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 aggregate-rankingAvant 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.
aggregate-ranking
Purpose
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Input contract
yaml
required: [candidate_set, criterion_results, aggregation_rule]
optional: [tie_break_rule, missing_value_policy, uncertainty_annotations]
constraints: [criterion directions and scales must be declared; no silent imputation]Procedure
- Align candidate identifiers, criterion directions, units, and validity flags.
- Apply the supplied aggregation rule without changing weights or directions.
- Propagate missingness and uncertainty; apply the declared tie-break only after aggregation.
- Return ordered candidates with component contributions and recommendation status.
Output contract
yaml
produces: [ordered_recommendation, aggregate_scores, contribution_table, unresolved_comparisons]
delta_fields: [findings, evidence_updates, decisions, uncertainties]Quality gates
- Every ranked candidate has a traceable value for each required criterion or an explicit unresolved marker.
- Aggregation reproduces the supplied rule and preserves criterion direction.
- Ties and sensitivity to tie-breaks are reported.
Parameterization
Caller supplies candidate schema, criterion scales/directions, weights or aggregation formula, tie-break rule, and missing/uncertainty policy.
Failure and counterexamples
Reject mixed units without normalization; reject a recommendation when a hard criterion is unresolved.
Provenance map
- resolved: priority-synthesis
- resolved: scoring-synthesis
Preserved source criteria ledger
| source | criterion |
|---|---|
| priority-synthesis | All scoring dimensions are present for every gap. |
| priority-synthesis | Weight vector sums to 1.0 within +/-0.001. |
| priority-synthesis | Priority list is sorted descending; ties use feasibility sub-score. |
| priority-synthesis | Top N is N=min(3,total gaps) and includes attack-path suggestions. |
| scoring-synthesis | Final recommendation includes recommended alternative, confidence, key assumptions, and risk warnings. |
