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Automation
Skill

/challenge-assumption

Construct a strong countercase or alternative to an assumption and assess consequence if it fails.

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

Context preview

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

Construct a strong countercase or alternative to an assumption and assess consequence if it fails.

SKILL.md

challenge-assumption.SKILL.md
name: challenge-assumption
description: "Construct a strong countercase or alternative to an assumption and assess consequence if it fails."

challenge-assumption

Purpose

Construct a strong countercase or alternative to an assumption and assess the consequence if it fails.

Input contract

required: [assumption, claim_or_decision, supporting_evidence]
optional: [alternative_worlds, dependency_graph, challenge_mode]
constraints: [separate assumption, countercase, evidence, and impact]

Procedure

1. State the assumption's role and dependencies in the target claim. 2. Build the strongest evidence-backed countercase and at least one alternative assumption. 3. Propagate consequences through dependent claims and identify discriminating observations. 4. Rate threat severity and confidence using the caller's scale.

Output contract

produces: [countercase, alternative_assumptions, consequence_analysis, discriminating_tests]
delta_fields: [findings, evidence_updates, uncertainties, recommended_jumps]

Quality gates

  • Countercase attacks the assumption's strongest support, not a weak proxy.
  • At least one alternative assumption and one impact path are explicit.
  • Confidence distinguishes empirical threat from theoretical possibility.

Parameterization

Caller supplies assumption schema, evidence standard, challenge mode, consequence model, severity/confidence scales, and test budget.

Failure and counterexamples

Reject a challenge that merely negates the assumption without mechanism or evidence.

Provenance map

  • concept: convergence/assumption-challenge
  • resolved: benchmark-challenge
  • resolved: counter-assumption-generation
Read more
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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