coverage-scoring

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/coverage-scoring

Calculates coverage completeness, redundancy, and gap severity from a coverage map

  • Evaluates how well a portfolio covers niches and identifies underrepresented areas
  • Uses a coverage map input to analyze candidate-to-niche relationships
  • Applies scoring algorithms to measure completeness, redundancy, and gap severity
  • Returns numeric scores and a ranked list of gaps for actionable insights

SKILL.md

.github/skills/coverage-scoringView on GitHub ↗
---
name: coverage-scoring
description: Compute coverage completeness, redundancy, and gap severity scores from a coverage map.
execution: subagent
prompt: ./prompt.md
input: coverage_map
used-by: portfolio-optimization
---

# Coverage Scoring

Compute quantitative scores for portfolio coverage completeness, redundancy levels, and gap severity from the candidate-to-niche coverage map.

## Execution

Spawns a subagent that applies scoring algorithms to the coverage map and produces actionable metrics.

## Why Subagent

Scoring requires consistent application of metrics across the full coverage map with attention to edge cases (partial coverage, weighted importance). Focused execution ensures no niches are overlooked.

## HARD-GATE

Output must include a numeric coverage score (0-1), redundancy score (0-1), and severity-ranked gap list. All scores must be justified with methodology.

More from yogsoth-ai/de-anthropocentric-research-engine

SkillDescription
abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
ablation-component-mappingMap system architecture to ablatable units for ablation studies
ablation-designDesign ablation studies to isolate component contributions in ML systems
ablation-executionRemove components one by one from a system, record the response/impact of each removal.
abp-vulnerability-classificationClassify assumptions on 2 axes — load-bearing (how much conclusion depends on it) × vulnerable (how likely to be false). Focuses attention on High-Load × High-Vulnerable quadrant.
abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
abstraction-ladderPerform bisociation at multiple abstraction levels
abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.