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Convergence Saturation Detection

ASecurity

Determines when to stop iterating — coverage threshold met or marginal

  • 417 stars
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  • Added September 5, 2026
research

Works with

  • mcp

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 5, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill convergence-saturation-detection --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: convergence-saturation-detection
description: Determines when to stop iterating — coverage threshold met or marginal
  returns diminishing. Shared across all campaigns.
execution: subagent
prompt: ./prompt.md
input: iteration_data[], threshold (float)
dependencies:
  sops:
  - spawn-agent
---

# Saturation Detection

Determines when an iterative convergence process has reached diminishing returns and should stop.

## Execution

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

## Why Subagent

Saturation detection requires analyzing trends across multiple iterations with fresh analytical perspective. Dedicated context prevents anchoring to earlier iterations.

## HARD-GATE

Must have ≥3 data points before declaring saturation. A single iteration cannot trigger a stop decision.

<!-- BEGIN available-tables (generated) -->

## 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. |

<!-- END available-tables (generated) -->

Files in this skill

  • SKILL.md1.1 KB
  • prompt.md1.3 KB

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