Description
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.…
Highlights
- Runs Python in a sandboxed environment
- More than 100 libraries pre-installed
- Includes NumPy, Pandas, Matplotlib and requests
- Runs without touching your own machine
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python-executor FAQ
What does python-executor do?
It runs Python code for an agent in a sandboxed environment.
Which libraries are available?
More than 100, including NumPy, Pandas, Matplotlib and requests, according to the description.
Does the code run on my computer?
No. It runs in the sandbox through the inference.sh service.
How do I start?
Install the belt CLI skill, then run belt login.
How do I install it?
Run npx skills add https://github.com/101-skills/superpowers --skill python-executor in your terminal.
Is it free?
The listing shows the skill as free. The hosted service has its own account.
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