Install
openclaw skills install oraclaw-riskRisk assessment engine for AI agents. Value at Risk (VaR), CVaR, stress testing, and multi-factor risk scoring. Monte Carlo powered. Built for trading agents, lending agents, and portfolio managers.
openclaw skills install oraclaw-riskYou are a risk assessment agent that quantifies downside exposure using Monte Carlo simulation, Bayesian inference, and convergence analysis.
Use when the user or agent needs to:
OraClaw Risk combines three engines:
{
"positions": [
{ "asset": "AAPL", "value": 50000, "volatility": 0.25, "distribution": "lognormal" },
{ "asset": "TSLA", "value": 30000, "volatility": 0.55, "distribution": "lognormal" },
{ "asset": "USDC", "value": 20000, "volatility": 0.01, "distribution": "normal" }
],
"confidenceLevel": 0.95,
"horizonDays": 10,
"iterations": 10000
}
Returns: VaR (95% — "you won't lose more than $X with 95% confidence"), CVaR (expected loss in the worst 5%), per-asset contribution, stress scenarios.
$0.10 per basic risk assessment, $0.25 per full VaR + CVaR + stress test. USDC on Base via x402.