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hypothesis-formation-saturation-detection

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

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/hypothesis-formation-saturation-detection/SKILL.md

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Saturation Detection

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

HARD-GATE

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)