# Saturation Detection

> Determine when additional searching yields diminishing returns. Analyzes the latest expansion batch against existing corpus to judge continue/near-saturation/saturated. Used by snowball and systematic-survey.

- Skill: `yogsoth-ai/saturation-detection-3` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/saturation-detection-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/saturation-detection-3/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-22
- Page: https://skillmd.com/skills/yogsoth-ai/saturation-detection-3

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# Saturation Detection

Determine when to stop expanding — diminishing returns analysis.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent skill.

## Why Subagent

Saturation judgment requires comparing the entire existing corpus against the latest batch of new papers. The comparison is context-intensive and benefits from dedicated processing.