adversarial-roleplay
$
npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/adversarial-roleplayDeploy constructed hostile personas to attack the artifact from distinct motivational frames.
SKILL.md
.github/skills/adversarial-roleplayView on GitHub ↗
--- name: adversarial-roleplay description: "Tactic: Construct detailed hostile persona, attack artifact from that persona's perspective, record successful attack paths for aggregation." type: tactic used-by: [red-teaming] strategies: [adversarial-persona, groupthink-mitigation, alternative-analysis] --- # 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)
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