value-dividend-screener

value-dividend-screener is a skill for Claude Code from nicepkg/ai-workflow. It costs 102 tokens per session (4,174 once invoked), scanned A, a copy of value-dividend-screener, MIT.

A stock-screening skill that finds US companies combining lower valuation measures, dividend income, dividend growth, and other signs of financial quality.

In plain words
What is it for?
It screens for value-oriented dividend stocks and ranks candidates using valuation, income, growth, financial health, and profitability data.
Why use it?
It narrows a large stock universe using defined financial measures instead of requiring investors to inspect every company manually.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit It screens for value-oriented dividend stocks and ranks candidates using valuation, income, growth, financial health, and profitability data.

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Install with agentmods
npx agentmods add skills/nicepkg/ai-workflow/value-dividend-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 nicepkg/ai-workflow --skill value-dividend-screener
Clone the repo
git clone --depth 1 https://github.com/nicepkg/ai-workflow

Made for: Claude Code.

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 value-dividend-screener

README.md
[![agentmods](https://agentmods.dev/badge/skills/nicepkg/ai-workflow/value-dividend-screener.svg)](https://agentmods.dev/skills/nicepkg/ai-workflow/value-dividend-screener)
Your own site
<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/value-dividend-screener"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/value-dividend-screener.svg" alt="Measured on agentmods" height="20"></a>
Per session 102 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,174 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 98% 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 $0.00102 $0.04174
Opus 5 $0.00051 $0.02087
Sonnet 5 $0.00020 $0.00835
Haiku 4.5 $0.00010 $0.00417

Measured 4d ago against content hash 2dae190f1028, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

value-dividend-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 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/screen_dividend_stocks.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

98% identical to value-dividend-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.

workflows/stock-trader-workflow/.claude/skills/value-dividend-screener/SKILL.md · 563 lines

How it starts

The opening of the file, as written. The whole thing — 563 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Value Dividend Screener

Overview

This skill identifies high-quality dividend stocks that combine value characteristics, attractive income generation, and consistent growth using a two-stage screening approach:

  1. FINVIZ Elite API (Optional but Recommended): Pre-screen stocks with basic criteria (fast, cost-effective)
  2. Financial Modeling Prep (FMP) API: Detailed fundamental analysis of candidates

Screen US equities based on quantitative criteria including valuation ratios, dividend metrics, financial health, and profitability. Generate comprehensive reports ranking stocks by composite quality scores with detailed fundamental analysis.

Efficiency Advantage: Using FINVIZ pre-screening can reduce FMP API calls by 90%, making this approach ideal for free-tier API users.

When to Use

Invoke this skill when the user requests:

  • "Find high-quality dividend stocks"
  • "Screen for value dividend opportunities"
  • "Show me stocks with strong dividend growth"
  • "Find income stocks trading at reasonable valuations"
  • "Screen for sustainable high-yield stocks"
  • Any request combining dividend yield, valuation metrics, and fundamental analysis

Workflow

Step 1: Verify API Key Availability

For Two-Stage Screening (Recommended):

Check if both API keys are available:

import os
fmp_api_key = os.environ.get('FMP_API_KEY')
finviz_api_key = os.environ.get('FINVIZ_API_KEY')

If not available, ask user to provide API keys or set environment variables:

export FMP_API_KEY=your_fmp_key_here
export FINVIZ_API_KEY=your_finviz_key_here

For FMP-Only Screening:

Check if FMP API key is available:

import os
api_key = os.environ.get('FMP_API_KEY')

If not available, ask user to provide API key or set environment variable:

export FMP_API_KEY=your_key_here

FINVIZ Elite API Key:

  • Requires FINVIZ Elite subscription (~$40/month or ~$330/year)
  • Provides access to CSV export of pre-screened results
  • Highly recommended for reducing FMP API usage

Read the full file on GitHub · 563 lines

Files

What ships with it

3 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. 4d ago First seen · 563 lines · 102 tokens per session scan A 2dae190f1028

Subscribe to this mod's changes

value-dividend-screener is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 102 tokens to every session and 4,174 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to value-dividend-screener, differing in 4 lines, and is treated as a copy.

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