Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill design-discriminating-predictionAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
design-discriminating-prediction
Purpose
Design an observation or test whose outcomes distinguish among competing hypotheses.
Input contract
required: [hypotheses, current_evidence, target_comparison]
optional: [constraints, measurable_variables, candidate_interventions]
constraints: [predictions must differ on an observable outcome]Procedure
- Identify the unresolved contrast between hypotheses.
- Derive each hypothesis's prediction under candidate conditions.
- Select the condition maximizing interpretable separation within constraints.
- Specify outcome, measurement, and interpretation for each possible result.
Output contract
produces: [discriminating_test, prediction_table, measurement_plan, interpretation_rules]
delta_fields: [hypothesis_updates, decisions, uncertainties, recommended_jumps]Quality gates
- Predictions differ before the test is selected.
- Confounds and ambiguous outcomes are recorded.
Failure and counterexamples
Do not call a test discriminating when all hypotheses predict the same result or when the measurement cannot separate them.
Provenance map
resolved: design-discriminating-prediction

