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Official Verified finance Safety 5/5

Riskofficer

Skill by mib424242

Why use this skill?

Optimize portfolios and calculate risk metrics like VaR and Monte Carlo simulations with the Riskofficer skill. Research-only virtual finance tool.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/mib424242/riskofficer
Or

What This Skill Does

The Riskofficer skill by mib424242 integrates OpenClaw with the RiskOfficer financial analytics platform. It serves as a powerful research interface, enabling users to perform sophisticated risk management tasks on virtual portfolios. The skill allows you to calculate Value at Risk (VaR), run Monte Carlo simulations, perform stress tests, and execute allocation optimizations like Risk Parity and Calmar ratios. It is designed for investors and analysts who need data-driven insights without the risk of accidental order execution.

Installation

To get started, first install the skill using the terminal command: clawhub install openclaw/skills/skills/mib424242/riskofficer. Next, obtain your API token by navigating to the Settings menu within the RiskOfficer web application and generating a new key titled 'OpenClaw'. Once you have your token, you can set it as an environment variable in your terminal using export RISK_OFFICER_TOKEN=ro_pat_... or add it to your configuration file located at ~/.openclaw/openclaw.json. Ensure your configuration uses the correct JSON schema for the skills entries to enable the plugin effectively.

Use Cases

This skill is perfect for portfolio stress-testing, hypothesis generation, and educational investment modeling. You can use it to compare the performance of different asset allocations under historical or hypothetical market stress scenarios. Since the integration is strictly read-only regarding your real broker accounts, it acts as a sandbox to validate your investment theses before committing capital. It is particularly useful for users looking to optimize their portfolio weighting based on risk-adjusted return metrics.

Example Prompts

  1. "Check the current risk metrics for my 'Tech Growth' virtual portfolio and run a Monte Carlo simulation for the next 12 months."
  2. "What is the current Value at Risk for a portfolio containing 60% SPY and 40% TLT?"
  3. "Optimize my current virtual portfolio using the Risk Parity strategy and show me the suggested changes."

Tips & Limitations

Always use the 'Ticker Search' command before defining portfolio assets to ensure the system recognizes the correct symbols. Note that this skill is strictly for research; it does not possess the capability to execute trades, place orders, or modify your actual brokerage accounts. Data fetched from brokers is read-only and intended solely for analytical visualization. If you notice discrepancies, ensure your API key permissions are correctly set within the RiskOfficer portal.

Metadata

Author@mib424242
Stars1401
Views1
Updated2026-02-24
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-mib424242-riskofficer": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#finance#risk-management#portfolio#investment#analytics
Safety Score: 5/5

Flags: external-api