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 agentmods add skills/yennanliu/investskill/dividend-analysisnpx skills add yennanliu/InvestSkill --skill dividend-analysisgit clone --depth 1 https://github.com/yennanliu/InvestSkillWrote 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/yennanliu/investskill/dividend-analysis)<a href="https://agentmods.dev/skills/yennanliu/investskill/dividend-analysis"><img src="https://agentmods.dev/badge/skills/yennanliu/investskill/dividend-analysis.svg" alt="Measured on agentmods" 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 | $0.00021 | $0.07317 |
| Opus 5 | $0.00010 | $0.03658 |
| Sonnet 5 | $0.00004 | $0.01463 |
| Haiku 4.5 | $0.00002 | $0.00732 |
Grade A, and why
dividend-analysis 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 6d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- data-model-radar — 86% identical, 1,365 lines differ
How it starts
The opening of the file, as written. The whole thing — 666 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capital Allocation Analysis (Dividend, Buyback, M&A & FCF Deployment)
⚠️ Data Verification — Do This Before Any Analysis
Before running any analysis, always retrieve the latest market data for the ticker:
- Fetch current price — use web search or ask the user for the live price, 52-week range, and market cap. Never assume a price from training data.
- Confirm key figures — recent earnings, revenue, key ratios (P/E, P/S, etc.) as applicable to this skill.
- State your data source — note where the numbers came from (e.g., "Google Finance, June 19 2026") at the top of the output.
- Flag stale data explicitly — if live data is unavailable, display this warning before proceeding:
⚠️ Live data unavailable. The following analysis uses training-data estimates which may be significantly out of date. Verify all prices and metrics before making any decisions.
Never silently substitute training-data estimates for current prices. When in doubt, ask the user to paste the latest quote.
Comprehensive capital allocation analysis covering dividend safety, growth trajectory, share buyback discipline, M&A track record, debt management, and FCF deployment quality for US-listed stocks, REITs, and income-focused portfolios.
Analysis Framework
1. Dividend Safety Analysis
Assess the reliability and sustainability of the dividend:
Payout Ratio Analysis
- EPS-based payout ratio: Dividends per share / Earnings per share. Simple but earnings can be distorted by non-cash items.
- FCF-based payout ratio: Dividends paid / Free cash flow. More reliable measure — cash must be available to actually pay dividends.
- AFFO payout ratio (REITs): Dividends / Adjusted Funds From Operations. Standard metric for REITs since depreciation distorts net income.
Safety Thresholds by Sector
Sector Very Safe Moderate Elevated Danger
General (FCF) <50% 50-70% 70-85% >85%
Utilities (FCF) <60% 60-75% 75-85% >85%
REITs (AFFO) <70% 70-80% 80-90% >90%
Banks (Earnings) <30% 30-40% 40-55% >55%
MLPs (DCF) <60% 60-75% 75-90% >90%
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.
- 6d ago First seen · 666 lines · 21 tokens per session scan A 163aa522bf74
dividend-analysis is a skill published in the GitHub repository yennanliu/InvestSkill (199 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 7,317 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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chart-annotation
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