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Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
Passed 22 of 23 test cases with the skill, and 12 of 23 without it.
and 9 more in the full report
10 fixed12 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
What terminal command starts the cuOpt REST server module in Python on port 8000 binding to all network interfaces?
| Checked | Without skill | With skill |
|---|---|---|
| Runs python -m cuopt_server.cuopt_service --ip 0.0.0.0 --port 8000 | Missed | Passed |
The instructions your model reads when the skill loads.
Install cuOpt to use it from Python, C, or as a REST server. For building cuOpt from source to contribute or modify it, see cuopt-developer.
cuopt-cu12 / libcuopt-cu12 with CUDA 12).cuopt-cuXX (Python) depends on libcuopt-cuXX (C), so installing the Python package also installs the C library and headers. Installing libcuopt-cuXX on its own does not install the Python API.Ask these if not already clear:
nvcc --version or nvidia-smi.Choose one — do not run both. The second install would override the first and can cause CUDA / package mismatch.
pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu13
pip install --extra-index-url=https://pypi.nvidia.com 'cuopt-cu12==26.2.*'
conda install -c rapidsai -c conda-forge -c nvidia cuopt
test cases passed, vs 12 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.