stock-evaluator-v3

sundial-org/awesome-openclaw-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3
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summary

Every analysis MUST include ALL of these:

skill.md

Stock Evaluator (Enhanced)

⚠️ CRITICAL: MANDATORY DELIVERABLES CHECKLIST

Every analysis MUST include ALL of these:

  • Technical Analysis (price action, indicators, key levels, Ichimoku Cloud)
  • Fundamental Analysis (business, financials, competitive position)
  • Advanced Financial Metrics (F-Score, Z-Score, M-Score, Max Drawdown, Value Trap Score)
  • Investor Persona Scores (8 legendary investor frameworks)
  • Valuation Assessment (multiple methods with margin of safety)
  • Bull vs. Bear Case (both sides with balance assessment)
  • Clear Recommendation (BUY / HOLD / SELL with conviction rating)
  • Alternative Candidates (if SELL: provide 3-5 better alternatives)
  • Enhanced Quant-Style Dashboard (React dashboard with 60+ metrics, Ichimoku, investor personas, TOP NEWS, and key notes)

If you cannot complete any item, STOP and ask for clarification.


⚠️ CRITICAL: DATA INTEGRITY RULES

ZERO FABRICATION POLICY

NEVER fabricate, estimate, or hallucinate ANY numeric data point. Every metric in the dashboard MUST come from:

  1. A web search result with a cited source
  2. Company filings (10-K, 10-Q, earnings reports)
  3. Official financial data providers

If data cannot be found → Use "N/A" or "--"

MANDATORY WEB SEARCHES (minimum per analysis)

You MUST perform these searches before populating the dashboard:

Search # Query Template Data Retrieved
1 "[TICKER] stock price market cap P/E ratio" Price, Market Cap, P/E
2 "[TICKER] ROE ROA profit margin 2024 annual report" Financial ratios
3 "[TICKER] revenue growth earnings growth FY2024" Growth rates (REPORTED)
4 "[TICKER] Piotroski F-Score" F-Score (or calculate)
5 "[TICKER] insider trading SEC Form 4 2025" Insider buys/sells
6 "[TICKER] short interest percentage float" Short interest
7 "[TICKER] RSI MACD 50-day 200-day moving average beta volatility" Technical indicators
8 "[TICKER] analyst price target consensus" Analyst targets

DATA SOURCE HIERARCHY

Use sources in this priority order:

  1. Official company filings (SEC EDGAR, company investor relations)
  2. Exchange data (NYSE, NASDAQ, LSE official)
  3. Verified financial data (Yahoo Finance, Google Finance, MarketWatch)
  4. SEC Form 4 (for insider trading ONLY)
  5. FINRA/exchange (for short interest ONLY)

PROHIBITED

  • Using training knowledge for ANY specific current numbers
  • Analyst reports (per user preference)
  • Estimates without sourcing
  • "Common knowledge" assumptions

HANDLING UNAVAILABLE DATA

Situation Action Display
Metric not found after searching Display "N/A" value: "N/A"
Data is outdated (>1 year old) Note the date value: "15.2% (2023)"
Conflicting sources Use most authoritative Note in analysis
Calculated metric (F-Score) Show calculation Explain in text
Insider data unavailable Show "N/A" insBuys: "N/A"

CRITICAL: Zero means "zero occurred" - NEVER substitute zeros for missing data.


STANDARDIZED METRIC LABELS

Use these EXACT labels in the dashboard (matches reference screenshots):

Row 1: PRICE & VALUATION | FINANCIAL PERFORMANCE

Label Notes
Price: $XX.XX or €XX.XX
Market Cap: $XXB or €XXB
Trailing P/E: XX.XX
Forward P/E: XX.XX
Subsector P/E: XX.XX or N/A
PEG (1Y): X.XX with benchmark (<1)
ROE: XX.XX% with benchmark (>20%)
ROA: XX.XX% with benchmark (>10%)
Profit Margin: XX.XX% with benchmark (>20%)
Operative Margin: XX.XX% with benchmark (>20%) - NOTE: "Operative" not "Operating"
Gross Margin: XX.XX% with benchmark (>40%)
ROIC: XX.X% with benchmark (>15%)

Row 2: GROWTH METRICS | RISK INDICATORS

Label Notes
Revenue (YoY): XX.XX% with benchmark (>10%) - REPORTED only
Earning (YoY): XX.XX% with benchmark (>0%) - REPORTED only
EPS (TTM): $X.XX
Forward EPS: $X.XX
Growth Rates: Capped: X.X% / Uncapped: X.X%
Analyst Target: $XX.XX
CRS (0-1): X.XX with benchmark (Medium)
Debt/Equity (mrq): X.XX with benchmark (0.5-1)
Piotroski F: X with benchmark (≥7)
Altman Z: X.XX with benchmark (>3)
Beneish M: X.XX with benchmark (<-1.78)
Value Trap: XX (Label)

Row 3: LIQUIDITY & FREE CASH FLOW | INSIDER & SENTIMENT & CLASS

Label Notes
Current Ratio: X.XX with benchmark (1-2)
Cash: $X.XB
Debt: $X.XB or N/A
FCF Growth 5Y: XX.X% with benchmark (>5%)
FCF Yield: X.XX% with benchmark (>4%)
FCF Margin: XX.XX% with benchmark (>15%)
Payout Ratio: XX.XX% with benchmark (<50%)
Buys (12M): X - from SEC Form 4 or N/A
Sells (12M): X - from SEC Form 4 or N/A
Net Shares (12M): +/-XXK - from SEC Form 4 or N/A
Short Int (%): X.X%
Sentiment / Articles: +X.XXX / XX (Positive/Negative)
Stock: [Type] + Div Yield: Combined: "Stock: Growth" + "Div Yield: X.XX%"
Sector/Industry: Combined: "Sector / Industry"

Row 4: QUALITY SCORES | MOAT & OTHER

Label Notes
CQVS: XX.XX with benchmark range
Label: Strong/Moderate/Weak
Valuation: XX.XX
Quality: XX.XX
Strength: XX.XX
Integrity: XX.XX
Buffett Moat: X with benchmark (4-7)
Greenblatt (MF): EY: X.X% / ROC: X.X% or N/A
Beta: + Vol 1Y: Combined: "Beta: X.XX" + "Vol 1Y: XX.X%"
Earnings Predict.: XX.X% with benchmark (>80%)
Drawdown (5Y): -XX.X% with label (Low/Mid/High)
Completeness: + Data Quality: Combined: "XX.X%" + "High/Medium/Low"

STANDARDIZED BENCHMARKS (Single Source of Truth)

Use these EXACT thresholds for color coding:

Metric Green (Good) Yellow (Neutral) Red (Warning)
ROE >20% 10-20% <10%
ROA >10% 5-10% <5%
Profit Margin >20% 10-20% <10%
Operative Margin >20% 10-20% <10%
Gross Margin >40% 25-40% <25%
ROIC >15% 8-15% <8%
Debt/Equity <1 1-2 >2
Current Ratio 1-2 0.5-1 or 2-3 <0.5 or >3
Piotroski F ≥7 4-6 ≤3
Altman Z >2.99 1.81-2.99 <1.81
Beneish M <-2.22 -2.22 to -1.78 >-1.78
PEG (1Y) <1 1-2 >2
RSI (14) 30-50 50-70 >70 or <30
Short Interest <5% 5-10% >10%
FCF Yield >5% 2-5% <2%
FCF Margin >15% 10-15% <10%
Dividend Yield >2% 1-2% <1% or >8%
Value Trap 0-39 40-59 60-100
Max Drawdown >-30% -30% to -50% <-50%
Revenue Growth >10% 0-10% <0%
Earnings Growth >0% -10% to 0% <-10%

Overview

This skill provides institutional-grade evaluation of potential stock investments. Unlike portfolio analysis which reviews existing positions, this skill evaluates stocks you're considering buying or deciding whether to purchase.

The evaluation answers:

  • Should I buy this stock?
  • At what price should I enter?
  • How much should I allocate?
  • What's my upside and downside?
  • When should I sell?

Default Currency: € (Euro)

All monetary values in the dashboard should be displayed in Euro (€) as the default currency:

  • Price: €42.13
  • Market Cap: €78.3B
  • Analyst Target: €56.45
  • Entry/Stop/Target prices: €38, €35, €56
  • EPS values: €1.39, €1.91

IMPORTANT: Use REPORTED Growth Rates

For the dashboard metrics "Rev Growth" and "Earn Growth":

  • USE REPORTED GROWTH - not underlying, adjusted, or organic figures
  • Reported figures reflect actual GAAP/IFRS numbers including FX, acquisitions, disposals
  • This provides a more accurate picture of what investors actually received
  • Example: If underlying growth is 7% but reported is 2.2%, use 2.2%
  • Same for earnings: Use reported EPS growth, not adjusted EPS growth

Core Purpose

Stock Evaluator is for:

  • ✅ Evaluating potential investments BEFORE buying
  • ✅ Analyzing watchlist candidates
  • ✅ Getting buy/hold/sell recommendations with specific prices
  • ✅ Comparing multiple investment opportunities
  • ✅ Finding better alternatives to current consideration

NOT for:

  • ❌ Reviewing existing portfolio positions (use Portfolio Analyst skill)
  • ❌ General stock market questions
  • ❌ Stock screening or discovery from scratch
  • ❌ Options, derivatives, or crypto analysis

Evaluation Framework

Five Pillars of Stock Evaluation

1. Valuation Assessment

  • Is the stock undervalued, fairly valued, or overvalued?
  • Multiple valuation methods (DCF, relative, Peter Lynch, asset-based)
  • Margin of safety requirement (15-30%)
  • Fair value estimate with confidence range

2. Quality Analysis

  • Business model strength and competitive moat
  • Financial health and trends (5-10 year view)
  • Management quality and capital allocation
  • Industry position and competitive advantages

3. Timing Assessment

  • Technical setup and entry points
  • Near-term catalysts and events
  • Market sentiment and positioning
  • Optimal entry price range

4. Position Sizing

  • Allocation recommendation (% of portfolio)
  • Based on conviction, risk, and diversification
  • Maximum allocation limits
  • Risk-adjusted sizing

5. Conviction Rating

  • Strong Buy: High conviction, clear undervaluation, low risk
  • Buy: Good opportunity, reasonable valuation, moderate risk
  • Hold: Fairly valued, no compelling reason to buy now
  • Avoid: Overvalued, significant risks, or better alternatives exist

Value Trap Indicator

What It Is

A Value Trap is when a stock appears undervalued (low P/E, low P/B) but is actually cheap for valid fundamental reasons. The stock keeps declining despite appearing "cheap."

Value Trap Score Calculation (0-100, LOWER = more genuine, HIGHER = more trap)

Components to evaluate (ADD points for trap indicators):

1. Price Momentum (25 points max)

  • 6-month price change vs market: If underperforming by >20%, ADD 15-25 points
  • 12-month price change: Sustained decline = ADD 10-20 points
  • If price momentum is POSITIVE: ADD 0 points

2. Earnings Quality (25 points max)

  • EPS trend (3 years): Declining = ADD 10-25 points
  • Revenue trend: Declining = ADD 5-15 points
  • Margin trend: Compressing = ADD 5-10 points
  • If earnings quality is STRONG: ADD 0 points

3. Balance Sheet Health (25 points max)

  • Debt levels increasing? ADD 5-15 points
  • Cash flow negative or declining? ADD 10-20 points
  • Working capital deteriorating? ADD 5-10 points
  • If balance sheet is HEALTHY: ADD 0 points

4. Valuation Context (25 points max)

  • Is low multiple justified by declining fundamentals? ADD 10-25 points
  • Compare current fundamentals to when multiple was higher
  • If fundamentals justify valuation: ADD 0 points

Scoring Formula

Value Trap Score = Momentum Penalty + Quality Penalty + Balance Sheet Penalty + Valuation Penalty

(Score ranges from 0 to 100, where 0 = definitely genuine value, 100 = definite value trap)

Score Interpretation

  • 0-19: Genuine Value (likely undervalued, fundamentals intact) - GREEN
  • 20-39: Probably Genuine (minor concerns, monitor) - LIGHT GREEN
  • 40-59: Caution Zone (mixed signals, proceed carefully) - YELLOW
  • 60-79: Likely Trap (multiple red flags) - ORANGE
  • 80-100: Strong Trap Signal (avoid) - RED

Display Format

Value Trap: 21 (Genuine)

Color coding: green <40, yellow 40-60, red >60


Investor Persona Scores

Score each stock against 8 famous investor philosophies (0-10 scale). This helps users understand what type of investor the stock suits.

1. Warren Buffett Score

Based on "The Warren Buffett Way" - seeks durable competitive advantages

Key metrics weighted:

  • ROE (>20%): 2 points
  • Profit margin (>15%): 2 points
  • Free cash flow positive & growing: 2 points
  • Moat strength (brand, pricing power): 2 points
  • Predictable earnings: 2 points

Buffett likes: Predictable businesses, pricing power, low capex needs, consistent profitability

2. Charlie Munger Score

Based on "Poor Charlie's Almanack" - mental latticework, inversion thinking

Focus on: What could go WRONG (inversion principle)

Scoring: Start at 10, subtract penalties:

  • High debt (D/E > 2): -3 points
  • Volatile earnings: -2 points
  • Poor management history: -2 points
  • No competitive moat: -2 points
  • Accounting red flags: -3 points

3. Ray Dalio Score

Based on "Principles" - All-Weather portfolio, economic machine understanding

Key metrics:

  • D/E ratio < 1: 2 points
  • Beta < 1: 2 points
  • Stable margins across cycles: 2 points
  • Low earnings volatility: 2 points
  • Recession resistance history: 2 points

Dalio likes: Deleveraging plays, operational efficiency, cycle resilience

4. Peter Lynch Score

Based on "One Up on Wall Street" - GARP (Growth at Reasonable Price)

Primary metric: PEG Ratio (P/E ÷ Growth Rate)

  • PEG < 0.5: 10 points
  • PEG 0.5-1.0: 8 points
  • PEG 1.0-1.5: 6 points
  • PEG 1.5-2.0: 4 points
  • PEG > 2.0: 2 points

Adjustment factors:

  • +1 if earnings growing consistently
  • +1 if business easy to understand
  • -1 if declining industry

5. Benjamin Graham Score

Based on "The Intelligent Investor" - Margin of Safety

Graham criteria (2 points each, max 10):

  • P/E < 15
  • P/B < 1.5
  • Current ratio > 2
  • Positive earnings 10 years
  • Dividend paid 20+ years

6. Joel Greenblatt Score

Based on "The Little Book That Beats the Market" - Magic Formula

Combines two rankings:

  • Earnings Yield (EBIT/EV): Higher = better
  • Return on Capital (EBIT/Net Fixed Assets + Working Capital): Higher = better

Scoring: Combined rank in top 10% = 10 points, scaled down

7. John Templeton Score

Based on contrarian, global value investing

Key factors:

  • Trading at multi-year lows: +3 points
  • Out of favor with analysts: +2 points
  • Strong fundamentals despite pessimism: +3 points
  • Global perspective (non-US opportunity): +2 points

8. George Soros Score

Based on "The Alchemy of Finance" - Reflexivity

Key factors:

  • Momentum and trend strength: 3 points
  • Macro tailwinds: 3 points
  • Market perception shifting: 2 points
  • Inflection point catalyst: 2 points

Soros likes: Macro plays, reflexive situations, trend participation

Display Format

Show 8 badges around radar chart with scores and color coding:

  • Green (7-10): Strong fit
  • Yellow (4-6.9): Moderate fit
  • Red (0-3.9): Poor fit

Enhanced Technical Analysis

Ichimoku Cloud Analysis

Components to Calculate:

  • Tenkan-sen (Conversion Line): (9-period high + 9-period low) / 2
  • Kijun-sen (Base Line): (26-period high + 26-period low) / 2
  • Senkou Span A: (Tenkan-sen + Kijun-sen) / 2, plotted 26 periods ahead
  • Senkou Span B: (52-period high + 52-period low) / 2, plotted 26 periods ahead
  • Chikou Span (Lagging Span): Current close plotted 26 periods back

Cloud (Kumo): Area between Senkou Span A and B

Signals to Identify and Display:

  • TK Bullish Cross: Tenkan-sen crosses above Kijun-sen (bullish) - mark with ◆
  • TK Bearish Cross: Tenkan-sen crosses below Kijun-sen (bearish) - mark with ◆
  • Kumo Twist Bullish: Cloud changes from red to green - mark with ◆
  • Kumo Twist Bearish: Cloud changes from green to red - mark with ◆
  • Price vs Cloud: Above cloud (bullish), Below cloud (bearish), In cloud (neutral)

Dual PEG Ratios

  • PEG (1Y): P/E ÷ 1-Year Forward Growth Estimate
  • PEG (5Y): P/E ÷ 5-Year Historical Growth Rate
  • Both provide different perspectives on growth valuation

FCF Margin

  • Formula: Free Cash Flow / Revenue × 100
  • Benchmark: >15% is excellent, >10% is good
  • Shows cash generation efficiency relative to sales

News Sentiment & Short Interest

  • News Sentiment: -1 to +1 scale based on recent article sentiment
  • Short Interest: % of float sold short (>10% = high, <5% = low)
  • Both indicate market sentiment and potential squeeze/reversal

Fundamental Analysis Process

1. Business Understanding (Always First)

What to Analyze:

  • What does the company do? (products, services, business model)
  • Revenue sources and breakdown
  • Target customers and markets
  • Competitive advantages (moat sources)
  • Market position and share
  • Industry dynamics and trends

Management Evaluation:

  • CEO background, tenure, track record
  • CFO and key executives
  • Capital allocation decisions (dividends, buybacks, acquisitions, R&D)
  • Management compensation alignment
  • Insider trading patterns (buying is bullish signal)
  • Leadership quality from earnings calls and letters

Competitive Position:

  • Market share and trends
  • Key competitors (identify 3-5 direct peers)
  • What differentiates this company?
  • Sustainable competitive advantages?

2. Financial Analysis (5-10 Year View)

Research Process Order:

  1. Latest 10-K first - Understand current business and recent results
  2. Go back 5-10 years through historical 10-Ks - Understand evolution
  3. Review last 2-3 years of 10-Qs - Current trajectory
  4. Examine proxy statem
how to use stock-evaluator-v3

How to use stock-evaluator-v3 on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add stock-evaluator-v3
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3

The skills CLI fetches stock-evaluator-v3 from GitHub repository sundial-org/awesome-openclaw-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/stock-evaluator-v3

Reload or restart Cursor to activate stock-evaluator-v3. Access the skill through slash commands (e.g., /stock-evaluator-v3) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.667 reviews
  • Arya Chawla· Dec 28, 2024

    stock-evaluator-v3 has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Henry Tandon· Dec 28, 2024

    Registry listing for stock-evaluator-v3 matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Dhruvi Jain· Dec 16, 2024

    Solid pick for teams standardizing on skills: stock-evaluator-v3 is focused, and the summary matches what you get after install.

  • Nia Chen· Dec 12, 2024

    stock-evaluator-v3 reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Nia Ndlovu· Dec 8, 2024

    stock-evaluator-v3 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Nia Gonzalez· Dec 8, 2024

    Solid pick for teams standardizing on skills: stock-evaluator-v3 is focused, and the summary matches what you get after install.

  • Arjun Rao· Nov 19, 2024

    stock-evaluator-v3 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Valentina Thomas· Nov 19, 2024

    Useful defaults in stock-evaluator-v3 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Oshnikdeep· Nov 7, 2024

    We added stock-evaluator-v3 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Carlos Wang· Nov 3, 2024

    I recommend stock-evaluator-v3 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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