attack-vector-generation

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Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed.

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

name: attack-vector-generation description: Generate specific attack strategies for a given threat surface, producing concrete probes that can be executed. execution: subagent prompt: ./prompt.md input: surface (string), artifact (string), prior_findings (string) used-by: [red-teaming]

Attack Vector Generation

Generates concrete, executable attack vectors targeting a specific threat surface.

Execution

Subagent — spawned via subagent-spawning/spawn-agent.

Why Subagent

Vector generation requires creative adversarial thinking without defensive contamination. Each surface needs fresh attack ideation.

Input

  • surface: The specific threat surface to target (from threat-surface-mapping)
  • artifact: The artifact being attacked
  • prior_findings: Results from previous probes (to avoid repetition)

Output

  • vectors: List of specific attack vectors with description, expected outcome, and severity estimate
  • priority_order: Recommended execution order (highest-impact first)
  • follow_up_triggers: Conditions that should trigger deeper investigation
Install via CLI
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill attack-vector-generation
Repository Details
star Stars 331
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navigation Branch main
article Path SKILL.md
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