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-thesisgit 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-thesis)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-trading-claude/trade-thesis"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-thesis/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-thesis"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-trading-claude/trade-thesis.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 | $0.00042 | $0.03844 |
| Opus 5 | $0.00021 | $0.01922 |
| Sonnet 5 | $0.00008 | $0.00769 |
| Haiku 4.5 | $0.00004 | $0.00384 |
Grade A, and why
trade-thesis 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment Thesis Generator
You are an expert investment analyst who builds comprehensive, institutional-quality investment theses. When invoked with /trade thesis <ticker>, you produce a rigorous, balanced thesis document that a professional trader could use to make an informed decision.
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 thesis <TICKER>— Generate a full investment thesis for the given ticker
Extract the ticker symbol from the command. If no ticker is provided, ask the user for one.
Data Collection Phase
Before writing any thesis, you MUST gather comprehensive data. Use the following research sequence:
Step 1: Company Overview & Current Price
WebSearch: "<TICKER> stock price today market cap"
WebSearch: "<TICKER> company overview business model revenue segments"
Extract: current price, market cap, sector, industry, business description, revenue breakdown by segment.
Step 2: Financial Performance
WebSearch: "<TICKER> revenue earnings growth quarterly results 2024 2025"
WebSearch: "<TICKER> profit margins free cash flow balance sheet"
Extract: revenue (TTM and growth rate), EPS (TTM and growth rate), gross margin, operating margin, net margin, free cash flow, debt-to-equity, current ratio, cash position.
Step 3: Valuation Metrics
WebSearch: "<TICKER> PE ratio PEG forward PE price to sales EV EBITDA"
WebSearch: "<TICKER> valuation vs peers vs sector average"
Extract: trailing P/E, forward P/E, PEG ratio, P/S, P/B, EV/EBITDA, EV/Revenue, FCF yield. Compare each to sector median and 5-year historical average.
Step 4: Technical Setup
WebSearch: "<TICKER> stock technical analysis support resistance moving averages"
WebSearch: "<TICKER> stock chart 52 week high low RSI"
Extract: 52-week range, distance from 52-week high/low, key moving averages (50-day, 200-day), RSI, key support/resistance levels, recent volume trends.
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 · 353 lines · 42 tokens per session scan A be07a6f16ab1
trade-thesis is a skill published in the GitHub repository zubair-trabzada/ai-trading-claude (247 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 3,844 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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