# Attack Vector Generation

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

- Skill: `yogsoth-ai/attack-vector-generation` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/attack-vector-generation`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/attack-vector-generation/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/attack-vector-generation

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# 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

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

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