/risk-metrics-calculation
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Claude Code
$ npx -y skills add wshobson/agents --skill risk-metrics-calculation --agent claude-code
Codex
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a codex -y
Cursor
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a cursor -y
Gemini CLI
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a gemini-cli -y
GitHub Copilot
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a github-copilot -y
OpenCode
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a opencode -y
Windsurf
$ npx skills add wshobson/agents --skill risk-metrics-calculation -a windsurf -y
SKILL.md
risk-metrics-calculation.SKILL.mdname: risk-metrics-calculation
description: Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Risk Metrics Calculation
Comprehensive risk measurement toolkit for portfolio management, including Value at Risk, Expected Shortfall, and drawdown analysis.
When to Use This Skill
- Measuring portfolio risk
- Implementing risk limits
- Building risk dashboards
- Calculating risk-adjusted returns
- Setting position sizes
- Regulatory reporting
Core Concepts
1. Risk Metric Categories
| Category | Metrics | Use Case | | ----------------- | --------------- | -------------------- | | **Volatility** | Std Dev, Beta | General risk | | **Tail Risk** | VaR, CVaR | Extreme losses | | **Drawdown** | Max DD, Calmar | Capital preservation | | **Risk-Adjusted** | Sharpe, Sortino | Performance |
2. Time Horizons
Intraday: Minute/hourly VaR for day traders
Daily: Standard risk reporting
Weekly: Rebalancing decisions
Monthly: Performance attribution
Annual: Strategic allocation
Detailed patterns and worked examples
Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.
Best Practices
Do's
- **Use multiple metrics** - No single metric captures all risk
- **Consider tail risk** - VaR isn't enough, use CVaR
- **Rolling analysis** - Risk changes over time
- **Stress test** - Historical and hypothetical
- **Document assumptions** - Distribution, lookback, etc.
Don'ts
- **Don't rely on VaR alone** - Underestimates tail risk
- **Don't assume normality** - Returns are fat-tailed
- **Don't ignore correlation** - Increases in stress
- **Don't use short lookbacks** - Miss regime changes
- **Don't forget transaction costs** - Affects realized risk
Read more
name: risk-metrics-calculation description: Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems.
Risk Metrics Calculation
Comprehensive risk measurement toolkit for portfolio management, including Value at Risk, Expected Shortfall, and drawdown analysis.
When to Use This Skill
- Measuring portfolio risk
- Implementing risk limits
- Building risk dashboards
- Calculating risk-adjusted returns
- Setting position sizes
- Regulatory reporting
Core Concepts
1. Risk Metric Categories
| Category | Metrics | Use Case | | ----------------- | --------------- | -------------------- | | **Volatility** | Std Dev, Beta | General risk | | **Tail Risk** | VaR, CVaR | Extreme losses | | **Drawdown** | Max DD, Calmar | Capital preservation | | **Risk-Adjusted** | Sharpe, Sortino | Performance |
2. Time Horizons
Intraday: Minute/hourly VaR for day traders Daily: Standard risk reporting Weekly: Rebalancing decisions Monthly: Performance attribution Annual: Strategic allocation
Detailed patterns and worked examples
Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.
Best Practices
Do's
- **Use multiple metrics** - No single metric captures all risk
- **Consider tail risk** - VaR isn't enough, use CVaR
- **Rolling analysis** - Risk changes over time
- **Stress test** - Historical and hypothetical
- **Document assumptions** - Distribution, lookback, etc.
Don'ts
- **Don't rely on VaR alone** - Underestimates tail risk
- **Don't assume normality** - Returns are fat-tailed
- **Don't ignore correlation** - Increases in stress
- **Don't use short lookbacks** - Miss regime changes
- **Don't forget transaction costs** - Affects realized risk
Use one collection of plugins, agents, skills, and commands across Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi. A harness is the coding tool that loads and runs the components.
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Questions about risk-metrics-calculation.
- Which coding agents can use risk-metrics-calculation?
- risk-metrics-calculation installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

