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.
npx skills add nicepkg/ai-workflow --skill dividend-growth-pullback-screenergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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.
[](https://agentmods.dev/skills/nicepkg/ai-workflow/dividend-growth-pullback-screener)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/dividend-growth-pullback-screener"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/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.
<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/dividend-growth-pullback-screener"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/dividend-growth-pullback-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.02901 |
| Opus 5 | $0.00039 | $0.01451 |
| Sonnet 5 | $0.00016 | $0.00580 |
| Haiku 4.5 | $0.00008 | $0.00290 |
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 5d ago.
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.
This is a copy
83% identical to dividend-growth-pullback-screener — 39 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.
How it starts
The opening of the file, as written. The whole thing — 323 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)
Screening Workflow
Step 1: Set API Keys
Two-Stage Approach (RECOMMENDED)
For optimal performance, use FINVIZ Elite API for pre-screening + FMP API for detailed analysis:
# Set both API keys as environment variables
export FMP_API_KEY=your_fmp_key_here
export FINVIZ_API_KEY=your_finviz_key_here
Why Two-Stage?
- FINVIZ: Fast pre-screening with RSI filter (1 API call → ~10-50 candidates)
- FMP: Detailed fundamental analysis only on pre-screened candidates
- Result: Analyze more stocks with fewer FMP API calls (stays within free tier limits)
What ships with it
4 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.
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.
- 5d ago First seen · 323 lines · 78 tokens per session scan A e8db3a456533
dividend-growth-pullback-screener is a skill published in the GitHub repository nicepkg/ai-workflow (282 stars, last pushed 7mo ago), licensed MIT. It adds 78 tokens to every session and 2,901 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to dividend-growth-pullback-screener, differing in 39 lines, and is treated as a copy.
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