Oraclaw Risk
Skill Verified ActiveRisk 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.
To equip AI agents with precise, mathematically sound risk assessment capabilities, enabling them to make data-driven decisions in financial contexts.
Features
- Value at Risk (VaR) calculation
- Conditional Value at Risk (CVaR) calculation
- Monte Carlo simulation for scenario analysis
- Stress testing of financial assumptions
- Multi-factor risk scoring
- Convergence analysis of risk indicators
Use Cases
- Calculating VaR for portfolios or individual positions
- Running stress tests on financial models
- Quantifying worst-case scenarios with confidence intervals
- Assessing credit risk and default probability
Non-Goals
- Performing basic arithmetic or probability calculations outside of financial risk contexts
- Providing financial advice or investment recommendations
- Replacing core LLM reasoning capabilities
Documentation
- info:Configuration & parameter referenceThe SKILL.md mentions the `ORACLAW_API_KEY` environment variable, but doesn't explicitly detail precedence order or default values for other configurations.
Installation
npx skills add Whatsonyourmind/oraclawRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
Similar Extensions
Trader Regime
100Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Trading Memory
100Domain knowledge for AI trading memory — Outcome-Weighted Memory (OWM) architecture, 5 memory types, recall scoring, and behavioral analysis. Use when recording trades, recalling similar contexts, analyzing performance, or checking behavioral drift. Triggers on "record trade", "remember trade", "recall", "similar trades", "performance", "behavioral", "disposition", "affective state", "confidence".
Risk Management
100Risk management domain knowledge for trading agents — affective state monitoring, position sizing, drawdown management, tilt detection, and behavioral guardrails. Use when checking risk before trades, managing drawdowns, detecting behavioral drift, or enforcing discipline. Triggers on "risk", "drawdown", "tilt", "position size", "lot size", "confidence", "revenge trading", "overtrading", "discipline".
Trader Signal
99Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction
Tradememory Bridge
99Bridge between Binance trading events and TradeMemory Protocol. Automatically journals trades, recalls similar past setups, detects behavioral biases, and provides outcome-weighted recall for AI trading agents. Use this skill after executing Binance spot trades to build persistent memory.
Tradememory
99AI trading memory with outcome-weighted recall and autonomous strategy evolution. 17 MCP tools, 1,233 tests, works with any trading platform.