cuopt-multi-objective-exploration SKILL.md skillA
cuopt-multi-objective-exploration from nvidia/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia/skills/cuopt-multi-objective-exploration@v26.12.00Pins v26.12.00 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia/skills
- Path
skills/cuopt-multi-objective-exploration/SKILL.md- Versions recorded
- 5
- Latest version
- v26.12.00, committed Oct 25, 2026
- First version recorded
- Jun 29, 2026
- Size
- 15,383 bytes
- Repository stars
- 3,871
- License
- Apache-2.0
Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Multi-Objective Exploration cuOpt optimizes **one** objective per solve. Many real problems have several objectives that pull against each other — cost vs. service level, return vs. risk, makespan vs. overtime, distance vs. vehicle count. A single solve answers "what's optimal *for one particular weighting*," but it hides the tradeoff the user actually needs to see. This skill turns a sequence of single-objective cuOpt solves into a **Pareto frontier** — the set of solutions where you can't improve one objective without giving up another — and gives the discipline to read it. It adds no solver features; it orchestrates the LP / MILP / QP solves already covered by the formulation and API skills. ## When this applies Reach for this workflow when the problem has **two or more objectives with no agreed-upon weighting**, signalled by language like: - "balance X and Y", "trade off", "as cheap as possible *without* hurting service" - "minimize cost *and* maximize coverage", "I want options, not one answer" - any objective the user is willing to relax in exchange for another …
Read the whole file at its exact version.
How to install
mdr add nvidia/skills/cuopt-multi-objective-exploration@sha256:8ef889c64cfa0024The line at the top of this page pins the label v26.12.00, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_gevmokiwsaoz55uy)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 29, 2026 and Oct 25, 2026, about one every 29 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v26.12.00 latest | 2026-10-25 | 3aecfe9 | 15,383 B | A | view · diff |
| v26.10.00 | 2026-08-07 | b3123b1 | 15,639 B | A | view · diff |
| v26.08.00 | 2026-08-03 | 08d1f34 | 15,638 B | A | view · diff |
| v26.08.00 | 2026-07-02 | 63c02e1 | 11,855 B | A | view · diff |
| v26.08.00 | 2026-06-29 | 2dceed6 | 11,883 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15383 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
nvidia/skills · 3,871 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gevmokiwsaoz55uy GET https://markdownregistry.com/api/v1/resolve?ref=nvidia/skills/cuopt-multi-objective-exploration GET https://markdownregistry.com/api/v1/blob/8ef889c64cfa0024b3818ef78ab5c4c52cbabf9c78b4e6660cea2336fc8c2c46
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.