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…
Strategy: Role-play attacks from hostile personas — competing lab researcher,
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill adversarial-persona --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/adversarial-personaContext preview
The summary Claude sees to decide when to auto-load this skill.
Strategy: Role-play attacks from hostile personas — competing lab researcher,
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
Construct and deploy hostile personas that attack from distinct motivational frames. Each persona has unique expertise, biases, and attack patterns.
1. **persona-construction** builds detailed adversary profiles (background, motivation, expertise, blind spots) 2. Each persona attacks from their specific frame:
3. **probe-execution** executes persona-specific attacks 4. Cross-persona findings compared to identify convergent vulnerabilities 5. **finding-aggregation** synthesizes across all persona perspectives
| Parameter | S | M | L | |---|---|---|---| | Attack vectors | 5 | 12 | 20 | | Probing rounds | 3 | 6 | 10 | | Personas | 2 | 4 | 6 | | Assumption checks | 5 | 10 | 20 |
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<!-- BEGIN available-tables (generated) -->
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. |
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) -->
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
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