feedback-distribution

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/feedback-distribution

Generates anonymized feedback report summarizing group judgment distribution

  • Solves the problem of aggregating and anonymizing group feedback
  • Depends on collected judgments and round number as input
  • Analyzes statistical summaries and extracts anonymized reasoning themes
  • Delivers structured JSON report with central tendency and anonymized insights

SKILL.md

.github/skills/feedback-distributionView on GitHub ↗
---
name: feedback-distribution
description: Create anonymized feedback report summarizing group judgment distribution for a given round.
execution: subagent
prompt: ./prompt.md
input: judgments[], round_n
used-by: structured-consensus
---

# Feedback Distribution

Create an anonymized feedback report that summarizes the distribution of judgments from the current round. The report shows statistical summaries and representative reasoning without attributing responses to specific perspectives.

## Execution

Spawn a subagent that takes the collected judgments and round number, then produces a structured feedback report showing central tendency, spread, and anonymized reasoning excerpts.

## Why Subagent

- Report generation is a bounded transformation task
- Anonymization logic must be carefully applied
- Output format is standardized across all rounds

## HARD-GATE

Output MUST contain: statistical summary (median, IQR or % distribution), anonymized reasoning themes, and round number. Report MUST NOT contain any perspective attribution.

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