SOP for scoring empty cells by novelty potential — how surprising and
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill knowledge-structuring-novelty-scoring --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: knowledge-structuring-novelty-scoring
description: SOP for scoring empty cells by novelty potential — how surprising and
valuable would this combination be?
execution: sop
---
# Novelty Scoring
Score empty cells (unexplored combinations) by their novelty potential.
## Tool
`vault_search` + CC reasoning
## Protocol
1. For each empty cell, assess:
- Distance from nearest occupied cell (more distant = more novel)
- Feasibility (are there physical/logical constraints?)
- Potential impact (would this combination solve known problems?)
2. Score 0-10: novelty (0=obvious, 10=paradigm-shifting)
3. Flag top-scoring cells as priority research opportunities
## HARD-GATE
<HARD-GATE>
Must provide explicit reasoning for each score, not just a number.
</HARD-GATE>
## Yield
Returns: `{ scored: Array<{combination: string, score: number, reasoning: string}> }`
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