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/assumption-stress-test

Systematic stress testing of assumptions — surface, classify by vulnerability,

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de-anthropocentric-research-engine
393200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill assumption-stress-test --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/assumption-stress-test

Context preview

The summary Claude sees to decide when to auto-load this skill.

Systematic stress testing of assumptions — surface, classify by vulnerability,

SKILL.md

assumption-stress-test.SKILL.md
name: assumption-stress-test
description: Systematic stress testing of assumptions — surface, classify by vulnerability,
  attack, assess fragility. Combines assumption-surfacing (shared), abp-vulnerability-classification,
  and clr-validation SOPs.
execution: tactic
dependencies:
  sops:
  - abp-vulnerability-classification
  - clr-validation
  - deep-insight-assumption-surfacing
  - deep-insight-paper-research

Assumption Stress Test

Systematically stress-test assumptions to find dangerous ones.

Operations

  • assumption-surfacing (shared) — extract all implicit assumptions
  • abp-vulnerability-classification — classify by load-bearing × vulnerable
  • clr-validation — validate causal logic of critical assumptions

Available SOPs

**Shared:** assumption-surfacing **Subagent:** abp-vulnerability-classification, clr-validation **Import:** paper-research

Execution Guidance

Surface all assumptions (shared SOP). Classify each by load-bearing × vulnerable matrix. Validate causal logic of most critical assumptions (High-Load × High-Vulnerable quadrant).

Minimum Yield

<HARD-GATE>
- assumptions surfaced: >= 5
- vulnerability classifications: >= 5
- CLR validations on critical assumptions: >= 2
- dangerous assumptions identified: >= 1
</HARD-GATE>

<!-- BEGIN available-tables (generated) -->

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | abp-vulnerability-classification | Classify 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. | | clr-validation | Apply Goldratt's 8 Categories of Legitimate Reservation to validate causal claims. Tests clarity, existence, sufficiency, and logical integrity. | | deep-insight-assumption-surfacing | Systematically extract implicit assumptions from methods, frameworks, or arguments. Identifies what is taken for granted without explicit justification. | | deep-insight-paper-research | Full-text paper reading via three-pass Keshav method. Import of literature-engine/literature-research skill. Authoritative source for claims about paper content. |

<!-- END available-tables (generated) -->

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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Repo: yogsoth-ai/de-anthropocentric-research-engine