value-dividend-screener SKILL.md skillA
value-dividend-screener from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nicepkg/ai-workflow/value-dividend-screener@git:20260118.be84779Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nicepkg/ai-workflow
- Path
workflows/stock-trader-workflow/.claude/skills/value-dividend-screener/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260118.be84779, committed Jan 18, 2026
- Size
- 16,856 bytes
- Repository stars
- 291
- License
- MIT
Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 …
Read the whole file at its exact version.
How to install
mdr add nicepkg/ai-workflow/value-dividend-screener@sha256:2dae190f10289177The line at the top of this page pins the label git:20260118.be84779, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5a5xwfg2vgsu3xws)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 18, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (16856 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5a5xwfg2vgsu3xws GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/value-dividend-screener GET https://markdownregistry.com/api/v1/blob/2dae190f10289177640e6cfe3a8076a274b5c23be1cdde02225a485c9ec8a835
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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