Skip to content
Automation
Skill

/classify-assumption-vulnerability

Classify assumptions by load-bearing importance and vulnerability.

From plugin
de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill classify-assumption-vulnerability --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/classify-assumption-vulnerability

Context preview

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

Classify assumptions by load-bearing importance and vulnerability.

SKILL.md

classify-assumption-vulnerability.SKILL.md
name: classify-assumption-vulnerability
description: "Classify assumptions by load-bearing importance and vulnerability."

classify-assumption-vulnerability

Purpose

Classify assumptions by load-bearing importance and vulnerability to determine which require stress testing.

Input contract

required: [assumption_register, dependent_claims]
optional: [evidence_strength, perturbation_bounds]
constraints: [importance and vulnerability must be scored or categorized separately]

Procedure

1. Link each assumption to the claims or causal edges it supports. 2. Assess consequence of failure and current evidential support. 3. Assign vulnerability class and prioritize assumptions for challenge.

Output contract

produces: [vulnerability_map, load_bearing_rank, challenge_queue]
delta_fields: [findings, assumption_updates, uncertainties, decisions]

Quality gates

  • No assumption is ranked without a dependent claim and an evidence-status note.

Failure and counterexamples

Mark vulnerability unknown when consequence or support cannot be assessed; do not silently assign low risk.

Provenance map

  • `deep-insight/abp-vulnerability-classification`: resolved.
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.

Get the whole plugin