Agent skill · Data & Analytics

cboe-data

Datos de CBOE via APIs publicas: cotizaciones delayed de indices, futuros VX, charts intraday, most-active, market summary (equities + opciones), symbol lookup, futures products. Sin API key.

Juanpy170★ · +3/wk · 1 repos on radarProfile →
claude-codeships scriptsMIT
Install
npx skills add gauss314/skills --skill cboe-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: 16 KB
Bundled scripts: yes
Path: skills/cboe-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

# CBOE — Datos de Mercado via API Publica Skill para extraer datos de [CBOE](https://www.cboe.com/us/options/market-statistics/) usando sus **APIS publicas** — sin API key, sin autenticacion. --- ## ⚠️ Aviso Legal - CBOE no tiene API publica oficial gratuita. Estos endpoints son **publicos** y pueden cambiar sin aviso. - Respetar los **terminos de servicio** del sitio. No hacer mas de 1 request/se

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About this skill
What does the cboe-data skill do?

Datos de CBOE via APIs publicas: cotizaciones delayed de indices, futuros VX, charts intraday, most-active, market summary (equities + opciones), symbol lookup, futures products. Sin API key.

How do I install it?

Run `npx skills add gauss314/skills --skill cboe-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.

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