equinor/neqsim/paperlab-hypothesis-to-benchmark-matrix

Claude Code and agent skill by equinor/neqsim

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

Install

npx vskill@latest install equinor/neqsim/paperlab-hypothesis-to-benchmark-matrix

SKILL.md

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

json
{
"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.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

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