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Skill

/generate-counterexample

Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc.

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

Context preview

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

Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc.

SKILL.md

generate-counterexample.SKILL.md
name: generate-counterexample
description: "Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc."

generate-counterexample

Purpose

Generate a counterexample candidate within the target claim scope and record whether exclusion is principled.

Input contract

required: [claim, scope, claimed_conclusion]
optional: [known_cases, construction_rules]
constraints: [candidate must satisfy stated scope before challenging conclusion]

Procedure

1. Identify the claim's necessary commitments. 2. Construct a candidate satisfying scope but violating conclusion. 3. Test the candidate and classify principled versus ad hoc exclusion.

Output contract

produces: [counterexample_candidate, scope_check, violation, exclusion_assessment]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • Preserve the original scope and show the violated conclusion explicitly.

Failure and counterexamples

An out-of-scope case is not a counterexample; record it separately.

Provenance map

  • resolved: counterexample-generation
  • resolved: counterexample-heuristics
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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Python
Language
Apache-2.0
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7h ago
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7mo ago
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Repo: yogsoth-ai/de-anthropocentric-research-engine