attack-vector-generation
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/attack-vector-generationGenerates executable attack vectors for specified threat surfaces
- Solves the problem of identifying actionable attack paths for red teams
- Relies on threat-surface-mapping and subagent-spawning execution model
- Analyzes surface, artifact, and prior findings to prioritize novel vectors
- Returns prioritized vectors with severity, outcomes, and follow-up triggers
SKILL.md
.github/skills/attack-vector-generationView on GitHub ↗
--- 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