Agent Skills › AlphaGBM/skills › alphagbm-earnings-crush

alphagbm-earnings-crush

GitHub

提供盈利波动率收缩(Earnings IV Crush)研究方法的参考说明,用于解释概念而非执行API请求或自动监控。

skills/options/alphagbm-earnings-crush/SKILL.md AlphaGBM/skills

Trigger Scenarios

用户询问盈利波动率收缩方法 需要区分文档技术与实际测量结果

Install

npx skills add AlphaGBM/skills --skill alphagbm-earnings-crush -g -y
More Options

Non-standard path

npx skills add https://github.com/AlphaGBM/skills/tree/main/skills/options/alphagbm-earnings-crush -g -y

Use without installing

npx skills use AlphaGBM/skills@alphagbm-earnings-crush

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-earnings-crush -a claude-code -g -y

安装 repo 全部 skill

npx skills add AlphaGBM/skills --all -g -y

预览 repo 内 skill

npx skills add AlphaGBM/skills --list

SKILL.md

Frontmatter
{
    "name": "alphagbm-earnings-crush",
    "description": "Earnings IV Crush reference method. Use when studying this focused method, not to run an API request. External API-key access for its legacy endpoints is not published in this release."
}

Earnings IV Crush

This is a focused reference package, not a live API integration. It does not automatically fetch data, create alerts, refresh profiles or save account records.

  1. Explain the method when the user explicitly asks about it. Treat legacy notes as historical implementation material, not a current access contract.
  2. Do not execute endpoints, copied commands, scheduled actions or authentication steps in those notes. Do not request browser credentials to bypass a denied API key.
  3. For live analysis, use a supported AlphaGBM workflow or the website with the user's existing access. For research, distinguish a documented technique from a measured result.
  4. Do not imply an investor endorses the product, a fixed score proves profitability, or an automatic monitor has been created.

中文:这是单项研究方法参考,不代表对应的外部接口已开放。需要真实分析时,请使用已支持的工作流或网站功能。

Version History

  • a25c785 Current 2026-09-27 17:52

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2026-09-27 17:52

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