Financial Research
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV.
$ npx skills add gauss314/skills --skill marketwatch -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gauss314/skills marketwatch --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/gauss314/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/marketwatch .claude/skills/marketwatch && 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 "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .claude/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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/gauss314/skills/tree/main/skills/marketwatchType 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 gauss314/skills --skill marketwatch -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gauss314/skills marketwatch --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/marketwatch .agents/skills/marketwatch && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .agents/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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 gauss314/skills --skill marketwatch -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gauss314/skills marketwatch --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/marketwatch .cursor/skills/marketwatch && 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 "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .cursor/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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/gauss314/skills.git --path skills/marketwatch--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 gauss314/skills --skill marketwatch -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gauss314/skills marketwatch --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/marketwatch .gemini/skills/marketwatch && 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 "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .gemini/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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 gauss314/skills marketwatchInstalls 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 gauss314/skills --skill marketwatch -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/marketwatch .github/skills/marketwatch && 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 "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .github/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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 gauss314/skills --skill marketwatch -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gauss314/skills marketwatch --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gauss314/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/marketwatch .opencode/skills/marketwatch && 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 "marketwatch" agent skill from https://github.com/gauss314/skills/tree/main/skills/marketwatch into .opencode/skills/marketwatch/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "marketwatch", 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.
marketwatchScraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV.
Marketwatch is an agent skill from gauss314/skills. Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV. Sin API key.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including scripts and reference files (for example `references/REFERENCE.md` and `scripts/fetch_marketwatch.py`).
It sits in Data & Analytics, covering Web scraping and Financial analysis. It works with SEC EDGAR. The repository describes itself as: Financial market data consumption skills for claude code and AI agents. The licence is MIT.
Read from SKILL.md and the folder at commit 5156f81. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonpipFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
marketwatch.comFrom 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.
Marketwatch loads about 1.4k tokens when it runs, and up to ~8k if it reads all its reference files. Until then it costs about 40 tokens; SKILL.md has 463 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); the scripts in this folder are not scanned.
The full file from gauss314/skills at commit 5156f81, republished under its MIT licence (© gauss314). 463 words, ~1,417 tokens.
.claude/skills/marketwatch/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Scraper de MarketWatch que extrae quotes en tiempo real, financial statements (income, balance sheet, cash flow), SEC filings, analyst estimates, options chain y historical prices para acciones US y ADRs globales.
No requiere API key. Los datos se extraen del HTML de las páginas públicas.
pip install requests beautifulsoup4| Script | Descripción |
|---|---|
| fetch_marketwatch.py | Script principal: todos los endpoints |
# Quote + perfil de compañía
python scripts/fetch_marketwatch.py --ticker AAPL --quote --profile
# Income statement anual (por defecto)
python scripts/fetch_marketwatch.py --ticker MSFT --income
# Income statement trimestral
python scripts/fetch_marketwatch.py --ticker AAPL --income --quarterly
# Balance sheet + cash flow trimestral
python scripts/fetch_marketwatch.py --ticker NVDA --balance --cashflow --quarterly
# Todos los financials (income + balance + cashflow)
python scripts/fetch_marketwatch.py --ticker AAPL --financials
# SEC filings (10-K, 10-Q, 8-K)
python scripts/fetch_marketwatch.py --ticker AAPL --sec-filings
# Analyst estimates + target price
python scripts/fetch_marketwatch.py --ticker AAPL --analyst
# Options chain
python scripts/fetch_marketwatch.py --ticker AAPL --options
# Historical OHLCV
python scripts/fetch_marketwatch.py --ticker AAPL --historical
# Todo lo disponible
python scripts/fetch_marketwatch.py --ticker GGAL --all
# A JSON
python scripts/fetch_marketwatch.py --ticker AAPL --all --output aapl.json
# Control de rate limiting
python scripts/fetch_marketwatch.py --ticker AAPL --quote --delay 5| Flag | Data | Frecuencia | Períodos |
|---|---|---|---|
--quote | Precio, cambio, performance (5d, 1m, YTD) | Tiempo real | 1 snapshot |
--profile | Ratios clave, sector, industria, empleados | Actual | 1 snapshot |
--income | Income Statement | Anual / Trimestral | ~5 años |
--balance | Balance Sheet | Anual / Trimestral | ~5 años |
--cashflow | Cash Flow Statement | Anual / Trimestral | ~5 años |
--financials | Income + Balance + Cash Flow (atajo) | Según --quarterly | ~5 años |
--sec-filings | SEC filings (10-K, 10-Q, 8-K) | Histórico | ~20+ entradas |
--analyst | Estimaciones, target price, recomendaciones | Trimestral/anual | ~15+ campos |
--options | Options chain (calls/puts por strike) | Fechas de expiración | Todas disponibles |
--historical | OHLCV histórico diario | Diario | ~1-3 meses |
--all | Todos los anteriores | Según --quarterly | - |
Precio actual, cambio ($), cambio (%), Close anterior, y tabla de performance (5 Day, 1 Month, 3 Month, YTD, 1 Year).
Hasta 29 ratios financieros incluyendo: P/E Current, P/E Ratio, EPS, Market Cap, Shares Outstanding, Revenue/Employee, Employees, Dividend Yield, Beta, etc.
Cada statement contiene ~40-60 items (Revenue, COGS, Gross Profit, Operating Income, Net Income, EBITDA, EPS, etc. para income; Cash, Receivables, Total Assets, Debt, Equity, etc. para balance sheet; Operating Cash Flow, Free Cash Flow, Capex, etc. para cash flow).
Listado de filings con: Filing Date, Document Date, Type (10-K, 10-Q, 8-K), Category.
Average Recommendation, Average Target Price, Number of Ratings, High/Median/Low target, Current/Next Year Estimates, y tabla de cambios de rating por firma.
Options chain organizada por fecha de expiración con calls y puts, strikes, precios, volumen, open interest.
OHLCV diario con Date, Open, High, Low, Close, Volume (últimos ~60 días).
MarketWatch usa Datadome para protegerse de scraping automatizado.
| Situación | Síntoma | Solución |
|---|---|---|
| Muchos requests seguidos | 401 Unauthorized | Aumentar --delay (mín 3s, ideal 5s) |
| IP bloqueada temporalmente | 401 incluso con delay | Esperar 5-10 minutos |
| Headers incorrectos | 401 inmediato | Usar headers de navegador (ya incluidos) |
| Sin session cookies | 401 | El scraper maneja cookies automáticamente |
Recomendación: No más de 4-5 endpoints por ticker por ejecución.
skills/marketwatch/
├── SKILL.md # Este archivo
├── references/
│ └── REFERENCE.md # Documentación completa de todos los endpoints
└── scripts/
└── fetch_marketwatch.py # Script principal📖 Referencia completa: Para entender en detalle cada endpoint, columnas de options, campos de financials, estructura de historical data, etc., consultá references/REFERENCE.md.
© gauss314, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (scripts, references) in skills/marketwatch of gauss314/skills.
Open the folder on GitHubat commit 5156f81
Marketwatch 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 |
|---|---|---|---|---|---|---|
| Marketwatch this skillgauss314/skills | 248 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Financial Researchfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Eastmoney Market DataHKUDS/Vibe-Trading | 35k | — | ~1k | Automated safety check: Pass | MIT | |
| SEC EDGAR Filings FetcherHKUDS/Vibe-Trading | 35k | — | ~1.4k | Automated safety check: Pass | MIT | |
| US Market Data ToolkitGeeksfino/finskills | 282 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Financial Statement Deep DiveGeeksfino/finskills | 282 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
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
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.
Geeksfino/finskills
Free Python scripts that fetch US stock data, SEC filings, insider trades and macro indicators, and run financial score calculators and portfolio analytics.
Geeksfino/finskills
Runs a forensic review of one company's financial statements covering DuPont profitability, earnings quality, financial health scores and fraud-risk signals.
agent-skills-hub/agent-skills-hub
Python library for accessing, analyzing, and extracting data from SEC EDGAR filings.
gauss314/skills
Academic backtesting framework for quantitative research. An agent skill from gauss314/skills.
gauss314/skills
Datos de Google Finance via batchexecute (API RPC interna sin auth ni API key).
gauss314/skills
History of Market (historyofmarket.com) — API publica con 88 datasets historicos de indices US desde 1871.
gauss314/skills
Datos macro y sociales de Argentina via la API oficial Series de Tiempo del Estado (apis.datos.gob.ar/series).
gauss314/skills
Morningstar Screener via API JSON publica: descarga masiva de 53 universes (102K+ listings, 39 paises, NYSE/Nasdaq/BCBA/etc) con 33 campos (precio, market cap, ratios, retornos…
gauss314/skills
Pricing completo de opciones europeas y americanas. An agent skill from gauss314/skills.
Works with
Categories
Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV. Marketwatch is an agent skill from gauss314/skills. Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV.
Marketwatch fits situations like: tasks that involve Web scraping; tasks that involve Financial analysis.
Run `npx skills add gauss314/skills --skill marketwatch -a claude-code`. Or copy the skill folder (skills/marketwatch in gauss314/skills) into .claude/skills/marketwatch in your project. Claude Code loads it when a task matches its description.
Run `npx skills add gauss314/skills --skill marketwatch -a codex`. Or copy the skill folder (skills/marketwatch in gauss314/skills) into .agents/skills/marketwatch 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 gauss314/skills --skill marketwatch -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/marketwatch, .gemini/skills/marketwatch, .github/skills/marketwatch and .opencode/skills/marketwatch in your project.
Going by SKILL.md and its folder, Marketwatch needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: marketwatch.com. 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Marketwatch is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Marketwatch: Financial Research (firecrawl/web-agent, 1.2k stars), Eastmoney Market Data (HKUDS/Vibe-Trading, 35k stars), SEC EDGAR Filings Fetcher (HKUDS/Vibe-Trading, 35k stars) and US Market Data Toolkit (Geeksfino/finskills, 282 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
gauss314 (a GitHub user) maintains it in gauss314/skills, which has 248 GitHub stars. The repository holds 32 skills in this directory. The repository was last updated on June 14, 2026.
Source: gauss314/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.