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adversarial-roleplay

Testing & Quality
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Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation.

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How to use this skill

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Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/adversarial-roleplay/SKILL.md

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Adversarial Roleplay Tactic

Deploy constructed hostile personas to attack the artifact from distinct motivational frames.

Orchestration

  1. persona-construction builds detailed adversary profile:
    • Background and expertise domain
    • Motivation for attacking (career incentive, resource competition, ideological)
    • Known blind spots and biases of this persona type
    • Preferred attack patterns
  2. attack-vector-generation generates vectors specific to persona's expertise and motivation
  3. probe-execution executes attacks while maintaining persona consistency
  4. Successful attack paths recorded with persona attribution
  5. Process repeats for each persona (budget-limited)
  6. finding-aggregation cross-references findings across personas for convergent vulnerabilities

Subagents Dispatched

  • persona-construction (1 call per persona)
  • attack-vector-generation (1 call per persona)
  • probe-execution (N calls per persona, budget-limited)
  • finding-aggregation (1 call at end, cross-persona)

Termination Conditions

  • All budgeted personas deployed and exhausted
  • Convergent vulnerability found by 2+ personas (high-confidence finding)
  • Single persona finds critical vulnerability (early report)
  • Budget exhausted (report per-persona findings separately)

Available SOPs

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

SOPWhen to use
attack-vector-generationGenerate specific attack strategies for a given threat surface, producing concrete probes that can be executed.
finding-aggregationAggregate, deduplicate, and classify findings from multiple probes into a coherent vulnerability report.
persona-constructionBuild a detailed adversarial persona with background, motivation, expertise, blind spots, and preferred attack patterns.
probe-executionExecute a single attack probe against an artifact, record the result with evidence and severity classification.