/decompose-evaluation-metric

name: decompose-evaluation-metric
description: "Decompose an evaluation metric into rewarded signals, aggregation choices, polarity, ceiling effects, and Goodhart vulnerabilities."

decompose-evaluation-metric

Purpose

Decompose an evaluation metric into rewarded signals, aggregation choices, polarity, ceiling effects, and Goodhart vulnerabilities.

Input contract

required: [metric_definition, scored_outputs]
optional: [reference_standard, aggregation_rule, known_failure_cases]
constraints: [each component must have a declared direction and interpretation]

Procedure

1. Split the metric into primitive signals and aggregation operations. 2. Record polarity, scale, weighting, normalization, and ceiling/floor behavior. 3. Map rewarded shortcuts and construct-irrelevant incentives. 4. State interpretation limits and diagnostic needs.

If metric components are explicit but their link to the intended construct remains uncertain, consider `assess-construct-validity` as the next tactic.

Output contract

produces: [metric_components, aggregation_map, polarity_and_scale, ceiling_analysis, goodhart_risks]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]

Quality gates

• Component contributions and aggregation are reconstructible.
• A high score is not treated as capability evidence without construct support.

Failure and counterexamples

Do not infer metric meaning from its name or ignore nonlinear aggregation and clipping.

Provenance map

• `resolved: metric-decomposition`