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Stock Eval

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yennanliu
stock-eval

Evaluate US stocks with comprehensive fundamental and valuation analysis

Overview

Publisheryennanliu
RepositoryInvestSkill
Skill namestock-eval
Stars
254
Forks
61
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by yennanliu on GitHub. Read the source before you install it.

Installation

Install the Stock Eval AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/stock-eval
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yennanliu/InvestSkill.git /tmp/InvestSkill
mkdir -p .claude/skills
cp -r /tmp/InvestSkill/plugins/us-stock-analysis/skills/stock-eval .claude/skills/stock-eval
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Stock Eval in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Stock Eval on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Stock Eval is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

US Stock Evaluation

⚠️ Data Verification — Do This Before Any Analysis

Before running any analysis, always retrieve the latest market data for the ticker:

  1. Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
  2. Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
  3. State your data source — fill in the Data & Sources header (next section) so the origin, as-of date, retrieval path, and confidence of every figure are explicit at the top of the output.
  4. Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:

⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.

Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.


📋 Data & Sources Header — Open Every Output With It

The first thing in the output is this provenance block, filled in — never left as placeholders. It is the standard documented on the Data & Accuracy page and the first thing result-validator looks for:

Data & Sources
  As of:      <date the figures represent, e.g. 2026-06-30>
  Source:     <primary docs — SEC EDGAR 10-K/10-Q, company IR, FRED, exchange data …>
  Retrieval:  <pasted by user | web/tool retrieval | model memory>
  Confidence: <HIGH | MEDIUM | LOW>
  • Retrieval: model memory must be paired with Confidence: LOW — memory is a placeholder until confirmed against a primary source.
  • Mixed sources: list each with its own as-of date rather than blending them.
  • Sources disagree on the same figure (a closing price, a deal term): prefer the primary source (SEC filing, company release, exchange data) over an aggregator, then the most recent dated one. Show both values with their sources and dates, say which you used and why, and never average them.
  • Data the user pasted is reported as pasted by user; do not upgrade its confidence beyond what the user's own source supports.

Perform comprehensive stock evaluation combining fundamental analysis, valuation modeling, quality scoring, and risk assessment to produce investment-grade conclusions.

Analysis Components

1. Company Overview

  • Business model and competitive advantages (moat assessment)
  • Market position, addressable market size, and industry trends
  • Revenue mix by segment and geographic exposure
  • Key products, services, and customer concentration
  • Competitive dynamics and threat of disruption

2. Financial Health

  • Revenue and earnings growth trends (3-year and 5-year CAGR)
  • Profit margins: gross margin, operating margin, net margin
  • Margin trends: expanding, stable, or compressing
  • Balance sheet strength: cash, total debt, net debt, book value
  • Liquidity: current ratio, quick ratio, cash conversion cycle
  • Cash flow analysis: operating cash flow, free cash flow, FCF yield
  • Capital expenditure requirements (maintenance vs. growth capex)
  • Working capital management efficiency

3. Valuation Metrics

MetricCurrent1-Year Ago5-Year AvgSector Avg
P/E (TTM)
P/E (Forward)
PEG Ratio
Price/Book
Price/Sales
EV/EBITDA
EV/FCF
Dividend Yield
Payout Ratio

4. Key Ratios

RatioCurrentIndustry AvgAssessment
Return on Equity (ROE)
Return on Assets (ROA)
Return on Inv. Capital
Gross Margin
Operating Margin
Net Margin
Current Ratio
Quick Ratio
Debt-to-Equity
Interest Coverage
Asset Turnover

5. Peer Comparison

  • Direct peer comparison within industry on key valuation multiples
  • Historical valuation trends vs. own 5-year history
  • Sector performance context and relative positioning
  • Market share trends vs. competitors

Deep Financial Statement Analysis

This section provides line-item rigor absorbed from dedicated fundamental analysis workflows. Use when a deeper statement-level breakdown is required.

Income Statement Line-Item Framework

Revenue Analysis

  • Break revenue into organic growth vs. acquisition-driven growth vs. FX tailwind/headwind
  • Identify top revenue segments by size and growth rate; flag any segment growing faster or slower than the consolidated total
  • Assess revenue quality: recurring subscription/contract revenue vs. transactional/one-time revenue
  • Operating leverage test: does revenue growth outpace operating expense growth? Calculate incremental operating margin = ΔOperating Income / ΔRevenue

Cost Structure Decomposition

  • COGS breakdown: raw materials, labor, overhead — track each as % of revenue over 5 years
  • SG&A as % of revenue: stable or creeping? Rising SG&A without revenue acceleration signals inefficiency
  • R&D intensity: absolute spend and % of revenue — context-dependent (biotech vs. consumer goods)
  • Non-recurring items to strip from normalized earnings: restructuring charges, asset write-downs, gain/loss on asset sales, one-time tax benefits, litigation settlements

Operating Leverage Analysis

  • Fixed vs. variable cost split (estimate from historical margin behavior at different revenue levels)
  • Degree of Operating Leverage (DOL) = % Change in Operating Income / % Change in Revenue
  • High DOL (>3x) amplifies both upside and downside from revenue swings
YearRevenue ($M)Revenue Growth %EBIT ($M)EBIT Growth %DOL
Y-4
Y-3
Y-2
Y-1
TTM

Working Capital Cycle Analysis

Working capital efficiency directly affects how much cash a business consumes or generates as it grows.

Key Working Capital Metrics

MetricFormulaCurrentY-1Y-2Trend
Days Sales Outstanding (DSO)Accounts Receivable / (Revenue / 365)
Days Inventory Outstanding (DIO)Inventory / (COGS / 365)
Days Payable Outstanding (DPO)Accounts Payable / (COGS / 365)
Cash Conversion Cycle (CCC)DSO + DIO − DPO
Net Working Capital ($M)Current Assets − Current Liabilities
NWC as % of RevenueNWC / Revenue

Cash Conversion Cycle Interpretation

  • CCC declining: Company is collecting faster, holding less inventory, and/or extending payables — favorable working capital dynamics, cash generation improves as revenue grows
  • CCC rising: Working capital is consuming more cash as the business scales — a hidden drag on FCF growth
  • Negative CCC (e.g., large retailers, subscription businesses): Customers pay before the company pays suppliers — a structural cash flow advantage

Working Capital as a Growth Funding Check

  • Incremental NWC per $1 of new revenue = ΔNWC / ΔRevenue
  • If this ratio exceeds ~15%, rapid revenue growth can strain liquidity even in a profitable business

DuPont Decomposition

DuPont analysis decomposes ROE into its constituent drivers to identify whether profitability, efficiency, or leverage is the primary return engine — and whether returns are sustainable.

3-Factor DuPont

ROE = Net Profit Margin × Asset Turnover × Equity Multiplier

ComponentFormulaCurrentY-1Y-2
Net Profit MarginNet Income / Revenue
Asset TurnoverRevenue / Average Total Assets
Equity MultiplierAverage Total Assets / Average Shareholders' Equity
ROEMargin × Turnover × Multiplier

5-Factor DuPont (Extended)

ROE = Tax Burden × Interest Burden × EBIT Margin × Asset Turnover × Equity Multiplier

ComponentFormulaCurrentY-1Y-2
Tax BurdenNet Income / Pre-Tax Income
Interest BurdenPre-Tax Income / EBIT
EBIT MarginEBIT / Revenue
Asset TurnoverRevenue / Average Total Assets
Equity MultiplierAverage Total Assets / Average Equity
ROEProduct of all five

DuPont Interpretation

  • ROE driven by high margin (e.g., luxury brands, software): High-quality, sustainable — least risky driver
  • ROE driven by high asset turnover (e.g., retailers, distributors): Efficient but thin — watch for margin erosion
  • ROE driven by high leverage (equity multiplier > 3x): Amplified returns but magnified downside — assess debt sustainability carefully
  • Declining ROE: diagnose which factor is deteriorating before drawing conclusions

Competitive Analysis — Porter's Five Forces

ForceIntensity (H/M/L)Key Evidence
Threat of New EntrantsCapital requirements, brand moats, regulatory barriers
Bargaining Power of SuppliersSupplier concentration, switching costs, input criticality
Bargaining Power of BuyersCustomer concentration, price sensitivity, alternatives
Threat of SubstitutesTechnology disruption, cross-industry competition
Competitive RivalryNumber of peers, market growth rate, differentiation

Overall Moat Assessment: Wide / Narrow / None

  • Wide moat: Durable competitive advantage expected to persist 20+ years
  • Narrow moat: Competitive advantage present but may erode within 10 years
  • No moat: Competing primarily on price or operational efficiency

Visualization Data Tables

When a visual or report output is needed, populate these tables for chart generation (compatible with /us-stock-analysis:report-generator):

Revenue & Earnings Growth

Year    Revenue ($M)    Revenue Growth %    Net Income ($M)    EPS ($)
2020    [value]         [%]                 [value]            [value]
2021    [value]         [%]                 [value]            [value]
2022    [value]         [%]                 [value]            [value]
2023    [value]         [%]                 [value]            [value]
2024    [value]         [%]                 [value]            [value]

Profit Margin Trends

Year    Gross Margin %    Operating Margin %    Net Margin %    Industry Avg %
2020    [%]              [%]                   [%]             [%]
2021    [%]              [%]                   [%]             [%]
2022    [%]              [%]                   [%]             [%]
2023    [%]              [%]                   [%]             [%]
2024    [%]              [%]                   [%]             [%]

Balance Sheet Composition

Year    Current Assets ($M)    Fixed Assets ($M)    Intangibles ($M)    Total Assets ($M)
2020    [value]               [value]              [value]             [value]
2021    [value]               [value]              [value]             [value]
2022    [value]               [value]              [value]             [value]
2023    [value]               [value]              [value]             [value]
2024    [value]               [value]              [value]             [value]

Year    Current Liab ($M)    Long-term Debt ($M)    Equity ($M)    Total L+E ($M)
2020    [value]             [value]                [value]        [value]
2021    [value]             [value]                [value]        [value]
2022    [value]             [value]                [value]        [value]
2023    [value]             [value]                [value]        [value]
2024    [value]             [value]                [value]        [value]

Cash Flow Waterfall

Component                   Amount ($M)    Notes
Operating Cash Flow         [value]        Core business generation
Capital Expenditures        [value]        Investments in assets
Free Cash Flow             [value]        Available for distribution
Dividends                  [value]        Shareholder distribution
Share Buybacks             [value]        Share repurchases
M&A Activity               [value]        Acquisitions
Debt Repayment             [value]        Debt reduction
Net Cash Change            [value]        Bottom line impact

Valuation Multiples Comparison

Metric              Company    Industry Avg    5-Year Avg    Assessment
P/E Ratio           [value]    [value]         [value]       [Over/Under/Fair]
P/B Ratio           [value]    [value]         [value]       [Over/Under/Fair]
P/S Ratio           [value]    [value]         [value]       [Over/Under/Fair]
EV/EBITDA          [value]    [value]         [value]       [Over/Under/Fair]
PEG Ratio          [value]    [value]         [value]       [Over/Under/Fair]

Quality Scoring Framework

Piotroski F-Score (0–9)

The Piotroski F-Score measures financial strength and operating improvement across 9 binary criteria. Each criterion scores 1 (pass) or 0 (fail). Score of 8–9 is strong; 0–2 is weak.

Profitability Signals (4 criteria):

#CriterionFormulaPass ConditionScore
1ROA > 0Net Income / Total AssetsPositive ROA in current year0 or 1
2Operating Cash Flow > 0CFO from cash flow statementPositive CFO0 or 1
3Change in ROAROA(t) − ROA(t-1)ROA improved year-over-year0 or 1
4Accruals (quality)CFO / Total Assets > ROACash earnings exceed reported earnings0 or 1

Leverage, Liquidity & Source of Funds (3 criteria):

#CriterionFormulaPass ConditionScore
5Change in LeverageLong-term Debt / Avg AssetsLeverage decreased YoY0 or 1
6Change in LiquidityCurrent Ratio(t) vs (t-1)Current ratio improved YoY0 or 1
7No New Shares IssuedDiluted shares outstandingNo new equity issuance in past year0 or 1

Operating Efficiency (2 criteria):

#CriterionFormulaPass ConditionScore
8Change in Gross MarginGross Margin(t) vs (t-1)Gross margin expanded YoY0 or 1
9Change in Asset TurnoverRevenue / Total AssetsAsset turnover improved YoY0 or 1

F-Score Interpretation:

  • 8–9: Strong financial position — high-quality candidate
  • 5–7: Average quality — neutral
  • 0–2: Weak financial position — high risk of deterioration

Earnings Quality Score

  • Accruals Ratio: (Net Income − CFO) / Average Total Assets. Low or negative accruals indicate high earnings quality (cash-backed profits).
  • Cash Conversion Rate: CFO / Net Income. Ratio consistently above 1.0x is positive. Below 0.7x signals potential earnings inflation.
  • Non-Recurring Items: Identify and strip out restructuring charges, asset write-downs, gains on asset sales, and one-time tax benefits from normalized earnings.
  • Revenue Recognition Risk: Assess channel stuffing, bill-and-hold arrangements, and aggressive deferred revenue recognition.

ROIC / WACC Analysis

ROIC Calculation

ROIC = NOPAT / Invested Capital

  • NOPAT (Net Operating Profit After Tax) = EBIT × (1 − effective tax rate)
  • Invested Capital = Total Equity + Total Debt − Cash and Cash Equivalents
  • Alternatively: Invested Capital = Net PP&E + Net Working Capital + Goodwill + Other Long-term Operating Assets
ComponentValue
EBIT
Effective Tax Rate
NOPAT
Total Equity
Total Debt
Less: Cash
Invested Capital
ROIC

WACC Calculation

WACC = (E/V) × Re + (D/V) × Rd × (1 − T)

  • Cost of Equity (Re) via CAPM: Re = Rf + β × (Rm − Rf)
    • Rf: Risk-free rate (current 10-year Treasury yield)
    • β: Stock beta (5-year monthly vs. S&P 500)
    • (Rm − Rf): Equity risk premium (historical ~5–6%)
  • Cost of Debt (Rd): Weighted average interest rate on outstanding debt
  • Capital Structure Weights: E/V = market cap / (market cap + total debt), D/V = total debt / (market cap + total debt)
  • Tax Shield: Multiply Rd by (1 − marginal tax rate) to reflect interest deductibility
ComponentValue
Risk-Free Rate (Rf)
Beta (β)
Equity Risk Premium
Cost of Equity (Re)
Pre-Tax Cost of Debt
Tax Rate
After-Tax Cost of Debt
Equity Weight (E/V)
Debt Weight (D/V)
WACC

Economic Value Added (EVA)

EVA = (ROIC − WACC) × Invested Capital

  • ROIC > WACC: Company is creating economic value — every dollar invested earns more than its cost. Strong positive signal.
  • ROIC = WACC: Company is breaking even economically — no value creation or destruction.
  • ROIC < WACC: Company is destroying shareholder value — capital is deployed below its opportunity cost. Significant warning sign.

ROIC vs. WACC spread trend (expanding = improving value creation, compressing = deteriorating):

YearROICWACCSpreadEVA
Current
-1 Year
-2 Year
-3 Year

DCF Framework

Step-by-Step DCF Methodology

Step 1 — Project Free Cash Flow (Years 1–10)

  • Start with current year base FCF = Operating Cash Flow − Maintenance Capex
  • Apply revenue growth rate assumptions (differentiate Phase 1: high growth, Phase 2: fade to stable)
  • Apply operating margin assumptions (expanding/stable/compressing)
  • Deduct taxes and changes in net working capital
  • FCF = NOPAT + D&A − Change in Working Capital − Capex

Step 2 — Terminal Value Calculation

  • Gordon Growth Model: TV = FCF(Year 10) × (1 + g) / (WACC − g)
  • Exit Multiple Method: TV = EBITDA(Year 10) × Terminal EV/EBITDA multiple
  • Terminal growth rate (g): typically 2–3% (in line with long-run nominal GDP growth)
  • Cross-check both methods for reasonableness

Step 3 — Discount to Present Value

  • Discount each year's FCF: PV(FCFt) = FCFt / (1 + WACC)^t
  • Discount terminal value: PV(TV) = TV / (1 + WACC)^10
  • Enterprise Value = Sum of all discounted FCFs + PV(Terminal Value)
  • Equity Value = Enterprise Value − Net Debt
  • Intrinsic Value Per Share = Equity Value / Diluted Shares Outstanding

Key Assumptions

AssumptionBase CaseBull CaseBear Case
Revenue Growth Yr 1–5
Revenue Growth Yr 6–10
Operating Margin
Tax Rate
Capex (% Revenue)
WACC
Terminal Growth Rate
Terminal EV/EBITDA

Sensitivity Table

Intrinsic value per share at various WACC and terminal growth rate combinations:

WACC \ Terminal Growth1.5%2.0%2.5%3.0%3.5%
7%
8%
9%
10%
11%

Margin of Safety Assessment

  • Intrinsic Value (Base Case):
  • Current Market Price:
  • Premium / (Discount) to Intrinsic Value:
  • Margin of Safety: (Intrinsic Value − Market Price) / Intrinsic Value × 100%
    • 30% discount: Significant margin of safety — compelling value

    • 10–30% discount: Moderate margin of safety — attractive
    • 0–10% discount: Limited margin of safety — fairly valued
    • Trading at premium: No margin of safety — risk of capital loss if assumptions miss

Management Quality Assessment

Capital Allocation Track Record

  • ROIC Trend: Is management generating returns above cost of capital consistently? Review 5-year ROIC history.
  • Acquisition History: Evaluate past M&A for value creation. Did acquired assets earn above WACC? Were goodwill impairments taken post-acquisition?
  • Buyback Timing: Did management repurchase shares below intrinsic value? Assess buyback price vs. subsequent performance.
  • Dividend Policy: Sustainable payout ratio? Dividend growth track record. Balance between dividends, buybacks, and reinvestment.
  • Capex Discipline: Differentiate growth capex vs. maintenance capex. Asset-light vs. capital-intensive business assessment.

Guidance Accuracy History (Last 8 Quarters)

QuarterEPS GuidanceEPS ActualBeat/MissRevenue GuidanceRevenue ActualBeat/Miss
Q1
Q2
Q3
Q4
Q5
Q6
Q7
Q8
RateX/8X/8
  • Beat rate above 75% (6+/8) is strong. Below 50% suggests overpromising or deteriorating visibility.
  • Assess guidance conservatism (sandbagging tendency) vs. optimism bias.

Insider Ownership Alignment

  • CEO ownership (% of shares outstanding): > 3% meaningful, > 10% highly aligned
  • Board ownership: Independent directors with meaningful personal stakes indicate alignment
  • Recent insider transactions: Open-market buys are strongly positive; sells can be routine diversification
  • Insider buy/sell ratio over past 12 months
  • 10b5-1 plan activity: Scheduled plan sales are less informative than discretionary transactions

Compensation Structure

  • Pay-for-performance alignment: Are bonuses and equity vesting tied to ROIC, FCF, and total shareholder return (TSR)?
  • Long-term equity grants: Stock option or RSU vesting periods (3+ years preferred)
  • CEO pay ratio: Context for compensation relative to company size and peers
  • Say-on-pay vote: Shareholder approval percentage in most recent proxy vote
  • Excessive compensation red flags: Guaranteed bonuses, repriced options, change-of-control severance packages

Analyst Consensus Tracking

Current Consensus Summary

MetricValue
Buy RatingsX (X%)
Hold RatingsX (X%)
Sell RatingsX (X%)
Mean Price Target
High Price Target
Low Price Target
Current Price
Upside to Mean Target
# of Analysts

Consensus interpretation:

  • 70% Buy with >20% upside to mean target: Strong consensus support

  • Mixed ratings with tight price target range: Consensus uncertainty
  • 30% Sell ratings or mean target below current price: Consensus cautious

Estimate Revision Trend

Track the direction of earnings estimate changes over time:

PeriodEPS Estimate (Current FY)Change vs. 30 Days AgoChange vs. 90 Days Ago
Current FY
Next FY
Revenue (FY)
  • Estimates rising: Positive revision momentum — analysts upgrading expectations
  • Estimates falling: Negative revision momentum — earnings risk, watch for guidance cuts
  • Stable estimates: Predictable business with low estimate volatility

Earnings Estimate Revision Momentum (ERM Signal)

  • ERM = (Number of upward revisions − Number of downward revisions) / Total revisions over 30 days
  • ERM > +0.3: Strong positive momentum — bullish signal
  • ERM −0.3 to +0.3: Neutral
  • ERM < −0.3: Negative momentum — bearish signal
  • Most reliable when combined with price momentum confirmation

Risk Assessment Matrix

Business Risk

Risk FactorLevel (L/M/H)Notes
Industry cyclicality
Competitive intensity
Disruption threat
Customer concentration
Supplier concentration
Regulatory exposure
ESG / litigation

Financial Risk

Risk FactorLevel (L/M/H)Notes
Leverage (Net Debt/EBITDA)
Liquidity (Current Ratio)
Refinancing risk (near-term maturities)
Covenant compliance
Pension obligations
Off-balance-sheet items

Leverage thresholds (Net Debt/EBITDA):

  • < 1.0x: Conservative, strong balance sheet
  • 1.0–2.5x: Moderate, manageable
  • 2.5–4.0x: Elevated, monitor closely
  • 4.0x: High financial risk, limited flexibility

Valuation Risk

ScenarioImplied MultipleNotes
Bull case intrinsic value
Base case intrinsic value
Bear case intrinsic value
Current market price
Premium to bear case
  • Multiple compression scenario: If sector re-rates to lower multiples (e.g., in rising rate environment), what is the downside?
  • Earnings miss scenario: What happens to price if EPS misses by 10%? By 20%?
  • Sentiment shift risk: High-multiple, high-expectation stocks carry disproportionate downside on minor guidance cuts.

Macro Risk

FactorImpact LevelCurrent Exposure
Interest rate sensitivity
USD/FX exposure
Commodity cost exposure
Tariff / trade risk
Geopolitical exposure
Regulatory / antitrust

Output Format

Provide clear, actionable insights structured as follows:

  1. Investment Thesis Summary (2–3 sentences capturing the core bull or bear case)
  2. Valuation Assessment: Undervalued / Fairly Valued / Overvalued, with DCF and multiple-based support
  3. Quality Score: Piotroski F-Score, Earnings Quality, ROIC vs. WACC verdict
  4. Management Assessment: Capital allocator quality, guidance credibility, ownership alignment
  5. Analyst Consensus: Current ratings, price target vs. market, estimate revision direction
  6. Key Risks: Top 3 risks that could invalidate the thesis
  7. Price Targets: Bull / Base / Bear case with probability weighting
  8. Recommended Entry Zone: Based on margin of safety and technical support levels

Standard Signal Output

All analysis concludes with this standardized block:

## Thesis Invalidation

After delivering the analysis signal, specify what would reverse it:

**If signal is BULLISH — thesis breaks if:**
- Piotroski F-Score drops below 3 OR ROIC falls below WACC for 2 quarters
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**If signal is BEARISH — thesis breaks if:**
- F-Score improves to 7+ AND ROIC/WACC spread widens >300bps
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**Re-run this analysis when:**
- [ ] Next earnings release
- [ ] Price moves ±15% from current level
- [ ] 60 days have elapsed
- [ ] Material news event (acquisition, leadership change, regulatory decision)

╔══════════════════════════════════════════════╗
║              INVESTMENT SIGNAL               ║
╠══════════════════════════════════════════════╣
║ Signal:      BULLISH / NEUTRAL / BEARISH     ║
║ Confidence:  HIGH / MEDIUM / LOW             ║
║ Horizon:     SHORT / MEDIUM / LONG-TERM      ║
║ Score:       X.X / 10                        ║
╠══════════════════════════════════════════════╣
║ Action:      BUY / HOLD / SELL               ║
║ Conviction:  STRONG / MODERATE / WEAK        ║
╚══════════════════════════════════════════════╝

Score Guide: 8.0–10.0 Strongly Bullish | 6.0–7.9 Moderately Bullish | 4.0–5.9 Neutral | 2.0–3.9 Moderately Bearish | 0.0–1.9 Strongly Bearish Confidence: HIGH (strong data, clear signals) | MEDIUM (mixed signals) | LOW (limited data, conflicting signals) Horizon: SHORT-TERM (1 week–3 months) | MEDIUM-TERM (3 months–1 year) | LONG-TERM (1+ years)

Disclaimer: Educational analysis only. Not financial advice.

Frequently asked questions

What does the Stock Eval AI skill do?

Evaluate US stocks with comprehensive fundamental and valuation analysis

Why use Stock Eval on TypingMind?

Because you install it once and use it with any model. Stock Eval is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Stock Eval in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/stock-eval. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Stock Eval?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Stock Eval?

As many as you like. As long as a model supports skills, you can use Stock Eval with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Stock Eval AI skill free?

Yes. It is published on GitHub by yennanliu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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