Open source alternatives to python-executor
24 open source AI Skills apps to use instead, best rated first.
Top picks
- G

github-ops
Getgithub-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
Getopensource-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
Getandrej-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
Getmarkitdown-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
Getod-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
Getgithub-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 python-executor

python-executor
Execute Python code in a safe sandboxed environment
python-executor is an agent skill that runs Python code in a sandboxed environment, through the inference.sh command-line tool. The sandbox comes with more than 100 libraries installed, and the skill's metadata names NumPy, Pandas, Matplotlib and requests as examples. Running code in a sandbox means an agent can compute, analyze data or make a chart without executing the code on your own computer. It is useful when an agent needs to check a calculation, process a small dataset or produce a plot as part of an answer. To use it, install the belt CLI skill with npx skills, then sign in with belt login. The skill is listed on skills.sh under the 101-skills superpowers repository, and its security audit shows warnings from Socket and Snyk, with Gen Agent Trust Hub passing.
- Price
- Free
- Made by
- 101-skills
- Category
- AI Skills
- Website
- github.com/101-skills/superpowers/python-executor










