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 normalize-gapAvant 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.
normalize-gap
Purpose
Normalize heterogeneous research-gap records into a comparable schema before prioritization or decision operations.
Input contract
yaml
required: [gap_records, gap_schema]
optional: [evidence_records, domain_taxonomy, coding_rules]
constraints: [normalization preserves source wording, uncertainty, and gap type]Procedure
- Map each record to problem, evidence, population, mechanism, and consequence fields.
- Normalize terminology, units, and scope without erasing source distinctions.
- Mark unknown, conflicting, and inferred fields.
- Emit comparable gap records with traceability to originals.
Output contract
yaml
produces: [normalized_gap_records, field_mapping, conflict_log, traceability_map]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]Quality gates
- Every normalized field traces to source text or is marked inferred.
- Conflicting gap definitions remain visible.
Failure and counterexamples
Do not collapse different gaps because they share a label or convert missing evidence into a low-priority score.
Provenance map
resolved: normalize-gap
