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 mahmoud20138/Tradecraft --skill ai-trading-crewgit clone --depth 1 https://github.com/mahmoud20138/TradecraftWrote 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/mahmoud20138/tradecraft/ai-trading-crew)<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/ai-trading-crew"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/ai-trading-crew/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/mahmoud20138/tradecraft/ai-trading-crew"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/ai-trading-crew.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 | $0.00061 | $0.01285 |
| Opus 5 | $0.00030 | $0.00642 |
| Sonnet 5 | $0.00012 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
ai-trading-crew 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Trading Crew
USE FOR:
- "50-agent trading crew simulation"
- "AutoGen multi-agent stock analysis"
- "devil's advocate + risk veto trading system"
- "US stock consensus trading agent"
- "multi-team agent debate for trading decisions"
- "ChromaDB RAG for trading knowledge" tags: [AutoGen, multi-agent, trading, US-stocks, Alpaca, Polygon, ChromaDB, RAG, risk-veto, paper-trading] kind: framework category: quant-ml-trading
What Is AI Trading Crew?
50-agent AutoGen system simulating a collaborative trading firm for US equities.
- Repo: https://github.com/omer475/ai-trading-crew
- Framework: AutoGen (Microsoft multi-agent)
- LLM: OpenAI
- Broker: Alpaca (paper trading)
- Data: Polygon.io real-time market data
- Memory: ChromaDB RAG knowledge base
Agent Architecture: 8 Teams + Head Coach
Head Coach (Supervisor)
↑ synthesis
┌──────────┬──────────┼──────────┬──────────┐
│ │ │ │ │
Technical Fundamental Macro Sentiment Quant
(7 agents) (7 agents) (6 agents) (6 agents) (6 agents)
│ │ │ │ │
└──────────┴──────────┼──────────┴──────────┘
│
Risk Management (5 agents) ← VETO POWER
│ approved?
Execution & Ops (5 agents)
Strategy & Special (8 agents)
│
Devil's Advocate ← contrarian challenge
│
Final Decision + Order
Team Responsibilities
| Team | Agents | Specialty |
|---|---|---|
| Technical Analysis | 7 | Chart patterns, indicators, price action |
| Fundamental Analysis | 7 | Earnings, P/E, balance sheet, moat |
| Macro & Economics | 6 | Fed policy, rates, sectors, macro |
| Sentiment & News | 6 | News NLP, social sentiment, analyst ratings |
| Quantitative | 6 | Statistical models, factor analysis, signals |
| Risk Management | 5 | VETO authority over all trades |
| Execution & Ops | 5 | Order routing, timing, slippage management |
| Strategy & Special | 8 | Special situations, M&A, catalysts |
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 · 188 lines · 61 tokens per session scan A 290d26bfb47b
ai-trading-crew is a skill published in the GitHub repository mahmoud20138/Tradecraft (15 stars, last pushed 4mo ago), licensed MIT. It adds 61 tokens to every session and 1,285 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.
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