value-dividend-screener

v1.0.1

Screen US equities for value and dividend quality using multi-factor scoring across P/E, P/B, dividend yield, and payout sustainability via the Finskills API.

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Install

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "value-dividend-screener" (finskills/value-dividend-screener) from ClawHub.
Skill page: https://clawhub.ai/finskills/value-dividend-screener
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: FINSKILLS_API_KEY
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install value-dividend-screener

ClawHub CLI

Package manager switcher

npx clawhub@latest install value-dividend-screener
Security Scan
Capability signals
CryptoCan make purchasesRequires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
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high confidence
Purpose & Capability
The name/description (value + dividend screener) match the runtime instructions (calls to finskills.net endpoints and multi-factor scoring). The only minor inconsistency is metadata/version/homepage discrepancies between registry (no homepage, version 1.0.1) and the SKILL.md/README (homepage GitHub, version 1.0.2), which may just be a packaging/metadata mismatch and not a functional problem.
Instruction Scope
SKILL.md confines actions to HTTP GET calls to finskills.net endpoints, computing derived financial ratios, scoring, and producing ranked output. It does not instruct reading local files, other env vars, or transmitting data to unrelated third parties. Note: full-screening the S&P500 will trigger many API calls — the doc explicitly warns about this and recommends pre-filters.
Install Mechanism
This is an instruction-only skill with no install spec or archived downloads, which is low risk. The README shows an example 'npx skills add https://github.com/finskills/value-dividend-screener' command pointing to a GitHub repo; since the package in the registry contains only SKILL.md and README, verify the referenced GitHub repo and its contents before running any install that pulls code.
Credentials
Only one required environment variable (FINSKILLS_API_KEY) is declared and used; this is proportional to a skill that calls the Finskills API. The README/SKILL.md note that some endpoints require a Pro plan — users should be aware that use may require a paid plan and/or incur rate limits or usage costs. Treat the API key as a secret.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or access to other skills' configs. Model invocation is allowed (the platform default) — this is expected for a functional skill and not problematic by itself.
Assessment
This skill appears coherent and limited to calling finskills.net with your FINSKILLS_API_KEY to fetch financials and compute scores. Before installing: (1) Confirm the finskills.net service and the GitHub repo referenced in the SKILL.md/README are legitimate and match the registry entry (there are minor version/homepage mismatches). (2) Understand that screening the S&P 500 may trigger many API requests — check rate limits, costs, and whether you need a Pro plan for some endpoints. (3) Keep your FINSKILLS_API_KEY secret; the skill needs it to call the API but nothing in the files suggests it transmits it to other endpoints. (4) If you are uncomfortable with autonomous agent invocation, restrict the skill or disable autonomous invocation in your agent settings. If you want higher assurance, inspect the upstream GitHub repo (or contact the publisher) for any hidden code before adding any install that would pull and run external scripts.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

EnvFINSKILLS_API_KEY
Primary envFINSKILLS_API_KEY
latestvk970ggk1fdwmperkt41h2f36b98538mh
74downloads
0stars
2versions
Updated 1w ago
v1.0.1
MIT-0

Value & Dividend Screener

Screen stocks for undervaluation and sustainable dividend income using fundamental financial data from the Finskills API. Implements a multi-factor quality + value + yield framework inspired by academic research (Graham, Fama-French value factor, dividend growth investing). Produces a ranked list with scoring rationale for each position.


Setup

API Key requiredRegister at https://finskills.net to get your free key.
Header: X-API-Key: <your_api_key>

Get your API key: Register at https://finskills.net — free tier available, Pro plan unlocks real-time quotes, history, and financials.


When to Activate This Skill

Activate when the user:

  • Asks to screen for undervalued dividend-paying stocks
  • Wants to build an income or dividend growth portfolio
  • Asks for stocks with low P/E and high dividend yields
  • Wants to find value stocks using fundamental metrics
  • Asks to compare dividend sustainability across multiple companies
  • Uses terms like "dividend aristocrats", "value investing", "income investing"

Screening Universe

When no specific tickers are provided, use the S&P 500 constituent list as the screening pool:

GET https://finskills.net/v1/free/index/SP500/constituents

If the user provides a specific watchlist or sector, screen only those tickers.

Note: Screening all 500 stocks requires many API calls. When running a full screen, apply pre-filters based on easily-computable criteria first (sector, indices), then deep-dive into the top candidates.


Data Retrieval — Finskills API Calls

Per-Stock Data Retrieval (run for each candidate)

1. Financial Statements

GET https://finskills.net/v1/stocks/financials/{SYMBOL}

Extract (annual and trailing twelve months):

  • Income Statement: revenue, grossProfit, operatingIncome, netIncome, eps
  • Balance Sheet: totalAssets, totalDebt, totalEquity, currentAssets, currentLiabilities, cashAndEquivalents
  • Cash Flow: operatingCashFlow, capitalExpenditures, freeCashFlow, dividendsPaid
  • Derived: calculate debtToEquity = totalDebt / totalEquity, currentRatio = currentAssets / currentLiabilities

2. Dividend History

GET https://finskills.net/v1/stocks/dividends/{SYMBOL}

Extract:

  • dividendPerShare: most recent annual dividend
  • dividendYield: current yield percentage
  • History array: last 5–10 years of annual dividend payments (for growth rate)
  • exDividendDate: upcoming ex-dividend date

3. Current Quote + Valuation

GET https://finskills.net/v1/stocks/quote/{SYMBOL}

Extract: price, marketCap, peRatio, forwardPE, priceToBook, priceToSales, enterpriseValue, evToEbitda

4. Analyst Estimates (Forward Metrics)

GET https://finskills.net/v1/free/stocks/estimates/{SYMBOL}

Extract:

  • Forward EPS consensus
  • Revenue growth estimate
  • Number of analysts

5. Analyst Recommendations

GET https://finskills.net/v1/stocks/recommendations/{SYMBOL}

Extract: overall recommendation rating (Strong Buy / Buy / Hold / Underperform / Sell), price target


Analysis Workflow

Step 1 — Establish the Screening Criteria

Value Criteria (at least 3 of 5 must pass):

  • P/E Ratio (TTM) < 20 (or < sector average if sector is cyclical)
  • Price/Book < 2.5
  • EV/EBITDA < 12
  • Price/FCF < 18
  • Enterprise Value / Revenue < 2.0

Dividend Quality Criteria (at least 3 of 4 must pass):

  • Dividend Yield ≥ 2.5%
  • Payout Ratio (dividends / earnings) < 65% (< 80% for REITs/utilities)
  • FCF Payout Ratio (dividends / free cash flow) < 75%
  • 5-Year dividend growth rate > 3% per year

Financial Health Criteria (must pass all):

  • Debt/Equity < 1.5 (exception: utilities, REITs can be up to 2.5)
  • Current Ratio > 1.0
  • Positive Free Cash Flow (FCF > 0 for 3 of last 3 years)

Step 2 — Compute Dividend Growth Rate

From the dividend history, compute CAGR over 5 years:

Dividend CAGR 5Y = (divPS_latest / divPS_5y_ago)^(1/5) - 1

If data is only available for 3 years, use 3-year CAGR and note the shorter history.

Step 3 — Score Each Stock (0–100)

Value Score (30 points max):

MetricScoring
P/E vs. sector median+10 if < 50th percentile, +5 if < 75th
P/B < 1.5+10 pts; P/B 1.5–2.5: +5 pts
EV/EBITDA < 8+10 pts; 8–12: +5 pts

Income Score (40 points max):

MetricScoring
Dividend Yield ≥ 4%+15; 3–4%: +10; 2.5–3%: +5
FCF Payout < 50%+15; 50–65%: +10; 65–75%: +5
Div. CAGR 5Y > 8%+10; 3–8%: +5; < 3%: +0

Financial Health Score (30 points max):

MetricScoring
D/E < 0.5+10; 0.5–1.0: +7; 1.0–1.5: +4
Current Ratio > 2+10; 1.5–2: +7; 1–1.5: +4
FCF Margin > 15%+10; 10–15%: +7; 5–10%: +4

Step 4 — Risk Flags

Auto-flag (remove from qualified list or flag prominently):

  • ❌ Dividend yield > 8% with payout ratio > 90%: Dividend at severe risk
  • ❌ FCF negative for 2+ consecutive years: Cannot fund dividend organically
  • ❌ D/E > 3.0 (non-financial): Balance sheet stress → dividend at risk
  • ⚠️ Dividend frozen (no growth) for > 3 years while yield is maintained by stock price decline

Step 5 — Produce Ranking

Rank qualifying stocks by total score (0–100). Present top 10 with:

  • Score breakdown
  • Dividend yield + 5Y CAGR
  • Key valuation metrics
  • Main risk flag if any

Output Format

╔══════════════════════════════════════════════════════════╗
║    VALUE & DIVIDEND SCREEN  —  {DATE}                   ║
║    Universe: {S&P 500 / User list}  |  Pass: {n}/{total}║
╚══════════════════════════════════════════════════════════╝

🏆 TOP QUALIFIED STOCKS (Ranked by Score)

Rank  Ticker  Score  Yield   DivCAGR  P/E    P/B  EV/EBITDA  Payout  D/E
────  ──────  ─────  ──────  ───────  ─────  ───  ─────────  ──────  ───
 #1   {TKR}   87/100  4.2%    6.8%   12.4x  1.8x   7.2x      45%    0.8
 #2   {TKR}   82/100  3.8%    9.1%   15.1x  2.1x   9.3x      52%    0.6
 #3   {TKR}   79/100  3.2%   11.5%   13.8x  1.5x   8.8x      38%    1.1
 ...

──────────────────────────────────────────────────────────────
HIGHLIGHTED PICK: {TICKER}

  Business:       {Company name, sector, brief description}
  Current Price:  ${price}  |  Market Cap: ${mktcap}

  VALUATION         DIVIDEND              FINANCIAL HEALTH
  P/E:   12.4x ✅   Yield:     4.2% ✅   D/E:         0.8 ✅
  P/B:    1.8x ✅   Payout:   45%   ✅   Current:    2.1x ✅
  EV/EB:  7.2x ✅   FCFPay:   52%   ✅   FCF Margin: 18% ✅
  P/FCF: 14.1x ✅   CAGR 5Y:  6.8% ✅   Debt/Cap:   36% ✅

  Dividend History: $1.20 → $1.40 → $1.55 → $1.68 → $1.80 → $1.92
  5-Year CAGR: 9.9%  |  Streak: {n} consecutive years of growth

  Analyst View: {Buy/Hold/Sell}  |  Price Target: ${target}  |  {n} analysts

  Score Breakdown:
    Value:  {28}/30  |  Income: {35}/40  |  Health: {24}/30  =  87/100

  Investment Thesis: {2-sentence summary of why this passes screening}
  Key Risk:  {1 sentence on main risk (e.g., "Cyclical revenue in automotive sector")}

──────────────────────────────────────────────────────────────
❌ FAILED SCREENER (Notable names that didn't qualify)
  {TICKER}: Fail — Payout ratio {95%} > 65%, dividend at risk
  {TICKER}: Fail — Negative FCF last 2 years

📊 SCREENING SUMMARY
  Passed all criteria:  {n} stocks
  Value + health only:  {n} stocks (no attractive yield)
  High yield only:      {n} stocks (value/health concerns)
  Failed all:           {n} stocks

Limitations

  • Screening 500 stocks requires many API calls; batch with Pro plan to avoid rate limiting.
  • Financial data is trailing/annual; may not reflect recent quarterly deterioration.
  • REITs, utilities, and MLPs have structurally higher payout ratios and debt — adjust thresholds.
  • International ADRs may have variable withholding taxes on dividends (not modeled here).

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