Every analysis MUST include ALL of these:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionstock-evaluator-v3Execute the skills CLI command in your project's root directory to begin installation:
Fetches stock-evaluator-v3 from sundial-org/awesome-openclaw-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate stock-evaluator-v3. Access via /stock-evaluator-v3 in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Every analysis MUST include ALL of these:
If you cannot complete any item, STOP and ask for clarification.
NEVER fabricate, estimate, or hallucinate ANY numeric data point. Every metric in the dashboard MUST come from:
If data cannot be found → Use "N/A" or "--"
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 |
Use sources in this priority order:
| 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.
Use these EXACT labels in the dashboard (matches reference screenshots):
| 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%) |
| 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) |
| 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" |
| 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" |
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% |
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:
All monetary values in the dashboard should be displayed in Euro (€) as the default currency:
For the dashboard metrics "Rev Growth" and "Earn Growth":
Stock Evaluator is for:
NOT for:
1. Valuation Assessment
2. Quality Analysis
3. Timing Assessment
4. Position Sizing
5. Conviction Rating
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."
Components to evaluate (ADD points for trap indicators):
1. Price Momentum (25 points max)
2. Earnings Quality (25 points max)
3. Balance Sheet Health (25 points max)
4. Valuation Context (25 points max)
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)
Value Trap: 21 (Genuine)
Color coding: green <40, yellow 40-60, red >60
Score each stock against 8 famous investor philosophies (0-10 scale). This helps users understand what type of investor the stock suits.
Based on "The Warren Buffett Way" - seeks durable competitive advantages
Key metrics weighted:
Buffett likes: Predictable businesses, pricing power, low capex needs, consistent profitability
Based on "Poor Charlie's Almanack" - mental latticework, inversion thinking
Focus on: What could go WRONG (inversion principle)
Scoring: Start at 10, subtract penalties:
Based on "Principles" - All-Weather portfolio, economic machine understanding
Key metrics:
Dalio likes: Deleveraging plays, operational efficiency, cycle resilience
Based on "One Up on Wall Street" - GARP (Growth at Reasonable Price)
Primary metric: PEG Ratio (P/E ÷ Growth Rate)
Adjustment factors:
Based on "The Intelligent Investor" - Margin of Safety
Graham criteria (2 points each, max 10):
Based on "The Little Book That Beats the Market" - Magic Formula
Combines two rankings:
Scoring: Combined rank in top 10% = 10 points, scaled down
Based on contrarian, global value investing
Key factors:
Based on "The Alchemy of Finance" - Reflexivity
Key factors:
Soros likes: Macro plays, reflexive situations, trend participation
Show 8 badges around radar chart with scores and color coding:
Components to Calculate:
Cloud (Kumo): Area between Senkou Span A and B
Signals to Identify and Display:
What to Analyze:
Management Evaluation:
Competitive Position:
Research Process Order:
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
stock-evaluator-v3 has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for stock-evaluator-v3 matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: stock-evaluator-v3 is focused, and the summary matches what you get after install.
stock-evaluator-v3 reduced setup friction for our internal harness; good balance of opinion and flexibility.
stock-evaluator-v3 is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Solid pick for teams standardizing on skills: stock-evaluator-v3 is focused, and the summary matches what you get after install.
stock-evaluator-v3 fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in stock-evaluator-v3 — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added stock-evaluator-v3 from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend stock-evaluator-v3 for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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