dividend-growth-pullback-screener

dividend-growth-pullback-screener is a skill for Claude Code from mphinance/alpha-skills. It costs 78 tokens per session (3,288 once invoked), scanned A, a copy of dividend-growth-pullback-screener, MIT.

A stock screener for companies that regularly raise dividends and whose prices have recently weakened. RSI is a price-momentum measure; this screener uses a reading of 40 or below to identify potentially oversold stocks.

In plain words
What is it for?
Finding possible long-term dividend-growth investments with at least 12% annual dividend growth, at least 1.5% yield, and an RSI of 40 or below.
Why use it?
It narrows a large market to dividend-growth companies that may be temporarily out of favor, instead of requiring manual checks of both company fundamentals and price momentum.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the quant-skills plugin — 20 skills shipped together

Good fit Finding possible long-term dividend-growth investments with at least 12% annual dividend growth, at least 1.5% yield, and an RSI of 40 or below.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mphinance/alpha-skills/dividend-growth-pullback-screener
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mphinance/alpha-skills --skill dividend-growth-pullback-screener
Clone the repo
git clone --depth 1 https://github.com/mphinance/alpha-skills

Made for: Claude Code.

Or install quant-skills, the plugin that ships this one along with the rest of its 20 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dividend-growth-pullback-screener

README.md
[![agentmods](https://agentmods.dev/badge/skills/mphinance/alpha-skills/dividend-growth-pullback-screener/github.svg)](https://agentmods.dev/skills/mphinance/alpha-skills/dividend-growth-pullback-screener)
Your own site
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/dividend-growth-pullback-screener"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/dividend-growth-pullback-screener/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for dividend-growth-pullback-screener

Your own site · 80×15
<a href="https://agentmods.dev/skills/mphinance/alpha-skills/dividend-growth-pullback-screener"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/dividend-growth-pullback-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 91% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00078 $0.03288
Opus 5 $0.00039 $0.01644
Sonnet 5 $0.00016 $0.00658
Haiku 4.5 $0.00008 $0.00329

Measured 12d ago against content hash 329e8871fcb5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

dividend-growth-pullback-screener scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/screen_dividend_growth_rsi.py, scripts/tests/test_screen_dividend_growth_rsi.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

91% identical to dividend-growth-pullback-screener — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/quant-skills/skills/dividend-growth-pullback-screener/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dividend Growth Pullback Screener

Overview

This skill screens for dividend growth stocks that exhibit strong fundamental characteristics but are experiencing temporary technical weakness. It targets stocks with exceptional dividend growth rates (12%+ CAGR) that have pulled back to RSI oversold levels (≤40), creating potential entry opportunities for long-term dividend growth investors.

Investment Thesis: High-quality dividend growth stocks (often yielding 1-2.5%) compound wealth through dividend increases rather than high current yield. Buying these stocks during temporary pullbacks (RSI ≤40) can enhance total returns by combining strong fundamental growth with favorable technical entry timing.

When to Use This Skill

Use this skill when:

  • Looking for dividend growth stocks with exceptional compounding potential (12%+ dividend CAGR)
  • Seeking entry opportunities in quality stocks during temporary market weakness
  • Willing to accept lower current yields (1.5-3%) for higher dividend growth
  • Focusing on total return over 5-10 years rather than current income
  • Market conditions show sector rotations or broad pullbacks affecting quality names

Do NOT use when:

  • Seeking high current income (use value-dividend-screener instead)
  • Requiring immediate dividend yields >3%
  • Looking for deep value plays with strict P/E or P/B requirements
  • Short-term trading focus (<6 months)

Prerequisites

  • FMP API key (required): Set FMP_API_KEY environment variable or pass --fmp-api-key. Free tier (250 calls/day) is sufficient for FMP-only mode (≤40 stocks). Sign up.
  • FINVIZ Elite API key (optional, recommended): Set FINVIZ_API_KEY environment variable or pass --finviz-api-key. Reduces execution time from 10–15 min to 2–3 min. Sign up.
  • Python 3.8+ with requests and pandas libraries installed.

Screening Workflow

Step 1: Set API Keys

Two-Stage Approach (RECOMMENDED)

Read the full file on GitHub · 346 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 346 lines · 78 tokens per session scan A 329e8871fcb5

Subscribe to this mod's changes

dividend-growth-pullback-screener is a skill published in the GitHub repository mphinance/alpha-skills (22 stars, last pushed 14d ago), licensed MIT. It adds 78 tokens to every session and 3,288 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to dividend-growth-pullback-screener, differing in 4 lines, and is treated as a copy.

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