Compute consensus score from collected judgments using the appropriate statistical method.
Scanned 6/2/2026
Install to Claude Code
Skills Directorynpx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill consensus-measurement --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: consensus-measurement
description: Compute consensus score from collected judgments using the appropriate statistical method.
execution: subagent
prompt: ./prompt.md
input: judgments[]
used-by: structured-consensus
---
# 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.
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