hypothesis-formation-saturation-detection

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Shared SOP: judge whether the current activity has reached information saturation

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

name: hypothesis-formation-saturation-detection description: 'Shared SOP: judge whether the current activity has reached information saturation' version: 1.0.0 category: hypothesis-formation type: sop shared: true campaigns:

  • gap-prioritization
  • hypothesis-formulation
  • research-question input: Cumulative output of the current activity + the most recent round's increment output: Saturated/not-saturated verdict + rationale dependencies: skills:
    • subagent-spawning

Saturation Detection

Judge whether the current activity has reached information saturation — decide whether to keep iterating.

HARD-GATE

Input must contain: output from at least 2 iteration rounds (the increment needs to be compared).

Pipeline

  1. Precondition check: is there enough iteration data to compare
  2. Increment analysis: what the most recent round added compared to the previous one
  3. Novelty judgment: whether the added content provides genuinely new information
  4. Convergence detection: whether the increment is decreasing
  5. Saturation verdict: saturated / not saturated
  6. Output: verdict + rationale + recommendation

Saturation Criteria

Saturated (should stop iterating):

  • The most recent round produced no new substantive information
  • The added content is mostly restatement or minor tweaks of what is already known
  • The increment contributes < 5% to the final output

Not saturated (should keep iterating):

  • The most recent round produced a new dimension/perspective/information
  • The increment makes a substantive contribution to the final output
  • There are known but unexplored directions

Output Format

Judgment: SATURATED / NOT_SATURATED
Confidence: HIGH / MEDIUM / LOW
Rationale: [one-sentence rationale]
Last round increment: [what the most recent round added]
Recommendation: STOP / CONTINUE (with direction)
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill hypothesis-formation-saturation-detection
Repository Details
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