Agent skill · Data & Analytics

nasdaq-data

Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.

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

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

Facts
Files in the skill folder: 3
SKILL.md size: 7 KB
Bundled scripts: yes
Path: skills/nasdaq-data/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

# Nasdaq — Datos de Mercado via API Interna Skill para extraer datos de [Nasdaq.com](https://www.nasdaq.com/market-activity/stocks) usando sus **APIs REST internas** — sin API key, sin autenticacion, sin rate limiting agresivo. --- ## ⚠️ Aviso Legal - Nasdaq **no tiene API publica oficial** gratuita. Estos endpoints son **internos** y pueden cambiar sin aviso. - Implementar **rate limiting** (mini

More from skills
All skills →
About this skill
What does the nasdaq-data skill do?

Scraper de datos de Nasdaq.com via API REST interna: cotizaciones, short interest, financials, institutional holdings, opciones, noticias. Sin API key.

How do I install it?

Run `npx skills add gauss314/skills --skill nasdaq-data --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