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Automation
Skill

/construct-defense

Construct the strongest defensible case while acknowledging valid weaknesses.

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

Context preview

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

Construct the strongest defensible case while acknowledging valid weaknesses.

SKILL.md

construct-defense.SKILL.md
name: construct-defense
description: "Construct the strongest defensible case while acknowledging valid weaknesses."

construct-defense

Purpose

Construct the strongest defensible case while acknowledging valid weaknesses.

Input contract

required: [position, evidence_set, objection_set]
optional: [defense_criteria, audience, weakness_policy]
constraints: [support must be evidence-linked and weaknesses cannot be erased]

Procedure

1. State the position and burden of proof. 2. Select and order the strongest supporting arguments. 3. Address objections and reframe only where evidence supports the reframe. 4. Mark residual weaknesses and scope limits.

Output contract

produces: [defense_case, supporting_arguments, objection_responses, residual_weaknesses]
delta_fields: [findings, decisions, uncertainties]

Quality gates

  • At least 3 supporting arguments are supplied when evidence permits.
  • At least 1 perceived weakness is tested for legitimate reframing.
  • Every claim has an evidence or uncertainty link.

Parameterization

Caller supplies position schema, evidence rubric, objection taxonomy, argument-count rule, and weakness policy.

Failure and counterexamples

Reject hedged advocacy, unsupported reframes, or defenses that omit valid objections.

Provenance map

  • concept: stress-test/debate-defender
  • concept: convergence/advocate-construction
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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