metric-decomposition

Business

Decompose composite metrics into constituent signals, analyze polarity and ceiling effects

QUICK START

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/metric-decomposition/SKILL.md

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Metric Decomposition SOP

Decompose a benchmark's evaluation metric into its constituent signals to understand what is actually being measured, identify ceiling effects, and detect polarity issues.

Input

metric_name: Name of the metric (e.g., "F1", "BLEU", "Pass@k", "ELO")
metric_definition: Mathematical definition or description of how the metric is computed
score_distribution: Known score distribution data (top scores, median, floor)

Procedure

Parse metric formula into component signals
Identify what each component rewards/penalizes
Analyze ceiling and floor effects
Check for known pathologies (metric gaming, Goodhart's law instances)
Assess granularity and discriminative power at current SOTA level

Output

Structured decomposition showing constituent signals, their weights, ceiling effects, and known pathologies.

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

SOP	When to use
spawn-agent	Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent.