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Secure sandboxed code execution environments for reproducible research computing
Passed 14 of 23 test cases with the skill, and 11 of 23 without it.
and 2 more in the full report
4 fixed10 passed either way8 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
In a GitHub Actions workflow pipeline that generates figures and summary statistics into an output directory, I need to upload these output files at the end of the run. Which official GitHub action step and version should be added to store these files?
| Checked | Without skill | With skill |
|---|---|---|
| The workflow step uses actions/upload-artifact@v4. | Passed | Passed |
| The artifact upload step sets path to output/. | Missed | Passed |
The instructions your model reads when the skill loads.
A skill for setting up and using sandboxed code execution environments for research computing. Covers containerized execution, security considerations, resource management, and integration with research workflows.
Research code often requires:
# Dockerfile for a reproducible research environment
FROM python:3.11-slim
# System dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
gfortran \
libopenblas-dev \
&& rm -rf /var/lib/apt/lists/*
# Create non-root user for security
RUN useradd -m -s /bin/bash researcher
USER researcher
WORKDIR /home/researcher
# Pin all dependencies
COPY requirements.txt .
RUN pip install --user --no-cache-dir -r requirements.txt
# Copy project files
COPY --chown=researcher:researcher . /home/researcher/project
WORKDIR /home/researcher/project
test cases passed, vs 11 / 23 without
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