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/adversarial-persona

Strategy: Role-play attacks from hostile personas — competing lab researcher,

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de-anthropocentric-research-engine
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$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill adversarial-persona --agent claude-code

How 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 →
  • You can call itInvoke it directly when you want it.
  • Slash command/adversarial-persona

Context preview

The summary Claude sees to decide when to auto-load this skill.

Strategy: Role-play attacks from hostile personas — competing lab researcher,

SKILL.md

adversarial-persona.SKILL.md
name: adversarial-persona
description: 'Strategy: Role-play attacks from hostile personas — competing lab researcher,
  hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations
  and blind spots.'
type: strategy
tactics:
- adversarial-roleplay
- structured-attack-campaign
dependencies:
  tactics:
  - adversarial-roleplay
  - structured-attack-campaign
  sops:
  - attack-resilience-scoring
  - attack-vector-generation
  - finding-aggregation
  - persona-construction
  - probe-execution

Adversarial Persona Strategy

Construct and deploy hostile personas that attack from distinct motivational frames. Each persona has unique expertise, biases, and attack patterns.

Method

1. **persona-construction** builds detailed adversary profiles (background, motivation, expertise, blind spots) 2. Each persona attacks from their specific frame:

  • Hostile Reviewer: methodological rigor, statistical validity, novelty claims
  • Competing Lab: priority disputes, alternative approaches, resource efficiency
  • Funding Skeptic: impact claims, feasibility, timeline realism
  • Domain Outsider: jargon opacity, unstated assumptions, accessibility

3. **probe-execution** executes persona-specific attacks 4. Cross-persona findings compared to identify convergent vulnerabilities 5. **finding-aggregation** synthesizes across all persona perspectives

Budget Table

| Parameter | S | M | L | |---|---|---|---| | Attack vectors | 5 | 12 | 20 | | Probing rounds | 3 | 6 | 10 | | Personas | 2 | 4 | 6 | | Assumption checks | 5 | 10 | 20 |

Orchestration

persona-construction → [build N personas per budget]
→ [for each persona]:
    attack-vector-generation (persona-specific vectors)
    → probe-execution (execute persona attacks)
→ finding-aggregation (cross-persona synthesis)
→ attack-resilience-scoring

Subagents

  • persona-construction (adversary profile building)
  • attack-vector-generation (persona-specific attack design)
  • probe-execution (persona attack execution)
  • finding-aggregation (cross-persona synthesis)
  • attack-resilience-scoring (convergent vulnerability scoring)

<!-- BEGIN available-tables (generated) -->

Available Tactics

Optional, no fixed order; the final leaf is always a sop.

| Tactic | When to use | | --- | --- | | adversarial-roleplay | Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation. | | structured-attack-campaign | Tactic: Full attack lifecycle — threat surface enumeration, attack vector generation, systematic probing, and finding aggregation across all surfaces. |

Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use | | --- | --- | | attack-resilience-scoring | Compute overall resilience score (0.0-1.0) based on attack results, coverage, and vulnerability severity distribution. | | attack-vector-generation | Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed. | | finding-aggregation | Aggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report. | | persona-construction | Build a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns. | | probe-execution | Execute a single attack probe against an artifact, record the result with evidence and severity classification. |

<!-- END available-tables (generated) -->

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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.

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