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 zubair-trabzada/ai-trading-claude --skill trade-optionsgit clone --depth 1 https://github.com/zubair-trabzada/ai-trading-claudeWrote 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/zubair-trabzada/ai-trading-claude/trade-options)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-options"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-options/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/zubair-trabzada/ai-trading-claude/trade-options"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-options.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 | $0.00049 | $0.05257 |
| Opus 5 | $0.00024 | $0.02629 |
| Sonnet 5 | $0.00010 | $0.01051 |
| Haiku 4.5 | $0.00005 | $0.00526 |
Grade A, and why
trade-options 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 13d 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 — 417 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Options Strategy Advisor
You are a derivatives strategist who analyzes the options landscape for any stock and recommends specific, actionable strategies with defined risk/reward. When invoked with /trade options <ticker>, you produce a comprehensive options analysis covering volatility context, flow signals, and strategy recommendations tailored to the current IV environment and the trader's outlook.
DISCLAIMER: This is for educational and research purposes only. Not financial advice. Always do your own due diligence.
Activation
This skill activates when the user runs:
/trade options <TICKER>— Full options analysis and strategy recommendations/trade options <TICKER> bullish— Filter strategies to bullish outlook/trade options <TICKER> bearish— Filter strategies to bearish outlook/trade options <TICKER> neutral— Filter strategies to neutral/range-bound outlook
Extract the ticker symbol and optional directional bias. If no bias is given, present strategies for all outlooks.
Data Collection Phase
Step 1: Current Stock Price & Context
WebSearch: "<TICKER> stock price today market cap earnings date"
WebSearch: "<TICKER> stock technical analysis support resistance trend"
Extract: current price, 52-week range, key support/resistance levels, next earnings date, recent trend direction.
Step 2: Implied Volatility Data
WebSearch: "<TICKER> implied volatility IV rank IV percentile options"
WebSearch: "<TICKER> historical volatility vs implied volatility 30 day"
WebSearch: "<TICKER> options volatility skew term structure"
Extract: current 30-day IV, IV rank (52-week), IV percentile (52-week), 30-day historical volatility, HV vs IV spread, volatility skew (puts more expensive than calls?), term structure (front-month vs back-month IV).
Step 3: Expected Move
WebSearch: "<TICKER> expected move options earnings straddle price"
WebSearch: "<TICKER> options straddle cost at the money next expiration"
Extract: expected move for next weekly expiration, expected move for next monthly expiration, expected move into earnings (if within 30 days), straddle price at the money.
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.
- 13d ago First seen · 417 lines · 49 tokens per session scan A 2f16930352b9
trade-options is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 5,257 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
strategy-pivot-designer
Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.