Add latent-objective recognition eval to multi-objective skill

[cafzal]

Description

Adds a fifth eval to the cuopt-multi-objective-exploration skill — multiobj-explore-eval-005-latent-objective — covering the boundary the existing four don't: a problem stated with a single objective while a second objective sits latent in the data, unstated.

The current evals all hand the agent both objectives (001 interpret, 002 explore, 004 dual-as-slope) or are explicitly single-objective (003 decoy). None test recognizing a latent objective. This one grades whether the skill makes the agent surface the latent cost objective and trace the supply-vs-cost frontier — rather than optimizing the stated objective alone or silently folding cost into a self-chosen weighted blend (maximize supply − λ·cost). It brackets the skill's activation boundary opposite the 003 decoy.

Behavioral eval (expected_script: null, LLM-graded on the behavior list), same house style as 001/002/004; validate_skills.sh picks up the new array entry and the signature / BENCHMARK.md / skill-card regenerate via NVSkills-Eval. The latent-objective shape is the max-supply supply-vs-cost case validated on cuOpt (Tesla T4) in NVIDIA/cuopt-examples#157.

Checklist

• I am familiar with the Contributing Guidelines.
• Testing
  • New or existing tests cover these changes
  • Added tests
  • Created an issue to follow-up
  • NA
• Documentation
  • The documentation is up to date with these changes
  • Added new documentation
  • NA

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[coderabbitai]

📝 Walkthrough

Walkthrough

A single new evaluation case, multiobj-explore-eval-005-latent-objective, is appended to the evals array in skills/cuopt-multi-objective-exploration/evals/evals.json. The case defines a multi-period production planning problem with unstated cost objectives and specifies expected skill behavior for latent-objective discovery via epsilon-constraint Pareto tracing.

Changes

Latent Objective Eval Case

Layer / File(s)

Summary

New latent-objective evaluation case skills/cuopt-multi-objective-exploration/evals/evals.json

Adds multiobj-explore-eval-005-latent-objective with a question describing a production planning scenario where cost data is present but not in the stated objective. Specifies expected outputs: epsilon-constraint Pareto frontier tracing, exchange-rate estimation via adjacent-point differencing (MILP/no duals), interpretable operating points with knee flagging, and exclusion of single-plan collapse or self-chosen weighted-sum behaviors.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

Possibly related PRs

• NVIDIA/cuopt#1406: Updates cuopt-multi-objective-exploration evaluation expectations and documentation on exchange-rate derivation (dual when available, otherwise differencing), directly matching the method specified in the new eval case.

Suggested labels

non-breaking, improvement

Suggested reviewers

• mlubin
• rgsl888prabhu
• tmckayus

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and specifically identifies the main change: adding a new evaluation case for latent-objective recognition to the multi-objective exploration skill.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Description check	✅ Passed	The PR description clearly explains the new evaluation case, its purpose, and how it complements existing evaluations by testing latent objective recognition.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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[cafzal]

@rgsl888prabhu small skill eval – adds the latent-objective case (the under-trigger boundary the other four miss) to cuopt-multi-objective-exploration, mirroring the existing four. Ready when you/Miles have a cycle.