AI-Trader Market Intel
HKUDS/AI-Trader
Reads AI-Trader's read-only market snapshots, grouped financial news and events board through its market-intel endpoints, for context before trading or posting.
Separates durable dividends from yield traps by checking yield quality, payout coverage, balance sheet strength, dividend history and valuation, with sector-specific payout measures.
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading dividend-analysis --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/dividend-analysis .claude/skills/dividend-analysis && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .claude/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysisType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading dividend-analysis --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/dividend-analysis .agents/skills/dividend-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .agents/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading dividend-analysis --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/dividend-analysis .cursor/skills/dividend-analysis && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .cursor/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/HKUDS/Vibe-Trading.git --path agent/src/skills/dividend-analysis--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading dividend-analysis --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/dividend-analysis .gemini/skills/dividend-analysis && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .gemini/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install HKUDS/Vibe-Trading dividend-analysisInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/dividend-analysis .github/skills/dividend-analysis && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .github/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading dividend-analysis --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/dividend-analysis .opencode/skills/dividend-analysis && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dividend-analysis" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/dividend-analysis into .opencode/skills/dividend-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dividend-analysis", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
dividend-analysisSeparates durable dividends from yield traps by checking yield quality, payout coverage, balance sheet strength, dividend history and valuation, with sector-specific payout measures.
Analysis never stops at the headline yield. The agent asks whether the payout is covered by earnings, operating cash flow and free cash flow, whether the balance sheet can survive a downturn, how management has treated the dividend through cycles, and whether valuation still leaves room for total return after taxes and reinvestment. A metrics table gives formulas with healthy and warning signals for yield, earnings payout, free-cash-flow payout, cash flow coverage, dividend growth, debt load and combined buyback and dividend yield.
Payout measures are adapted for REITs, utilities, banks, MLPs and insurers, for example AFFO payout for REITs and distributable cash flow for MLPs. The workflow begins by normalizing the dividend: using the forward indicated amount, separating special from ordinary dividends, identifying the payment frequency, and accounting for depositary ratios, withholding tax and currency for ADRs and cross-listed shares.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 14cabaf. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Dividend Stock Analysis loads about 2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 912 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from HKUDS/Vibe-Trading at commit 14cabaf, republished under its MIT licence (© HKUDS). 912 words, ~2,025 tokens.
.claude/skills/dividend-analysis/SKILL.md (or your agent's skills folder).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.
| 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.
annual_dividend = regular_dividend_per_period * payments_per_year
dividend_yield = annual_dividend / current_priceStart with earnings coverage, then confirm with cash coverage.
earnings_payout = dividends_paid / net_income
fcf_payout = dividends_paid / free_cash_flow
cfo_coverage = operating_cash_flow / dividends_paidInterpretation:
Dividend growth is high quality when it follows business growth.
dividend_cagr = (dps_end / dps_start) ** (1 / years) - 1
eps_cagr = (eps_end / eps_start) ** (1 / years) - 1
fcf_cagr = (fcf_end / fcf_start) ** (1 / years) - 1Quality rules:
Look for the ability to maintain dividends during stress.
| Item | Why It Matters |
|---|---|
| Cash and short-term investments | Near-term cushion |
| Net debt / EBITDA | Debt burden against operating earnings |
| Interest coverage | Ability to service debt before shareholder returns |
| Debt maturity wall | Refinancing risk in high-rate environments |
| Credit rating or covenant language | External constraints on payout policy |
Dividend stocks can underperform if the yield comes from a falling price. Always connect income to valuation and growth.
expected_total_return = dividend_yield + expected_eps_growth + valuation_reratingDo not present this as a guarantee. Use it as a scenario framework.
Flag a potential yield trap when several of these are true:
Prioritize moderate yield, strong dividend CAGR, low payout ratio, and durable business quality.
Good for users seeking compounding and lower cut risk.
Prioritize yield, but require cash coverage, balance sheet resilience, and sector-aware payout norms.
Good for users seeking current income, but the answer must discuss cut risk.
Combine dividends, net buybacks, and debt reduction.
Useful when companies return capital mostly through buybacks rather than cash dividends.
shareholder_yield = dividend_yield + net_buyback_yield + debt_paydown_yieldBuying before the ex-dividend date only to collect the dividend is not a free-money strategy. Prices usually adjust around the ex-dividend date, and taxes, spreads, and slippage can erase the gross dividend.
Use this only as an event-risk analysis, not as a default recommendation.
| Market | Useful Fields |
|---|---|
| A-shares | Tushare dividend, daily_basic.dv_ttm, fina_indicator, cashflow |
| US/HK | yfinance Ticker.dividends, Ticker.info, financial statements, cash flow |
| ETFs | distribution yield, SEC yield, holdings yield, expense ratio, distribution history |
| REITs | FFO, AFFO, occupancy, debt maturities, AFFO payout |
When live data is unavailable, state the limitation and provide the analysis template instead of inventing dividend figures.
### Dividend Analysis: [ticker/company]
**Verdict:** [sustainable / watchlist / yield-trap risk]
| Metric | Value | Interpretation |
|--------|-------|----------------|
| Dividend yield | ... | ... |
| Earnings payout | ... | ... |
| FCF payout | ... | ... |
| Dividend growth | ... | ... |
| Balance sheet | ... | ... |
**What supports the dividend**
- ...
**What could break the dividend**
- ...
**Scenario view**
- Base: ...
- Downside: ...
- Upside: ...
**Research note:** This is investment research, not live trading advice.© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in agent/src/skills/dividend-analysis of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit 14cabaf
Dividend Stock Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dividend Stock Analysis this skillHKUDS/Vibe-Trading | 35k | — | ~2k | Automated safety check: Pass | MIT | |
| AI-Trader Market IntelHKUDS/AI-Trader | 23k | — | ~1.1k | Automated safety check: Pass | None | |
| Stock Deep Analysis Workflowwbh604/UZI-Skill | 7.1k | — | ~9.1k | Automated safety check: Notes | MIT | |
| Zhengxi Fund Manager Views Librarylyra81604/zhengxi-views | 1.7k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Supply Chain Bottleneck Hunterxbtlin/ai-berkshire | 17k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Deep Company Article Seriesxbtlin/ai-berkshire | 17k | — | ~2k | Automated safety check: Pass | MIT |
HKUDS/AI-Trader
Reads AI-Trader's read-only market snapshots, grouped financial news and events board through its market-intel endpoints, for context before trading or posting.
wbh604/UZI-Skill
Runs a staged deep analysis of a single stock on China A-share, Hong Kong and US markets, ending in an HTML report with valuation models and investor-panel scores.
lyra81604/zhengxi-views
Answers questions with sourced quotes from one Chinese fund manager's public writings, applies his stated investment method and compares his words with real fund holdings.
xbtlin/ai-berkshire
Scans a long-running industry trend for supply chain chokepoints, aiming to find second- and third-layer suppliers that the market has not yet priced in.
xbtlin/ai-berkshire
Plans and writes a three-to-eight-part long-form article series that breaks down one company, built on fact-checked financials, valuation and management analysis.
helsome/folio
Earnings analysis — pre- and post-earnings. An agent skill from helsome/folio.
HKUDS/Vibe-Trading
Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news.
HKUDS/Vibe-Trading
Retrieves public OKX cryptocurrency market data such as spot prices, candlesticks, funding rates and open interest through the OKX V5 REST API, with no authentication.
HKUDS/Vibe-Trading
Fetches U.S. SEC EDGAR data: resolves tickers to CIK numbers, lists recent 10-K, 10-Q and 8-K filings with document URLs, and pulls XBRL financial series.
HKUDS/Vibe-Trading
Predicts whether a mainland China A-share company risks an ST or *ST warning after its next annual report, using financial thresholds and Sina penalty records.
HKUDS/Vibe-Trading
Breaks a structural trend such as AI infrastructure into its physical supply chain and ranks lesser-known listed companies sitting on each bottleneck.
HKUDS/Vibe-Trading
Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting.
Categories
Separates durable dividends from yield traps by checking yield quality, payout coverage, balance sheet strength, dividend history and valuation, with sector-specific payout measures. Analysis never stops at the headline yield. The agent asks whether the payout is covered by earnings, operating cash flow and free cash flow, whether the balance sheet can survive a downturn, how management has treated the dividend through cycles, and whether valuation still leaves room for total return after taxes and reinvestment.
Dividend Stock Analysis fits situations like: screening for high-yield stocks without falling into yield traps; checking whether a company's dividend is covered by free cash flow; planning an income or dividend-growth portfolio; working out ex-dividend mechanics and dividend normalization for ADRs.
Run `npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a claude-code`. Or copy the skill folder (agent/src/skills/dividend-analysis in HKUDS/Vibe-Trading) into .claude/skills/dividend-analysis in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a codex`. Or copy the skill folder (agent/src/skills/dividend-analysis in HKUDS/Vibe-Trading) into .agents/skills/dividend-analysis in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill dividend-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dividend-analysis, .gemini/skills/dividend-analysis, .github/skills/dividend-analysis and .opencode/skills/dividend-analysis in your project.
SKILL.md names no scripts, command-line tools or credentials: Dividend Stock Analysis is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Dividend Stock Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 8.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Dividend Stock Analysis: AI-Trader Market Intel (HKUDS/AI-Trader, 23k stars), Stock Deep Analysis Workflow (wbh604/UZI-Skill, 7.1k stars), Zhengxi Fund Manager Views Library (lyra81604/zhengxi-views, 1.7k stars) and Supply Chain Bottleneck Hunter (xbtlin/ai-berkshire, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 34,949 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 8, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.