hikaru122700/cim-cac-maxcut-g22/stat-result-validator

Claude Code and agent skill by hikaru122700/cim-cac-maxcut-g22

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Validate statistical research outputs for formulation quality, method-to- problem alignment, theory presence, experimental evidence, fair comparison, artifact completeness, and final-claim consistency.

Install

npx vskill@latest install hikaru122700/cim-cac-maxcut-g22/stat-result-validator

SKILL.md

The same SKILL.md was published earlier as aiming-lab/autoresearchclaw/stat-result-validator.

Stat Result Validator

Overview

Use this skill after formulation, method proposal, theory, experimental evaluation, comparison, and result synthesis. It checks whether the final result is supported by a coherent statistical research chain.

Artifact Checks

Required for all topics:

text
progress/<TOPIC_ID>/step0_problem_formulation.md
progress/<TOPIC_ID>/step1_method_proposal.md
progress/<TOPIC_ID>/step2_theory_analysis.md
progress/<TOPIC_ID>/step3_experimental_evaluation.md
progress/<TOPIC_ID>/step4_comparison.md
progress/<TOPIC_ID>/step5_result_synthesis.md
progress/<TOPIC_ID>/step6_quality_audit.md
experiments/<TOPIC_ID>/config.yaml
experiments/<TOPIC_ID>/results/metrics.json
experiments/<TOPIC_ID>/results/run_manifest.json
experiments/<TOPIC_ID>/results/comparison_summary.md
experiments/<TOPIC_ID>/results/claim_verdicts.json
experiments/<TOPIC_ID>/report/paper.md
experiments/<TOPIC_ID>/README.md

Analysis-specific source files and raw outputs are determined by the experiment plan and should live under experiments/<TOPIC_ID>/src/ and experiments/<TOPIC_ID>/results/.

Formulation Checks

The formulation must define:

  • Observed data and sampling regime
  • Data model or data source
  • Target parameter, decision, prediction, or risk
  • Assumptions
  • Claims or hypotheses
  • Evaluation criteria
  • Theory targets

Blocking failures:

  • No target or estimand.
  • Claims cannot be measured.
  • Assumptions are absent or incompatible with the proposed method.
  • Evaluation criteria do not answer the research question.

Method Checks

Verify that:

  • The proposed method addresses the formulated target.
  • Baselines are meaningful.
  • Ablations isolate important design choices.
  • Diagnostics are specified for likely failure modes.
  • Method outputs match the metrics and theory targets.

Theory Checks

Theory may be rigorous or partial, but it must be explicit.

Check for:

  • Definitions and assumptions.
  • Proposition, theorem, derivation, counterexample, or clearly labeled

heuristic analysis.

  • Predicted empirical patterns.
  • Limitations and regimes not covered.

Blocking failures:

  • No theory section at all.
  • Theory analyzes a different target than the formulation.
  • Final claims are stronger than the theory supports.

Experimental Evidence Checks

Check that:

  • Experiments test the formulated claims.
  • Conditions are aligned with assumptions and stress tests.
  • Proposed method, baselines, and ablations are run on comparable conditions.
  • Failure counts are recorded.
  • Runtime reductions are recorded in run_manifest.json.
  • Metrics are grouped at the right level.

Comparison Checks

Verify that:

  • Comparisons include proposed method vs baseline.
  • Ablations are interpreted.
  • Experimental patterns are compared with theoretical predictions.
  • Disagreements between theory and experiments are discussed.
  • Claim verdicts cite both theoretical and empirical support when available.

Final Claim Checks

Every final claim must be traceable to:

text
formulation -> method -> theory -> experiment -> comparison

Use:

  • PASS: formulation, theory, experiments, and comparisons support the claims.
  • WARN: usable but has limitations that must be disclosed.
  • FAIL: missing formulation, theory, evidence, or fair comparison prevents a

valid conclusion.

Security

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

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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