⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

💹 Market & Finance Data

AI Risk Assessmentv1.0.0

Name: AI Risk Assessment
Author: GBABYZS

aigc-risk-assessment

GBABYZS

Provides portfolio risk metrics, stress testing, and position management advice using VaR, CVaR, volatility, Beta, Sharpe ratio, and Kelly formula.

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

866

Stars

CreatedMar 15, 2026

UpdatedMay 1, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install GBABYZS/aigc-risk-assessment

Skill Package3 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

C46/100

Grade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation1/35

· No tracked installs (may still have manual users)
· 72 downloads (minimal demand)

Documentation12/25

· SKILL.md present
· Brief documentation (≥500 chars)
· Detailed summary

Package Completeness8/15

· skillAssets present (2 files)
· Includes scripts or config files

💡

Usage Guide

Generated Mar 22, 2026

Retail InvestorsFinancial AnalystsPortfolio Managersintermediate

💡 Application Scenarios

Portfolio Risk Monitoring for Retail InvestorsPersonal Finance/Investment

Individual investors can use this skill to assess the risk of their stock portfolios by calculating VaR and CVaR, helping them understand potential losses under normal market conditions. It also provides position sizing suggestions based on the Kelly formula to optimize capital allocation and manage downside risk effectively.

Stress Testing for Hedge FundsFinancial Services/Asset Management

Hedge funds can apply this skill to perform stress tests, including historical scenario simulations and extreme market tests, to evaluate portfolio resilience during market crashes. This aids in adjusting strategies and ensuring compliance with risk management frameworks in volatile environments.

Risk-Adjusted Performance Analysis for Mutual FundsInvestment Management

Mutual fund managers can utilize this skill to compute metrics like Sharpe ratio and beta coefficient to gauge risk-adjusted returns and market exposure. This supports reporting to investors and optimizing fund allocations to enhance performance while controlling volatility.

Position Management for Algorithmic Trading FirmsFinTech/Quantitative Trading

Trading firms can integrate this skill to automate position sizing using risk parity and maximum position suggestions, ensuring trades align with predefined risk tolerance levels. This helps in maintaining balanced portfolios and reducing overexposure in automated trading systems.

💼 Business Models

SaaS Subscription for Financial AdvisorsRecurring subscription fees

Offer this skill as a cloud-based service where financial advisors pay a monthly fee to access risk assessment tools for client portfolios. It generates revenue through tiered subscriptions based on features like advanced stress testing and real-time analytics, targeting small to mid-sized advisory firms.

White-Label Integration for Brokerage PlatformsLicensing and support fees

License the skill to brokerage platforms for embedding into their trading interfaces, providing users with built-in risk analysis. Revenue comes from upfront licensing fees and ongoing support contracts, enhancing platform value and user retention in competitive markets.

Freemium Model for Individual TradersFreemium upgrades and in-app purchases

Deploy a free version with basic risk metrics like VaR and volatility, while premium features such as detailed stress tests and personalized position management are unlocked via one-time purchases or in-app upgrades. This attracts a broad user base and monetizes advanced needs.

💬 Integration Tip

Ensure the underlying data sources (e.g., stock prices from akshare) are regularly updated and handle errors gracefully in Python scripts to maintain reliability in production environments.