Agent skill · Backend & API

marketwatch

Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV. Sin API key.

Juanpy170★ · +3/wk · 1 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add gauss314/skills --skill marketwatch --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 6 KB
Bundled scripts: yes
Path: skills/marketwatch/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 172 · +2 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# MarketWatch — Financial Data Scraper Scraper de [MarketWatch](https://www.marketwatch.com/) 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. --- ## ⚠️ Aviso

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About this skill
What does the marketwatch skill do?

Scraper de MarketWatch: quotes, financials (income/balance/cash flow), SEC filings, analyst estimates, options chain, historical OHLCV. Sin API key.

How do I install it?

Run `npx skills add gauss314/skills --skill marketwatch --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From gauss314/skills, a repository with 172 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going