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fixed-income-portfolio

Open source alternatives to fixed-income-portfolio

24 open source AI Skills apps to use instead, best rated first.

Top picks

  1. G

    github-ops

    Launch

    github-ops is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It manages a GitHub repository with a focus on community health, CI reliability and the experience of contributors. It covers triaging issues by classify

    Open source

  2. O

    opensource-pipeline

    Launch

    opensource-pipeline is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It prepares a private project for safe public release through a three-stage pipeline. The fork stage strips secrets from a copy. The sanitise st

    Open source

  3. A

    andrej-karpathy-skills

    Launch

    andrej-karpathy-skills is a single CLAUDE.md file from the multica-ai project that is meant to improve how Claude Code behaves on coding tasks. It is derived from Andrej Karpathy's public observations about LLM coding pitfalls. The file dis

    Open source

  4. M

    microsoft/markitdown

    Launch

    markitdown-mcp is the MCP server package for MarkItDown, Microsoft's tool for converting many file formats to Markdown for language models. It is a lightweight server that runs over stdio, Streamable HTTP or SSE, and exposes one tool, conve

    Open source

  5. O

    od-contribute

    Launch

    od-contribute is an agent skill in the OpenDesign project that provides a guided, one-click contribution flow to the OpenDesign repository, written so that people without a coding background can send a real pull request. It is locked to the

    Open source

  6. G

    github-deep-research

    Launch

    github-deep-research is an agent skill from the DeerFlow project that researches a single GitHub repository in several rounds and writes a report in Markdown. It is for requests that need more than a README summary, such as a comprehensive

    Open source

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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