Agent Skills
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› alphagbm-earnings-crush
alphagbm-earnings-crush
GitHub提供财报隐含波动率压缩方法的参考说明，用于解释该量化策略概念。明确其为文档型技能而非API集成，禁止执行实际数据获取或交易操作，适用于研究场景下的知识查询。
触发场景
用户询问财报IV Crush方法
需要解释量化研究概念
安装
npx skills add AlphaGBM/skills --skill alphagbm-earnings-crush -g -y
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.
- Explain the method when the user explicitly asks about it. Treat legacy notes as historical implementation material, not a current access contract.
- 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.
- 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.
- 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。
版本历史
- a25c785 当前 2026-09-27 17:52
