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/aggregate-ranking

Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill aggregate-ranking --agent claude-code

SKILL.md

aggregate-ranking.SKILL.md
name: aggregate-ranking
description: "Aggregate criterion or comparison results into an ordered recommendation under an explicit rule."

aggregate-ranking

Purpose

Aggregate criterion or comparison results into an ordered recommendation under an explicit rule.

Input contract

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

1. Align candidate identifiers, criterion directions, units, and validity flags. 2. Apply the supplied aggregation rule without changing weights or directions. 3. Propagate missingness and uncertainty; apply the declared tie-break only after aggregation. 4. Return ordered candidates with component contributions and recommendation status.

Output contract

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. |

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@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

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Questions about aggregate-ranking.

Which coding agents can use aggregate-ranking?
aggregate-ranking installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.