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 autohedge-swarmgit 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/autohedge-swarm)<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/autohedge-swarm"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/autohedge-swarm/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/autohedge-swarm"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/autohedge-swarm.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 | $0.00050 | $0.00797 |
| Opus 5 | $0.00025 | $0.00398 |
| Sonnet 5 | $0.00010 | $0.00159 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
autohedge-swarm 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
autohedge-swarm
USE FOR:
- "autonomous hedge fund agent"
- "swarm agents for trading"
- "director + quant + risk manager pipeline"
- "Solana autonomous trading"
- "enterprise AI trading system"
- "risk-first automated trading" tags: [swarm, agents, hedge-fund, autonomous, Solana, risk-and-portfolio, enterprise, multi-agent, quant] kind: framework category: quant-ml-trading
What Is AutoHedge?
Enterprise-grade autonomous agent hedge fund using swarm intelligence. Specialized agents sequentially handle strategy, analysis, risk, and execution.
- Repo: https://github.com/The-Swarm-Corporation/AutoHedge
- Install:
pip install -U autohedge - Current: Solana trading (Coinbase planned)
- Philosophy: Risk-first — position sizing happens before execution
Swarm Agent Pipeline
Director Agent
↓ Strategy generation + market context
Quant Agent
↓ Quantitative analysis + signal generation
Risk Manager Agent
↓ Position sizing + risk assessment + approval
Execution Agent
↓ Order construction + submission
Trade Output (JSON)
Installation
pip install -U autohedge
Environment variables:
JUPITER_API_KEY="..." # Solana DEX aggregator
OPENAI_API_KEY="sk-..." # or ANTHROPIC_API_KEY
WALLET_PRIVATE_KEY="..." # Solana wallet
Usage
autohedge
Or programmatically:
from autohedge import AutoHedge
fund = AutoHedge(
llm_provider="anthropic", # Director/Quant use Claude
risk_threshold=0.02, # Max 2% portfolio risk per trade
chain="solana",
)
result = fund.analyze_and_trade("SOL/USDC")
print(result) # JSON: analysis + decision + risk metrics
Agent Responsibilities
| Agent | Role |
|---|---|
| Director | Market context, strategy selection |
| Quant | Price analysis, signals, technicals |
| Risk Manager | Position sizing, max drawdown limits |
| Execution | Order construction, submission |
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 · 126 lines · 0 tokens per session scan A fab36d0b1c36
autohedge-swarm is a skill published in the GitHub repository mahmoud20138/Tradecraft (15 stars, last pushed 4mo ago), licensed MIT. It adds 50 tokens to every session and 797 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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