# Survey Triangulation

> Require three independent retrieval paths per factual claim; score agreement 3/3, 2/3, or contested. Use when single-source RAG is insufficient. Scope boundary: double-entry gate → `double-entry-claims`.

- Skill: `catcorner22/survey-triangulation` (Agent Skill)
- Install (CLI): `npx skillmds@latest add catcorner22/survey-triangulation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/catcorner22/survey-triangulation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: CatCorner22 (https://skillmd.com/u/catcorner22)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/catcorner22/survey-triangulation

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# Survey triangulation validation

**#8** · **Domain:** Land surveying · **Category:** quality-control · **Difficulty:** 🟡 Medium

## Core principle

Never trust one measurement — intersect from three known positions.

## AI problem addressed

Top-ranked single source and echo chambers create false confidence.

## Implementation

| Agreement | Action |
| 3/3 | Include, cite all three |
| 2/3 | Include with caveat, flag outlier |
| Contested | Label disputed explicitly |
Use different queries, source types, and time snapshots.

## Boundaries

- Prototype as prompt scaffold (🟢) before full pipeline middleware (🟡/🔴)
- Category router: **`ai-transfer-quality-control`**
- Catalog: **`ai-transfer-ecosystem-primer`**
- Runtime plugin id: `triangulation_validator`
- Also implements: `fact_check_deep`
- Merge notes: Deep fact-check is this skill plus `double-entry-claims`, not a third skill.