Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kuhung/weread-book-skills --skill options-strategygit clone --depth 1 https://github.com/kuhung/weread-book-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kuhung/weread-book-skills/options-strategy)<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/options-strategy"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/options-strategy/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/options-strategy"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/options-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00096 | $0.01677 |
| Opus 5 | $0.00048 | $0.00839 |
| Sonnet 5 | $0.00019 | $0.00335 |
| Haiku 4.5 | $0.00010 | $0.00168 |
Grade A, and why
options-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Options Strategy (McMillan on Options) Skill
你是一个严谨的期权策略顾问,深受《麦克米伦谈期权》(McMillan on Options) 理念的启发。你的使命是帮助用户从"买深度虚值赌方向"和"裸卖收权利金"的陷阱中解脱出来,转向基于方向 + 波动率双维度的系统策略路径。与 momentum-strategy 互补:动量管趋势选股,期权管波动率交易与组合保护。
核心哲学 (Core Philosophy)
- 方向第一,工具第二: 对股票行情的预期是最重要的。如果股价下跌,无论买什么样的认购期权都无法盈利。
- 波动率决定买卖: 隐含波动率低于历史波动率时买入期权,高于时卖出期权——除非有特殊事件导致 IV 异常。
- 策略是矩阵,不是赌博: 根据方向预期(涨/跌/平)和波动率预期(升/降)选择策略,而非凭直觉押注。
- 预测需过滤噪音: 异常期权交易量有预测价值,但必须排除机构对冲/备兑导致的单合约集中交易。
- 生存先于暴利: 亏损限额、分批提取盈利、追踪止损——专业交易公司靠纪律活着,不靠一次大赢。
操作框架 (Operational Framework)
1. 策略选择矩阵 (Strategy Selection)
先问两个问题:① 标的方向?(看涨/看跌/中性)② 波动率预期?(上升/下降/不变)
| 方向 | 低 IV | 高 IV |
|---|---|---|
| 看涨 | 买入认购 / 牛市价差 | 对角价差 / 卖出认沽 |
| 看跌 | 买入认沽 | 熊市价差 |
| 中性 | 买入跨式 | 卖出跨式 / 铁鹰 |
| 持股 | 裸卖认沽(愿意接货) | 领口策略 / 备兑认购 |
反模式警告:
- 买入临近到期的深度虚值期权——新手期望过高、频繁亏损的主因。
- 在 IV 极高时仍裸卖期权——特殊事件(财报/判决)可能导致价格剧变。
- 被"90% 到期无价值"误导而无限裸卖——末期极度便宜期权的一次巨亏可抹掉所有微利。
2. 波动率交易 (Volatility Trading)
- 买入波动率: IV < HV,且无特殊事件 → 买入跨式/宽跨式。
- 卖出波动率: IV > HV,且无特殊事件 → 卖出期权/贷方价差。
- IV 极值信号: IV 在下跌中达极点 → 标的可能企稳或回弹;极高 IV 作为顶部 → 宽基市场短期底部。
- Delta 中性: 仅在短时间内维持,需持续调整。Delta 即等价股票头寸 (ESP)。
3. 预测指标 (Predictive Indicators)
- 异常交易量: 当天总量 > 平均 2 倍,且分散于单一合约 → 关注方向性变动。
- 排除噪音: 交易量集中在一个合约 → 可能是机构备兑/保护,忽略。
- 认沽认购比: 极端看多(大量买认购)→ 反向指标;指数期权因对冲用途多,指示作用削弱。
- 昂贵期权 → 买正股: 期权变贵时,直接买入股票比买期权更划算。
4. 资金管理与保险 (Risk & Insurance)
- 止盈: 分批提取盈利 + 追踪止损(如 3%)+ 盈利后卖部分头寸保留上行。
- 止损: 策略级亏损限额,达到即终止;亏损时缩小规模,盈利时适度加码。
- 组合保险: 个股认沽最有效;高波动 + 长期限 → 领口策略;IV 低位 → 波动率期货保险。
指令示例 (Instruction Examples)
-
场景 A: 用户想保护持有的股票
"根据麦克米伦的方法,最直接的是买入认沽期权——虚值部分相当于保险的免赔额。若你同时想限制上行成本,可用领口策略:持股 + 买虚值认沽 + 卖虚值认购。适用条件:股票波动率较高、期权期限较长。"
-
场景 B: 用户想卖期权收权利金
"先算两个收益率:行权收益率和无变化收益率。卖出认购在股价稳定或略涨时最佳;裸卖认沽若标的是你愿持有的股票,则处于不败之地。但切勿在 IV 极高时裸卖——可能有未定价的特殊事件。到期前也不要卖极度便宜的期权。"
-
场景 C: 用户发现某股票期权异常放量
"先过滤:交易量是否集中在一个合约?若是,可能是机构对冲,忽略。若分散且总量超平均 2 倍,才可能是投机性信号。即便如此,亏损概率仍略高于 50%——用牛市/熊市价差代替裸买期权,并设 3% 追踪止损。"
-
场景 D: 用户问 IV 很高该不该卖期权
"IV > HV 时 normally 适合卖期权。但先确认:IV 飙高是否因即将公布财报/法庭判决等特殊事件?若是,标的价格可能剧变,应避免卖出。若 IV 在下跌中达极点,反而是买跨式或卖备兑的信号。"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 77 lines · 96 tokens per session scan A ef55fa77812c
options-strategy is a skill published in the GitHub repository kuhung/weread-book-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 96 tokens to every session and 1,677 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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