NVIDIA cuOpt is an optimization engine that uses GPUs to solve mathematical planning problems such as linear programming, quadratic programming, and vehicle routing. Developers and operations teams use its C++, C, Python, and server APIs for large-scale optimization, while the catalogue's agent skills connect it with agent-based optimization workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add NVIDIA/cuopt --skill cuopt-installgit clone --depth 1 https://github.com/NVIDIA/cuoptWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/nvidia/cuopt/cuopt-install)<a href="https://agentmods.dev/skills/nvidia/cuopt/cuopt-install"><img src="https://agentmods.dev/badge/skills/nvidia/cuopt/cuopt-install/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/nvidia/cuopt/cuopt-install"><img src="https://agentmods.dev/badge/skills/nvidia/cuopt/cuopt-install.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.01389 |
| Opus 5.5 | $0.00016 | $0.00556 |
| Sonnet 5.5 | $0.00008 | $0.00278 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
cuopt-install scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:8000/cuopt/health | jq . This is a copy
100% identical to cuopt-install — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cuOpt Install (user)
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.
System requirements
- GPU: NVIDIA Compute Capability ≥ 7.0 (Volta or newer). Examples: V100, A100, H100, RTX 20xx/30xx/40xx. Not supported: GTX 10xx (Pascal).
- CUDA: 12.x or 13.x. The package CUDA suffix must match the runtime CUDA (e.g.
cuopt-cu12/libcuopt-cu12with CUDA 12). - Driver: NVIDIA driver compatible with the CUDA version.
cuopt-cuXX(Python) depends onlibcuopt-cuXX(C), so installing the Python package also installs the C library and headers. Installinglibcuopt-cuXXon its own does not install the Python API.
Required questions
Ask these if not already clear:
- Interface — Python, C, or REST server? Server can be called from any language via HTTP.
- CUDA version — What is installed? Check with
nvcc --versionornvidia-smi. - Package manager — pip, conda, or Docker preferred?
- Release channel — latest stable release (default) or nightly (built from the development branch, may be unstable)?
- Environment — Local machine with GPU, cloud instance, Docker/Kubernetes, or remote/server (no local GPU)?
Release channels
Commands below install the latest stable release. For nightly builds (development branch HEAD, version NEXT = VERSION file on main, e.g. 26.12), change:
- pip: add
--pre --extra-index-url=https://pypi.anaconda.org/rapidsai-wheels-nightly/simple/and pin each listed cuOpt package (includingcuopt-sh-client) to==NEXT.*. - conda: replace
-c rapidsaiwith-c rapidsai-nightlyand pin=NEXT.*. - Docker: use
nvidia/cuopt:NEXT.0a-cu12/-cu13/-cu13-ubi10instead oflatest-*.
Python API
Choose one — do not run both. The second install would override the first and can cause CUDA / package mismatch.
pip
- CUDA 13.x:
pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu13 - CUDA 12.x:
pip install --extra-index-url=https://pypi.nvidia.com cuopt-cu12
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago Changed · +9 lines 39851252344e
- 12d ago Changed 48f16f8b2a24
- 1mo ago First seen · 133 lines · 40 tokens per session scan A 37940e3e785a
cuopt-install is a skill published in the GitHub repository NVIDIA/cuopt (1,077 stars, last pushed today), licensed Apache-2.0. It adds 40 tokens to every session and 1,389 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to cuopt-install, differing in 21 lines, and is treated as a copy.
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