Open source alternatives to hypogenic
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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About hypogenic
hypogenic
Plans and audits use of ChicagoHAI HypoGeniC/HypoRefine
hypogenic is an agent skill for planning and auditing the use of HypoGeniC and HypoRefine, tools from the ChicagoHAI project for language-model-assisted hypothesis generation from labelled text datasets. It covers the ChicagoHAI hypothesis-generation repository and the hypogenic package on PyPI. HypoGeniC iteratively proposes textual patterns from labelled data and scores them. HypoRefine adds information derived from the literature, and union workflows combine banks of hypotheses from both. The skill keeps its boundaries explicit: the outputs are candidate patterns to be tested, not established findings, and they depend on the quality and labelling of the data you supply. Use it when you have a labelled text dataset and want candidate explanations generated and scored, or when you want a plan that checks how an existing HypoGeniC or HypoRefine run was set up. The skill is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs. Its security audits show passes from Gen Agent Trust Hub and Socket, with a warning from Snyk.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/hypogenic