# Experiment Execution Saturation Detection

> Shared SOP: detect information saturation — know when to stop searching/analyzing

- Skill: `yogsoth-ai/experiment-execution-saturation-detection` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/experiment-execution-saturation-detection`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/experiment-execution-saturation-detection/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/experiment-execution-saturation-detection

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# Saturation Detection

Detect information saturation — know when to stop searching or analyzing.

## Execution

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

## Why Subagent

Saturation assessment requires independent evaluation of marginal information gain, avoiding confirmation bias from the main flow.

## Saturation Criteria

- New information no longer changes conclusions
- New sources repeat existing findings
- Coverage reaches preset threshold
- Marginal information gain falls below threshold

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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