/adversarial-escalation
Strategy: Progressive pressure escalation — starts with surface-level
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill adversarial-escalation --agent claude-codeHow 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 →
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- Slash command
/adversarial-escalation
Context preview
The summary Claude sees to decide when to auto-load this skill.
Strategy: Progressive pressure escalation — starts with surface-level
SKILL.md
adversarial-escalation.SKILL.mdname: 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
tactics:
- dialectical-escalation
dependencies:
tactics:
- stress-test-dialectical-escalation
sops:
- confidence-calibration
- debate-architect
- debate-critic
- debate-defender
- debate-judge
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-synthesisSubagents
- debate-architect (escalation design)
- debate-critic (multi-level attacks)
- debate-defender (responses)
- debate-judge (level adjudication)
- confidence-calibration (escalation trigger)
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | stress-test-dialectical-escalation | Tactic: Progressive debate escalation based on confidence thresholds. Each round increases attack sophistication until defender collapses or proves resilient. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | confidence-calibration | Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence. | | debate-architect | Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters. | | debate-critic | Generates structured criticism from attack stance using Toulmin model. Produces claims, grounds, warrants, and rebuttals targeting artifact weaknesses. | | debate-defender | Responds to attacks with counter-evidence and counter-arguments. Defends artifact using evidence, clarification, and rebuttal while acknowledging valid criticisms. | | debate-judge | Evaluates debate exchanges, adjudicates argument quality, and produces round verdicts with confidence scores and reasoning. |
<!-- END available-tables (generated) -->
Read more
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 tactics: - dialectical-escalation dependencies: tactics: - stress-test-dialectical-escalation sops: - confidence-calibration - debate-architect - debate-critic - debate-defender - debate-judge
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-synthesisSubagents
- debate-architect (escalation design)
- debate-critic (multi-level attacks)
- debate-defender (responses)
- debate-judge (level adjudication)
- confidence-calibration (escalation trigger)
<!-- BEGIN available-tables (generated) -->
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use | | --- | --- | | stress-test-dialectical-escalation | Tactic: Progressive debate escalation based on confidence thresholds. Each round increases attack sophistication until defender collapses or proves resilient. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use | | --- | --- | | confidence-calibration | Calibrates confidence scores based on debate progression. Determines whether to escalate, continue, or terminate based on cumulative evidence. | | debate-architect | Designs debate structure based on artifact type — selects attack vectors, assigns perspectives, determines escalation ladder, and configures round parameters. | | debate-critic | Generates structured criticism from attack stance using Toulmin model. Produces claims, grounds, warrants, and rebuttals targeting artifact weaknesses. | | debate-defender | Responds to attacks with counter-evidence and counter-arguments. Defends artifact using evidence, clarification, and rebuttal while acknowledging valid criticisms. | | debate-judge | Evaluates debate exchanges, adjudicates argument quality, and produces round verdicts with confidence scores and reasoning. |
<!-- END available-tables (generated) -->
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.
Repo: yogsoth-ai/de-anthropocentric-research-engine
Other skills on de-anthropocentric-research-engine.
- /formated-results
Closing skill for the research-executor, loaded as the last step of formated-specs. Summarize the design just produced into one research-result JSON fenced block in your reply. Do not execute the research.
Open skill - /formated-specs
Spec-slot skill for the research-executor. Emit the 4-layer DARE orchestration of the assigned topic as one research-graph JSON fenced block in your reply. Replaces the generic spec-writing step.
Open skill - /injection-fidelity
Loss-1 judge (codex role). Given one sample's de-identified dialogue and its PolicyCard, decide axis-by-axis whether the user-simulator enacted the card's per-axis pressure. Judge enactment of the card, never whether the research is good.
Open skill - /ladder-quality-order
Loss-2 judge (codex role). Over one topic's 6 shuffled research-design samples, pairwise-rank by quality using the D1–D5 standard. Emit the pairwise log; the harness computes the order and the ladder verdicts. Judge quality difference, never against academic standards.
Open skill - /optimization-loop
The optimizer brain for the ladder-foundry pretraining loop. Runs the two-level nested batch loop, delegates gating to gate_eval, attributes a failing batch to one weight (attribute-first), and recovers from disk after compaction. Control flow is fully scripted; only the
Open skill - /acu-nugget-recall
Tactic: Extract atomic units from one paper and score how much of a caller-supplied summary covers. Use for ACU-style binary or Nugget-style ternary recall checks; cannot run without a target summary.
Open skill

