Skip to content
store
fixed-income-portfolio

Self-hosted alternatives to fixed-income-portfolio

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 fixed-income-portfolio

F

fixed-income-portfolio

Review fixed income portfolios by pricing multiple bonds

fixed-income-portfolio is an agent skill from Anthropic's financial-services collection, listed on skills.sh. It reviews a bond portfolio by pricing each holding, pulling reference data, projecting cashflows and running scenario tests, then rolling the results up to portfolio level. Portfolio metrics are market-value-weighted averages of yield, duration and convexity. The skill prices every bond first, then adds issuer, coupon, maturity, rating, sector and call data for a composition view. It projects future coupon and principal payments to show reinvestment risk, and it runs parallel rate shifts and curve scenarios to stress the portfolio. Where a benchmark is available, results are framed against it. For bonds with embedded options it uses option-adjusted spread, effective duration, key rate durations and convexity. The MCP tools do the bond-level maths, and the agent does the aggregation and presents the result. It suits fixed income teams that review holdings and risk exposures.

View fixed-income-portfolioAll AI Skills apps
Price
Free
Made by
anthropics
Category
AI Skills
Website
github.com/anthropics/financial-services/fixed-income-portfolio