saturation-detection

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/saturation-detection

Determine when expanding search yields diminishing returns

  • Identifies when additional searching against an existing corpus does not yield significant new information.
  • Depends on comparing a latest batch of data with the existing corpus to decide continuation or saturation.
  • Uses context-intensive analysis for accurate judgment, leveraging dedicated processing power.
  • Delivers results in form of recommendations to stop expanding or continue search based on saturation criteria.

SKILL.md

.github/skills/saturation-detectionView on GitHub ↗
---
name: saturation-detection
description: 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.
execution: subagent
prompt: ./prompt.md
input: existing_corpus (string), latest_batch (string)
used-by: literature-survey, patent-mining, benchmark-archaeology
---

# 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.

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