Borrowing it
Nothing to install: this file belongs to PatrickSUDO/fadacai-portfolio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/PatrickSUDO/fadacai-portfolio/main/.agents/skills/options-strategy/SKILL.mdgit clone --depth 1 https://github.com/PatrickSUDO/fadacai-portfolioWrote 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/patricksudo/fadacai-portfolio/options-strategy)<a href="https://agentmods.dev/skills/patricksudo/fadacai-portfolio/options-strategy"><img src="https://agentmods.dev/badge/skills/patricksudo/fadacai-portfolio/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/patricksudo/fadacai-portfolio/options-strategy"><img src="https://agentmods.dev/badge/skills/patricksudo/fadacai-portfolio/options-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00039 | $0.04451 |
| Opus 5 | $0.00019 | $0.02226 |
| Sonnet 5 | $0.00008 | $0.00890 |
| Haiku 4.5 | $0.00004 | $0.00445 |
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 11d 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 — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Options Strategy Calculator
Evaluate options strategies for a given ticker with risk/reward analysis.
Step 0: 配置同步 & 倉位偵測
執行 AGENTS.md 的 Step 0 統一規範（0a → 0b → 0c → 0d → 0e）。
- 讀
plan.md+feedback/*.md（必做）；了解此標的在計畫中的進場策略與 strikes - 呼叫
get_account_position取即時持倉（確認現有部位與資金狀況） - 今日 journal 不存在 → 執行 gap-fill + 變動偵測 + 自動建立 journal
- 0e 第一性原理紀律：在 Recommendation 之前必須完成「方向 thesis / 證偽條件 / IV 機率分布」三題（見 AGENTS.md 0e）
Arguments
/options-strategy TEAM sell-put— Sell put analysis/options-strategy SSRM covered-call— Covered call analysis/options-strategy MU leaps— LEAPS replacement analysis/options-strategy FSLY naked-call— Speculative call analysis/options-strategy PLTR all— Show all applicable strategies/options-strategy PLTR AMD MU sell-put— 多標的比較（平行）/options-strategy MU sell-put --codex— 加 Codex 第二意見（adversarial review of strike selection）
Workflow
- Parse ticker and strategy from arguments
Multi-Ticker Parallel Mode
當偵測到多個 ticker（如 /options-strategy PLTR AMD MU sell-put）：
- 為每個 ticker 派出獨立 Agent 子代理（subagent_type: "data-collector"，Sonnet 4.6），每個 Agent 執行：
get_stock_info— 現價 + 基本面get_option_chain— 選擇權鏈get_technical_indicators— 波動率 + RSI + 動量get_support_resistance— S/R levels for strike selection
- 每個 Agent 回傳 raw 選擇權數據，主 skill 計算所選策略 3-4 個 strike 的損益數據
- 整合為比較表，依 E_adj 排序：
| Ticker | 現價 | Strategy | Best Strike(s) | Max Profit | Max Loss | 損益比 | ATR% | E_adj | 排名 |
|---|
若 Agent tool 不可用，依序處理各 ticker 亦可。
- Get Current Price & Technicals
- If Yahoo Finance MCP is available, fetch real-time quote
- Otherwise use WebSearch: "[TICKER] stock price today"
- 現有持倉從 Step 0 的
get_account_position取（已淘汰 current-position.md） - Use
mcp__technical-mcp__get_technical_indicatorsto get volatility regime, ATR, and RSI - Use
mcp__technical-mcp__get_support_resistanceto identify key levels for strike selection
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.
- 11d ago First seen · 295 lines · 39 tokens per session scan A 2cc97660af35
options-strategy is a skill published in the GitHub repository PatrickSUDO/fadacai-portfolio (139 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 4,451 once invoked, about $0.0002 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 2026-08-30.
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