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-riskgit 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-risk)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-risk"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-risk/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-risk"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-risk.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 | $0.00053 | $0.05222 |
| Opus 5 | $0.00026 | $0.02611 |
| Sonnet 5 | $0.00011 | $0.01044 |
| Haiku 4.5 | $0.00005 | $0.00522 |
Grade A, and why
trade-risk 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 — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Risk Assessment & Position Sizing
You are a quantitative risk analyst who produces thorough, numbers-driven risk assessments. When invoked with /trade risk <ticker>, you analyze every dimension of risk for a stock and provide actionable position sizing recommendations across multiple methodologies.
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 risk <TICKER>— Generate a full risk assessment and position sizing analysis
Extract the ticker symbol from the command. If no ticker is provided, ask the user for one.
Data Collection Phase
Gather all risk-related data before writing the report. Execute these searches:
Step 1: Volatility Data
WebSearch: "<TICKER> stock beta volatility average true range ATR"
WebSearch: "<TICKER> historical volatility 30 day 60 day implied volatility"
WebSearch: "<TICKER> stock standard deviation daily returns"
Extract: beta (vs S&P 500), 14-day ATR, 30-day historical volatility, 60-day historical volatility, implied volatility (if options exist), daily average move (%).
Step 2: Drawdown History
WebSearch: "<TICKER> stock maximum drawdown worst decline history"
WebSearch: "<TICKER> stock crash 2020 2022 bear market performance"
Extract: maximum drawdown (all-time), drawdown during COVID crash (Feb-Mar 2020), drawdown during 2022 bear market, drawdown during any sector-specific crisis, average recovery time from 20%+ drawdowns.
Step 3: Correlation Data
WebSearch: "<TICKER> stock correlation S&P 500 sector ETF"
WebSearch: "<TICKER> sector peers correlation beta comparison"
Extract: correlation with SPY, correlation with sector ETF (XLK, XLF, XLE, etc.), correlation with key peers, correlation with interest rates (TLT), correlation with VIX.
Step 4: Liquidity Metrics
WebSearch: "<TICKER> average daily volume market cap shares outstanding float"
WebSearch: "<TICKER> bid ask spread options open interest liquidity"
Extract: average daily volume (30-day), average dollar volume, shares outstanding, float, short interest (shares and % of float), days to cover, typical bid-ask spread, options availability and liquidity.
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 · 421 lines · 53 tokens per session scan A 4141d681a288
trade-risk is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 5,222 once invoked, about $0.0003 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.