adversarial-escalation
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/adversarial-escalationProgressive pressure: escalate attack sophistication based on defender performance.
SKILL.md
.github/skills/adversarial-escalationView on GitHub ↗
---
name: adversarial-escalation
description: "Strategy: Progressive pressure escalation — starts with surface-level challenges and escalates to fundamental assumption attacks based on defender confidence decay."
type: strategy
used-by: [multiagent-debate]
tactics: [dialectical-escalation]
---
# Adversarial Escalation Strategy
Progressive pressure: escalate attack sophistication based on defender performance.
## Method
1. **debate-architect** designs escalation ladder (surface → structural → foundational)
2. Level 1: **debate-critic** probes surface claims and evidence quality
3. **confidence-calibration** measures defender resilience
4. Level 2: **debate-critic** attacks structural coherence and logical dependencies
5. Level 3: **debate-critic** challenges foundational assumptions and paradigm fit
6. Each level only reached if defender survives previous level
## 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 → [design escalation ladder]
→ [for each level]:
debate-critic (level-appropriate attack)
→ debate-defender → debate-judge
→ confidence-calibration
→ (escalate if survived, terminate if collapsed)
→ debate-transcript-analysis → verdict-synthesis
```
## Subagents
- debate-architect (escalation design)
- debate-critic (multi-level attacks)
- debate-defender (responses)
- debate-judge (level adjudication)
- confidence-calibration (escalation trigger)
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