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paperlab_hypothesis_to_benchmark_matrix

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Convert PaperLab research questions into falsifiable hypotheses, benchmark matrices, statistical tests, and acceptance criteria for computational papers.

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Source SKILL.md: https://github.com/equinor/neqsim/blob/HEAD/neqsim-paperlab/skills/paperlab_hypothesis_to_benchmark_matrix/SKILL.md

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PaperLab Hypothesis to Benchmark Matrix

When to Use

USE WHEN: a paper idea needs to become an executable benchmark plan before benchmark-runner starts work.

Required Elements

Every hypothesis must define:

  • claim wording,
  • null expectation or baseline,
  • controlled variables,
  • varied variables,
  • response metric,
  • minimum case count,
  • statistical test or deterministic acceptance criterion,
  • expected failure or boundary modes,
  • source of reference values when relevant.

Benchmark Matrix Pattern

{
  "hypotheses": [
    {
      "id": "H1",
      "claim": "candidate solver reduces failures for near-critical mixtures",
      "metric": "failure_rate_pct",
      "baseline": "existing solver",
      "test": "paired proportion test",
      "acceptance": "p < 0.05 and absolute reduction >= 5 percentage points",
      "case_categories": ["near-critical", "two-phase", "trace-water"]
    }
  ]
}

Pass Criteria

  • No claim exists without a metric.
  • Boundary cases are explicit, not accidental.
  • Benchmark cases can be regenerated from configuration.
  • The matrix is small enough to rerun during revision.

Safety Rules

  • Do not retrofit metrics after seeing results unless clearly marked exploratory.
  • Do not mix validation data and training/tuning data without disclosure.
  • Do not use proprietary benchmark inputs in public capsules unless cleared.