wshobson-risk-metrics-calculation

SkillFiles & storage

--- 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. ---

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the wshobson-risk-metrics-calculation skill

About this capability

A curated guide to convention files AI agents read, write, and act on: AGENTS.md, CLAUDE.md, SKILL.md, llms.txt, MCP configs, rules, and examples.

What this skill tells your AI

The instructions your AI receives, as published by itamarzand88/awesome-agent-conventions in conventions/skill-md/examples/domain-specific-niche/wshobson-risk-metrics-calculation/SKILL.md and read by ahel’s review.


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

CategoryMetricsUse Case
VolatilityStd Dev, BetaGeneral risk
Tail RiskVaR, CVaRExtreme losses
DrawdownMax DD, CalmarCapital preservation
Risk-AdjustedSharpe, SortinoPerformance

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

Signals

GitHub stars
31
Forks
3
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
wshobson-risk-metrics-calculation
Source
github.com/itamarzand88/awesome-agent-conventions