autohedge-swarm — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited autohedge-swarm (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
USE FOR:
tags: [swarm, agents, hedge-fund, autonomous, Solana, risk-and-portfolio, enterprise, multi-agent, quant] kind: framework category: quant-ml-trading
Enterprise-grade autonomous agent hedge fund using swarm intelligence. Specialized agents sequentially handle strategy, analysis, risk, and execution.
pip install -U autohedgeDirector 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)pip install -U autohedgeEnvironment variables:
JUPITER_API_KEY="..." # Solana DEX aggregator
OPENAI_API_KEY="sk-..." # or ANTHROPIC_API_KEY
WALLET_PRIVATE_KEY="..." # Solana walletautohedgeOr 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 | Role |
|---|---|
| Director | Market context, strategy selection |
| Quant | Price analysis, signals, technicals |
| Risk Manager | Position sizing, max drawdown limits |
| Execution | Order construction, submission |
{
"ticker": "SOL/USDC",
"director_analysis": "Bullish momentum...",
"quant_signals": {"rsi": 58, "macd": "bullish"},
"risk_assessment": {"position_size": 0.015, "stop_loss": 0.02},
"decision": "BUY",
"execution": {"order_type": "market", "size": 10.5}
}~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.