adversarial-persona

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Strategy: Role-play attacks from hostile personas — competing lab researcher, hostile reviewer, funding skeptic, domain outsider — each with distinct attack motivations and blind spots.

yogsoth-ai By yogsoth-ai schedule Updated 6/16/2026

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)

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.
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill adversarial-persona
Repository Details
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