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/cuopt-numerical-optimization-formulation

@e0cd22d
by NVIDIA Corporationnvidia/skills3.5k stars
424

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

Use this Skill: https://skilld.dev/gh/nvidia/skills/cuopt-numerical-optimization-formulation

This session only. Nothing lands on disk.

BENCHMARK.md

≈1.2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Skill Benchmark: cuopt-numerical-optimization-formulation

✅ Overall verdict: PASS — Recommended for publication

Publication Recommendation

Recommended for publication based on the completed evaluation evidence in this report.

Evaluation Metadata

  • Skill: cuopt-numerical-optimization-formulation
  • Evaluation date: 2026-08-05
  • Evaluator version: 1.0.0
  • Agents: Claude Code (aws/anthropic/bedrock-claude-opus-4-8), Codex (openai/openai/gpt-5.5)
  • Tasks: 3 evaluation tasks (3 positive)
  • Dataset digest: sha256:7f39d48b2b7e50bd2a24f83c7f6172f1f16b1895a59e237bb4c345cf690cb71e (skill-evaluator-dataset-snapshot/1)
  • Attempts per task: 1
  • Environment: k8s-sandbox
  • Tier 3 evidence: required for publication

Each task attempt ran in its own isolated sandbox pod.

What This Report Answers

The three-tier evaluation checks whether the skill:

  • is safe to use;
  • produces correct answers;
  • is discovered and activated when needed;
  • helps the agent complete the user's goal and expected workflow; and
  • avoids wasted skill and tool usage.

Results at a Glance

Measure Claude Code (Baseline → Skill Uplift) Codex (Baseline → Skill Uplift)
Overall 59% → 100% (+41 points) 58% → 97% (+39 points)
Security 100% → 100% (±0 points) 100% → 100% (±0 points)
Correctness 100% → 100% (±0 points) 100% → 100% (±0 points)
Discoverability 0% → 100% (+100 points) 0% → 94% (+94 points)
Effectiveness 97% → 100% (+3 points) 91% → 90% (-1 points)
Efficiency 0% → 100% (+100 points) 0% → 100% (+100 points)

How to read this table: baseline is the same task attempted without the target skill. Uplift is skill score - baseline score, shown in percentage points.

Example: 47% → 92% (+45 points) means the skill-assisted run scored 92%, 45 percentage points above its 47% no-skill baseline.

Tier Status

Tier Purpose Status Evidence
Tier 1 Static validation PASSED WITH OBSERVATIONS 1 validator(s); 4 finding(s)
Tier 2 Semantic deduplication NOT RUN No result was recorded
Tier 3 Live agent evaluation PASS 2 agent(s); 3 task(s)

Findings and Observations

<details> <summary>Show detailed findings and successful checks</summary>
  • MEDIUM SCHEMA/frontmatter_field_placement: Root field 'version' is ignored; use 'metadata.version' (skills/cuopt-numerical-optimization-formulation/SKILL.md)
  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Instructions' (skills/cuopt-numerical-optimization-formulation/SKILL.md)
  • MEDIUM SCHEMA/body_recommended_section: Missing recommended section: '## Examples' (skills/cuopt-numerical-optimization-formulation/SKILL.md)
  • LOW SCHEMA/author_format: Author must be of the form 'Name <email@host>' (skills/cuopt-numerical-optimization-formulation/SKILL.md)
</details>

Scoring Methodology

<details> <summary>Show dimension definitions, source signals, and thresholds</summary>
Dimension Question Scored signals
Security Is it safe to use? security (100%)
Correctness Is the answer correct? accuracy (100%)
Discoverability Was the right skill loaded when needed? skill_execution (100%)
Effectiveness Did the skill help complete the task? goal_accuracy (50%) + behavior_check (50%)
Efficiency Did it avoid wasted tool or skill usage? skill_efficiency (100%)
  • Dimension bands: PASS at 50% or above; NEUTRAL from 40% to below 50%; FAIL below 40%.
  • Overall Tier 3 lift: PASS at +5 points or more; FAIL at -10 points or less; values between those bands are NEUTRAL.
  • Overall verdict: PASS only when every configured dimension passes for at least one supported agent. Lift is reported as diagnostic evidence and does not override this gate.
  • The 50% attempt pass threshold is a separate per-task gate; it is not the dimension pass threshold.
  • Effectiveness is the equal-weight mean of goal completion (goal_accuracy) and expected workflow adherence (behavior_check).
  • Token efficiency is a separate report-only signal. It does not change a dimension score or the overall verdict.

Signals present in this run:

  • security (Security): unsafe operations, secret leakage, and unauthorized access.
  • skill_execution (Skill Execution): whether the expected skill was found and executed.
  • skill_efficiency (Efficiency): routing quality, workspace-aware skill reads, and productive tool use.
  • accuracy (Accuracy): final-answer correctness against the reference answer.
  • goal_accuracy (Goal Accuracy): whether the user's goal was achieved.
  • behavior_check (Behavior Check): whether the expected workflow behavior was followed.
</details>

Freshness

Regenerate this benchmark when the skill, evaluation dataset, target agent/model, evaluator version, environment, or scoring policy changes.

Source: SKILL.md on GitHub

No alerts1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    The skill provides conceptual frameworks and parsing logic for formulating numerical optimization problems (LP, MILP, QP). It contains no executable code, network operations, or sensitive data access. All external links point to official NVIDIA documentation or repositories.

  • Socket1mo

    No alerts

  • Snyk1mo

    Risk: LOW · No issues

Signed by skilld at e0cd22d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 2 months ago
version
26.10.00
Other metadata
metadata
{
  "author": "NVIDIA cuOpt Team",
  "tags": [
    "linear-programming",
    "milp",
    "qp",
    "formulation",
    "concepts"
  ]
}

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