yogsoth-ai/de-anthropocentric-research-engine

define-analysis-dimensions

Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics.

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使い方

インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
必要なツール、認証情報、対応環境を原文で確認します。
入力と成果物を指定し、出力を資料と照合します。

npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill define-analysis-dimensions

開始前の確認

導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。

リポジトリの原文

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define-analysis-dimensions

Purpose

Define approximately independent, measurable axes that span a problem, design, or validity space.

Input contract

yaml

required: [problem_or_artifact, target_outcome, dimension_ontology]
optional: [candidate_axes, domain_constraints, measurement_plan]
constraints: [each axis has semantics, type, direction, and measurement rule; correlated axes are flagged]

Procedure

Extract factors and conditions relevant to the target outcome.
Group candidates into dimensions and test approximate independence.
Define each dimension's domain, units, direction, and observability.
Return the dimension set with exclusions and unresolved dependencies.

If each analysis dimension has a clear meaning and admissible type, consider enumerate-dimension-values as the next tactic.

Output contract

yaml

produces: [dimension_set, axis_definitions, independence_notes, coverage_scope]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

Every retained axis is independent enough for the caller's analysis and is measurable under the supplied plan.
Parameter-space mapping covers all dimensions relevant to assertion validity; omitted axes require a reason.
Do not confuse a value/level with the dimension that contains it.