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adversarial-persona

@yogsoth-ai · 收录于 5 天前 · 上游提交 2 周前

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

适合你,如果需要在项目早期识别安全与逻辑漏洞

/ 通过 npx 安装 校验哈希
npx oh-my-skill add yogsoth-ai/de-anthropocentric-research-engine/adversarial-persona
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- yogsoth-ai/de-anthropocentric-research-engine/adversarial-persona
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify yogsoth-ai/de-anthropocentric-research-engine/adversarial-persona
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 59ace64 · 表述以原文为准
它做什么

Claude 会扮演多个敌对角色(如竞争实验室研究员、苛刻评审、资金审查官、领域外行人),从不同动机和盲点出发,对你的内容进行结构化攻击测试,并汇总发现。

什么时候触发

当你要求对某个工件(如论文、项目方案)进行对抗性测试、压力评审或找出潜在弱点时触发。

装好后可以这样说
Claude 会从方法论严谨性角度发起攻击。
Claude 会从优先权争议和替代方案角度质疑。
Claude 会聚焦影响声明、可行性和时间线现实性。
技能原文 SKILL.md作者撰写 · Apache-2.0 · 59ace64

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:
  3. Hostile Reviewer: methodological rigor, statistical validity, novelty claims
  4. Competing Lab: priority disputes, alternative approaches, resource efficiency
  5. Funding Skeptic: impact claims, feasibility, timeline realism
  6. Domain Outsider: jargon opacity, unstated assumptions, accessibility
  7. probe-execution executes persona-specific attacks
  8. Cross-persona findings compared to identify convergent vulnerabilities
  9. 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) -->

按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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