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 build-current-reality-treeAvant 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.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
build-current-reality-tree
Purpose
Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set.
Input contract
yaml
required: [undesirable_effects, causal_evidence]
optional: [candidate_causes, system_boundary]
constraints: [each AND/OR connection requires a stated causal rationale]Procedure
- Normalize undesirable effects into observable statements.
- Connect effects with sufficient-cause relationships, marking AND requirements.
- Trace converging chains to a small root set and test each link.
Output contract
yaml
produces: [current_reality_tree, root_cause_candidates, causal_rationale]
delta_fields: [findings, assumption_updates, uncertainties, decisions]Quality gates
- Every effect has an incoming explanation or is marked unexplained; root candidates explain multiple effects where evidence supports it.
Failure and counterexamples
Do not infer causality from co-occurrence, and do not force a single root when independent roots remain.
Provenance map
deep-insight/current-reality-tree: resolved.
