Skip to content
risk-metrics-calculation

Self-hosted alternatives to risk-metrics-calculation

5 self-hosted AI Skills apps to use instead, best rated first.

Top picks

  1. C

    claude-to-deerflow

    Launch

    claude-to-deerflow is an agent skill that lets an assistant send messages and questions to a running DeerFlow instance through its HTTP API. DeerFlow is an AI agent platform built on LangGraph that orchestrates sub-agents for research, code

    Self-hosted

  2. O

    open-notebook

    Launch

    open-notebook is an agent skill for organising research with Open Notebook, a self-hosted alternative to NotebookLM. It arranges sources, notes and AI conversations into research notebooks. Sources can be PDFs, web pages, audio, video and O

    Self-hosted

  3. R

    Reactive Resume

    Launch

    Reactive Resume is a free and open-source resume builder for writing resumes and cover letters, checking the work, and tracking job applications. You create a free account, import an existing resume or start from scratch, and see the finish

    Open sourceSelf-hosted

  4. S

    self-hosted-funnel-launch

    Launch

    Self-hosted funnel launch is an agent skill that takes a funnel from an empty install to published on infrastructure you control, using the Autonnel funnel builder, which is licensed Apache-2.0. The result covers a landing page, checkout, a

    Self-hosted

  5. G

    get-convex/convex-backend

    Launch

    Convex is an open-source reactive database for web app developers. It combines a database, a place to write server functions in pure TypeScript, and client libraries that keep the app's data live, so screens update as the data changes. Beca

    Self-hosted

About risk-metrics-calculation

R

risk-metrics-calculation

Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino

risk-metrics-calculation is an agent skill from the wshobson/agents collection for calculating portfolio risk metrics. It covers the measures used in portfolio management: Value at Risk (VaR), Expected Shortfall (CVaR), the Sharpe and Sortino ratios that compare returns with risk, and drawdown analysis, which looks at how far a portfolio fell from a previous high. The skill organizes these into risk metric categories, so an analyst can see which measure answers which question. It applies when measuring portfolio risk, implementing risk limits, building risk dashboards, calculating risk-adjusted returns, setting position sizes, and preparing regulatory reports that call for these measures. It is a calculation toolkit for code that analysts or developers build, so the agent writes and checks the calculations, and the results depend on the return data and assumptions supplied. The skill does not provide investment advice and does not recommend what to buy or sell. Risk measures are estimates that depend on the chosen method and history, so their outputs should be reviewed by people who understand the portfolio and the model. The skill is installed with the skills CLI from the wshobson/agents repository. Its skills.sh page showed about 10.7K installs and passing results from three security audits at the time of the scan.

Price
Free
Made by
wshobson
Category
AI Skills
Website
github.com/wshobson/agents/risk-metrics-calculation