critic-attack
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/critic-attackAttack an advocate's case with severity-rated arguments
- Identifies weaknesses, gaps, and unsupported claims in an argument
- Uses a subagent to ensure impartial and aggressive critique
- Rates each attack by severity and targets the strongest advocate point
- Returns structured JSON with 4 rated arguments and supporting evidence
SKILL.md
.github/skills/critic-attackView on GitHub ↗
--- name: critic-attack description: Attack an advocate's case with multiple arguments rated by severity. execution: subagent prompt: ./prompt.md input: winner, advocate_case used-by: [steel-manning, validation] --- # Critic Attack Attacks an advocate's case from multiple angles, producing rated arguments that expose weaknesses, logical gaps, and unsupported claims. The critic's job is to find every legitimate vulnerability. ## Execution Spawns a subagent with the critic role. The subagent receives the winner context and the advocate's case, then attacks the case systematically. ## Why Subagent - Role isolation prevents sympathy with the advocate's position - Critic must attack without mercy or compromise - Separation ensures the attack is genuine, not performative ## HARD-GATE Output must include: - >= 3 distinct attack arguments - Severity rating for each (HIGH/MEDIUM/LOW) - Evidence or reasoning for each attack - At least 1 attack targeting the advocate's strongest point
More from yogsoth-ai/de-anthropocentric-research-engine
- abductive-hypothesis-generationStrategy: 面对异常的最佳解释推理
- ablation-brainstormRemove components one by one, observe system changes to reveal hidden dependencies and generate ideas from structural gaps.
- ablation-component-mappingMap system architecture to ablatable units for ablation studies
- ablation-designDesign ablation studies to isolate component contributions in ML systems
- ablation-executionRemove components one by one from a system, record the response/impact of each removal.
- abp-vulnerability-classificationClassify 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.
- abstraction-extractionExtract abstract principles from concrete domain cases. Strips domain-specific details to reveal transferable mechanisms.
- abstraction-ladderPerform bisociation at multiple abstraction levels
- abstraction-ladderingMove between concrete and abstract framings — 3 levels up (Why?) and 3 levels down (How?) to find the most productive research level.
- abstraction-to-designAbstract biological principle to design principle. Bridge from biology to engineering.