critic-defender-judge
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/critic-defender-judgeClassic adversarial triangle: one agent attacks, one defends, one judges.
SKILL.md
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--- name: critic-defender-judge description: "Strategy: Classic triangular debate — Critic attacks, Defender responds, Judge adjudicates. Based on Irving AI Safety via Debate with Toulmin argumentation structure." type: strategy used-by: [multiagent-debate] tactics: [dialectical-escalation, evidence-tournament] --- # Critic-Defender-Judge Strategy Classic adversarial triangle: one agent attacks, one defends, one judges. ## Method 1. **debate-architect** designs attack vectors based on artifact type 2. **debate-critic** generates structured attacks using Toulmin model 3. **debate-defender** responds with counter-evidence and rebuttals 4. **debate-judge** evaluates exchange quality and produces round verdict 5. Repeat with escalating pressure (dialectical-escalation tactic) ## Budget Table | Parameter | S | M | L | |---|---|---|---| | Debate rounds | 4 | 8 | 12 | | Participating agents | 3 | 5 | 8 | | Coverage dimensions | 3 | 5 | 7 | | External evidence searches | 2 | 5 | 10 | ## Orchestration ``` debate-architect → [for each round]: debate-critic → debate-defender → debate-judge → confidence-calibration → (escalate or terminate) → debate-transcript-analysis → verdict-synthesis ``` ## Subagents - debate-architect (structure design) - debate-critic (attack generation) - debate-defender (defense generation) - debate-judge (round adjudication) - confidence-calibration (escalation decision) - evidence-scout (when evidence-tournament tactic active)