consensus-measurement

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Compute consensus score from collected judgments using the appropriate statistical method.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: consensus-measurement description: Compute consensus score from collected judgments using the appropriate statistical method. execution: subagent prompt: ./prompt.md input: judgments[] dependencies: sops: - spawn-agent

Consensus Measurement

Compute a quantitative consensus score from the collected judgments. Automatically selects the appropriate measurement method based on data type (IQR for continuous, percentage agreement for categorical, Kendall's W for rankings).

Execution

Spawn a subagent that analyzes the judgments array, determines the appropriate consensus metric, computes the score, and reports whether the consensus threshold is met.

Why Subagent

  • Statistical computation is a pure function with clear input/output
  • Method selection logic is self-contained
  • Result feeds directly into round-decision

HARD-GATE

Output MUST contain: consensus_score (numeric), method_used (string), threshold_met (boolean), and interpretation (string). Score must be computed, not estimated.

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.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill consensus-measurement
Repository Details
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article Path SKILL.md
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