Skill Market

trader risk

Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status

GitHub
githubcommunityclaudemcp
0.0
0 installs73.4K GitHub starsby ruvnet

Skill Introduction

Overview
Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status

Core value

Turns reusable Development know-how into an installable skill, helping users complete github, community, claude, mcp work faster.

Target users

  • Developers, testers, and maintainers who handle Development tasks in Focus Code.
  • Teams that already trust workflows or content from ruvnet.
  • Users who want standardized prompts, steps, or conventions instead of repeating setup work.

Best practices

  • Read the skill content first to confirm required inputs, expected outputs, and dependencies.
  • Try it on a small task before relying on it for critical work.
  • Add project-specific constraints such as coding style, target platform, test expectations, and delivery format.
  • For external sources, verify the source link, version, and recent maintenance activity.

Best use cases

  • Tasks related to github, community, claude, mcp that need a reusable execution flow.
  • Converting a community repo, team convention, or personal workflow into day-to-day assistance.
  • Starting from a proven skill instead of writing prompts or procedures from scratch.

Limits and boundaries

  • Results depend on the quality of the original skill content and may need human correction.
  • It does not replace code review, tests, security review, or professional judgment.
  • External tools, APIs, account permissions, and local dependencies still need separate setup.

Differentiation

  • Structured around Development, making it easier to discover and reuse than loose prompt snippets.
  • Marked as GitHub, which helps users judge trust and maintenance expectations.
  • Keeps the original source link available for repository, documentation, or discussion follow-up.
  • Tagged with github, community, claude, mcp, so it can be filtered by concrete task intent.

Install and use

Install
Copy Install Command
focus install trader-risk-cc0d6a
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Detail Preview

SKILL.md

Primary filemarkdown2 KB

name: trader-risk description: Assess portfolio risk using npx neural-trader — VaR, CVaR, Sharpe, position sizing, circuit breaker status allowed-tools: Bash Read mcp__claude-flow__memory_store mcp__claude-flow__memory_search argument-hint: "[--symbol TICKER] [--portfolio NAME]"

Assess portfolio and position risk using neural-trader's risk engine.

Steps:

  1. Ensure neural-trader is available: npm ls neural-trader 2>/dev/null || npm install --ignore-scripts neural-trader
  2. Run risk assessment: 
    # Single position
npx neural-trader --risk assess --symbol TICKER
npx neural-trader --var --symbol TICKER --investment 10000

# Portfolio-wide
npx neural-trader --risk assess --portfolio NAME
npx neural-trader --correlation --portfolio NAME --flag-threshold 0.8
  3. Calculate position sizing: 
    npx neural-trader --risk-tolerance 0.02 --symbol TICKER
npx neural-trader --position-sizing kelly --symbol TICKER
  4. Check circuit breaker status:
    • Daily loss limit (3%), weekly loss limit (5%)
    • Correlation spike (>0.85), volatility regime (VIX > 2x)
    • Max positions, single-name concentration (>10%)
  5. Present: risk metrics, position sizing recommendation, active breakers, alerts
  6. Store assessment: mcp__claude-flow__memory_store({ key: "risk-TICKER-DATE", value: "RISK_METRICS", namespace: "trading-risk" })

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