assumption-surfacing

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/assumption-surfacing

Systematically identify implicit assumptions in methods, frameworks, or arguments

  • Identifies what is taken for granted without explicit justification within target texts.
  • Depends on careful line-by-line reading and context provided by the calling strategy.
  • Decides what to surface based on patterns of implicit assumption detection across different contexts.
  • Delivers a categorized table of identified assumptions back to the user or agent.

SKILL.md

.github/skills/assumption-surfacingView on GitHub ↗
---
name: assumption-surfacing
description: Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification.
execution: subagent
prompt: ./prompt.md
input: target_text (string), context (string)
used-by: insight, sensitivity-analysis, problem-reformulation
---

# Assumption Surfacing

Systematically extract implicit assumptions from methods, frameworks, or arguments.

## Execution

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

## Why Subagent

Assumption detection requires careful line-by-line reading with a skeptical lens — benefits from dedicated context.

## Budget

Quantity target is set by the calling strategy's budget table. This SOP executes one unit = one assumption surfacing pass producing a categorized assumption table.

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.