.

    6. Validation Plan

    QuestionEvidence NeededCheapest TestPass Signal
    Is AI demand peaking?Hyperscaler CapEx guidanceReview AWS/MSFT earningsSustained/Increased CapEx
    Competition impact?ASICs/Internal chip adoptionCloud provider blog postsLow adoption of internal chips

    7. What Would Change the Conclusion

    Evidence of a sustained decline in Gross Margins below 65% or a shift by major customers toward custom internal silicon would trigger a shift to a "Revise" or "Avoid" stance.

    Next steps

    • Input the specific price targets you are considering for the sensitivity analysis.
    • Provide the latest quarterly breakdown of China-based revenue for risk weighting.

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

    What you get

    Organize scattered financial data into a structured evidence ledger.Score company resilience across eight objective financial dimensions.Identify specific data gaps that could invalidate an investment thesis.Translate complex financial jargon into actionable business insights.

    About this skill

    The problem

    Retail investors often struggle to organize scattered financial data into a coherent investment thesis. Without a structured workflow, research tends to be a messy information dump that ignores critical risks and valuation gaps.

    What it does

    • Structures stock research into business quality, financial trends, and valuation inputs.
    • Builds an evidence ledger that separates verified facts from speculative hypotheses.
    • Scores eight material dimensions including balance-sheet resilience and cash generation.
    • Identifies the three highest-impact uncertainties and suggests specific tests to resolve them.
    • Produces a decision snapshot that highlights what the evidence actually supports.

    Why this beats prompting it yourself

    Generic prompts often lead to hallucinations or vague summaries of recent news. This skill enforces an evidence-aware framework that prevents the agent from inventing market data and forces it to explicitly track uncertainty across every dimension of the analysis.

    Use cases

    • Conducting initial due diligence on a new ticker symbol.
    • Organizing quarterly earnings data into a structured risk assessment.
    • Evaluating the business model and competitive position of a potential investment.
    • Identifying the specific evidence needed to validate a valuation assumption.

    Known limitations

    Does not provide personalized buy or sell instructions. Requires manual input of financial statements or external data tools to access real-time market figures.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Fresh listing

    Recently published to Agensi

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    Security scanned

    Verified clean 10 days ago

    • Passed all security checks, Safe to install

    Listed10 days ago

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