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Consensus Building

ASecurity

From multiple perspectives, build genuine consensus on what's true

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  • Added February 8, 2026
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A100/100

Scanned February 12, 2026

npx -y skills add majiayu000/claude-skill-registry --skill consensus-building --agent claude-code

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SKILL.md
---
name: consensus-building
description: From multiple perspectives, build genuine consensus on what's true
tier: π
morpheme: π
dewey_id: π.6.3.0
dependencies:
  - perspective-aggregation
  - pattern-synthesis
  - divergence-control
---

# Consensus Building

## Purpose

Multiple instances have found different answers. Perspective aggregation shows the map. Pattern synthesis found what persists.

**Consensus building asks:** What can we actually agree on?

Not compromise (blend all views). **Genuine agreement** (here's what's true according to all of us).

## The Difference

**Compromise:** Split the difference between A and B
**Consensus:** Find C that A, B, and D all agree is true

## Core Pattern

```
Instance A: Believes X ─┐
Instance B: Believes Y ─┼─→ Consensus Builder
Instance C: Believes Z ─┤    (find S where all agree)
Instance D: Believes W ─┘

Result: All 4 agree: "S is true"
        Because: [reasons A agrees, B agrees, C agrees, D agrees]
```

## Key Features

1. **Common Ground Detection** - Where do all instances agree?
2. **Confidence Ranking** - Which agreements are strongest?
3. **Evidence Collection** - Why does each instance agree?
4. **Dissent Documentation** - What do they still disagree on?
5. **Certainty Quantification** - How confident is the consensus?

## Implementation

See: `.claude/skills/consensus-building/consensus_engine.py`

## What Consensus Means

Not unanimity. Not compromise.

**Consensus:** Everyone can say honestly "I find this true based on my analysis"

## Types of Consensus

1. **Strong Consensus** - All instances strongly agree
2. **Weak Consensus** - All agree, but some less strongly
3. **Qualified Consensus** - All agree *under certain conditions*
4. **Partial Consensus** - Some aspects agreed, others divergent
5. **Null Consensus** - Genuine disagreement, no consensus possible

## When Consensus Fails

If N instances can't agree on anything, that's valuable information too.

It means: "This problem has irreducible uncertainty" or "The question itself is ambiguous"

## Payment Anchor
DOGE: DC8HBTfn7Ym3UxB2YSsXjuLxTi8HvogwkV

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