Vibe-Trading is a personal trading agent that gives an AI system tools for market analysis, algorithmic trading, backtesting, and related workflows. It is for users who want an agent to research and evaluate trading strategies or manage simulated and other trading activities. The catalogue contains skills that expose these trading capabilities to compatible agents.
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 HKUDS/Vibe-Trading --skill dividend-analysisgit clone --depth 1 https://github.com/HKUDS/Vibe-TradingWrote 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/hkuds/vibe-trading/dividend-analysis)<a href="https://agentmods.dev/skills/hkuds/vibe-trading/dividend-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/dividend-analysis/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/hkuds/vibe-trading/dividend-analysis"><img src="https://agentmods.dev/badge/skills/hkuds/vibe-trading/dividend-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 191 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00036 | $0.01754 |
| Opus 5 | $0.00018 | $0.00877 |
| Sonnet 5 | $0.00007 | $0.00351 |
| Haiku 4.5 | $0.00004 | $0.00175 |
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 10d 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:
- dividend-analysis — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dividend Analysis
Purpose
Use this skill when the user asks about dividend stocks, income portfolios, dividend growth, high-yield screening, payout safety, ex-dividend dates, or whether a dividend is sustainable. The goal is to separate durable shareholder returns from yield traps.
Dividend analysis should never stop at headline yield. A good answer explains how the dividend is funded, how stable the underlying business is, whether management has room to keep paying, and how valuation changes the expected total return.
Core Questions
- What is the current cash yield, and is it normal for this company or sector?
- Is the payout covered by earnings, operating cash flow, and free cash flow?
- Is the balance sheet strong enough to absorb a down cycle?
- Has management grown, held, cut, or suspended the dividend across cycles?
- Does the valuation still leave room for total return after taxes and reinvestment assumptions?
Key Metrics
| Metric | Formula | Healthy Signal | Warning Signal |
|---|---|---|---|
| Dividend yield | annual DPS / current price | Above peer median with stable coverage | Extremely high vs history or peers |
| Earnings payout ratio | dividends / net income, or DPS / EPS | 30-70% for mature non-financials | Above 90%, negative earnings |
| Free-cash-flow payout | dividends / FCF | Below 70% through a cycle | Dividend exceeds FCF for 2+ years |
| CFO coverage | operating cash flow / dividends paid | Above 1.5x | Below 1.0x |
| Dividend CAGR | DPS growth over 3/5/10 years | Positive and below EPS/FCF growth | Growth funded by leverage |
| Net debt / EBITDA | net debt / EBITDA | Sector-appropriate leverage | Leverage rising while payout rises |
| Buyback plus dividend yield | (dividends + net buybacks) / market cap | Balanced capital return | Buybacks funded by debt at high valuation |
For REITs, utilities, banks, MLPs, and insurers, adapt the payout metric to the sector. For example, use AFFO payout for REITs, distributable cash flow for MLPs, and regulatory capital ratios for banks and insurers.
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.
- 10d ago First seen · 197 lines · 36 tokens per session scan A e8e149f3dab9
dividend-analysis is a skill published in the GitHub repository HKUDS/Vibe-Trading (33,085 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 1,754 once invoked, about $0.0002 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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