debate-critic

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/debate-critic

Generates structured adversarial criticism using Toulmin model

  • Analyzes artifacts to identify weaknesses for attack
  • Uses Toulmin model components: claims, grounds, warrants, rebuttals
  • Adjusts depth based on escalation level and attack vectors
  • Returns attacks with confidence scores and escalation guidance
SKILL.md
.github/skills/debate-criticView on GitHub ↗
---
name: debate-critic
description: Generates structured criticism from attack stance using Toulmin model. Produces claims, grounds, warrants, and rebuttals targeting artifact weaknesses.
execution: subagent
prompt: ./prompt.md
input: artifact (string), escalation_level (string), attack_vectors (string)
used-by: [multiagent-debate]
---

# Debate Critic

Generates structured adversarial criticism targeting artifact weaknesses.

## Execution

Subagent — spawned via subagent-spawning/spawn-agent.

## Why Subagent

Attack generation requires dedicated adversarial stance without contamination from defensive reasoning. Isolated context ensures pure opposition.

## Input

- **artifact**: The artifact being debated (full text)
- **escalation_level**: Current level (L1-surface, L2-structural, L3-foundational)
- **attack_vectors**: Specific angles to attack (from debate-architect)

## Output

- **attacks**: List of structured attacks (claim + ground + warrant + rebuttal anticipation)
- **confidence**: How confident the critic is in each attack (0.0–1.0)
- **escalation_suggestion**: Whether to escalate, maintain, or de-escalate

## Budget

One unit = one set of attacks for one round.
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