wiki-query
PApaperclipai/paperclip102k3,122 new stars in the last 7 days
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.
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]
produces: [ordered_recommendation, aggregate_scores, contribution_table, unresolved_comparisons]
delta_fields: [findings, evidence_updates, decisions, uncertainties]
Caller supplies candidate schema, criterion scales/directions, weights or aggregation formula, tie-break rule, and missing/uncertainty policy.
Reject mixed units without normalization; reject a recommendation when a hard criterion is unresolved.
| 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. |
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