Open source alternatives to scikit-survival
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 scikit-survival
scikit-survival
Builds, evaluates
scikit-survival is an agent skill for building, evaluating and auditing survival workflows with scikit-survival 0.28.0, for right-censored or competing-risk outcomes. It covers Cox proportional hazards models, Coxnet, IPC ridge regression, survival trees, forests, boosting and support vector machines. It also covers discrimination, prediction error, calibration-oriented checks and time-dependent prediction, along with nonparametric cumulative incidence for competing risks. The workflows use scikit-learn pipelines with leakage-safe preprocessing, nested model selection and reproducible reports. The skill is clear about its limits. The library mainly models right-censored outcomes. Its built-in competing-risk support is nonparametric cumulative incidence, and it does not provide Fine-Gray regression. Model output should not be presented as clinical advice, causal evidence or proof of clinical usefulness. Use it for time-to-event analysis in research, such as survival prediction from patient data, after you have a clear outcome and censoring scheme. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/scikit-survival