academic-experiments

SKILLWorkflowcommunity
v0.0.0joshua-zyyMITUpdated 1mo agoSource →

Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, ru

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1mo agoLast update
Skill
Authorjoshua-zyy
Version0.0.0
LicenseMIT
CategoryWorkflow
Formatsskill.md
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Audit, run, or verify experimental evidence for CS/AI/ML papers. Produces Evidence Inventory with evidence_type annotations (newly_run/preexisting_artifact/user_claim) and Protocol Risk assessments. Use when: checking if experiment results are reproducible, auditing existing experiment artifacts, running minimal reproducible commands, evaluating checkpoints without full retraining, documenting pro

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