Open source alternatives to comps-analysis
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G
github-ops
Launchgithub-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
- O
opensource-pipeline
Launchopensource-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
- A
andrej-karpathy-skills
Launchandrej-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
- M
microsoft/markitdown
Launchmarkitdown-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
- O
od-contribute
Launchod-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
- G
github-deep-research
Launchgithub-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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Learn Claude Code
by shareAI-lab - A really interesting analysis of how coding agents like Claude
About comps-analysis
comps-analysis
Build institutional-grade comparable company analyses
comps-analysis is an agent skill from the anthropics/financial-services collection for building institutional-grade comparable company analyses. It combines operating metrics, valuation multiples and statistical benchmarking in a structured spreadsheet that supports a decision through peer comparison. Its most important rule is the source of data: when financial data tools such as a financial data MCP are available, they are used exclusively for financial and trading information, and web search is not used as a primary source, because it lacks the accuracy and audit trail that institutional work needs. Only when those tools are unavailable does the skill turn to terminal data services or filings such as SEC EDGAR. The skill covers the reference material that contextualizes a comparison, the metrics to compare, the multiples to calculate, and the statistics that show where a company sits in its peer group. It is useful for analysts and bankers who need a defensible peer set and valuation range. Comparable company analysis is a judgment about which peers are comparable and which figures to trust, and its output is an input to a decision rather than the decision itself, so the peer selection and the data should be reviewed by the analyst responsible for the work. The skill is installed with the skills CLI from the anthropics/financial-services repository. Its skills.sh page showed about 2.2K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- anthropics
- Category
- AI Skills
- Website
- github.com/anthropics/financial-services/comps-analysis