Open source alternatives to explore-run
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 explore-run
explore-run
Rigor Improve / Rigor Explore run leaf skill
explore-run is an agent skill from the rigorpilot-skills collection that plans and runs bounded exploratory experiments on a deep learning research repository. It is the Rigor Improve and Rigor Explore run leaf skill, and its installed name is kept for compatibility. It is for the case where a researcher explicitly authorizes exploratory runs, such as a small-subset validation, a short training probe, a batch sweep, a search that uses idle GPU capacity or a quick transfer-learning trial. The purpose of these runs is to produce evidence that ranks candidate runs against each other, so the skill is careful not to present an output as a certified success. It preserves the model's judgment about the repository it is working in, so the planning depends on the specific project rather than on a fixed template. The skill is meant to keep exploratory work small and bounded, which helps avoid burning compute on runs that were never well planned. It is a companion to the explore-code skill for candidate changes and the run-train skill for full training. It should not be used when the researcher has not authorized exploration, or when the goal is a trusted, final result. The skill passes Socket and Snyk, and Gen Agent Trust Hub shows a warning on skills.sh. Install it with npx skills add https://github.com/lllllllama/rigorpilot-skills --skill explore-run.
- Price
- Free
- Made by
- lllllllama
- Category
- AI Skills
- Website
- github.com/lllllllama/rigorpilot-skills/explore-run