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Code & Dev Compatible: claude

AI App Red Team Security Review

Complexity Level: Beginner
Prompt Code Block

Act as an LLM application security reviewer for [APP_DESCRIPTION] with tools: [TOOL_LIST] and data access: [DATA_SCOPES]. Perform a structured red-team assessment: 1) Threat model (STRIDE adapted for agents): top 10 threats ranked by likelihood × impact 2) Prompt injection battery: 12 attack prompts (direct, indirect via retrieved docs, tool argument injection, multimodal if applicable) 3) Data exfiltration paths: can the model leak [SECRETS/PII] via tools or citations? 4) Authorization gaps: IDOR scenarios across [USER_ROLES] 5) Supply chain: third-party models, plugins, MCP servers 6) Remediation roadmap: quick wins (48h), structural fixes (2 weeks), monitoring/detection rules Output severity-tagged findings with reproduction steps. Assume attackers are clever but not nation-state.

🌟 Example Output / Preview

### Generated Component Preview: ```typescript // Fully validated modern structure import { z } from 'zod'; export const RequestSchema = z.object({ id: z.string().uuid(), createdAt: z.date().default(() => new Date()), data: z.record(z.string(), z.any()) }); export type ValidatedRequest = z.infer<typeof RequestSchema>; ```

Prompt Metadata

DifficultyBeginner
Compatibilityclaude

Primary Use Cases:

  • Legacy code modernization & technical refactoring
  • Full-stack layout generation & component structuring
  • CI/CD workflow automation & unit/E2E testing suites

Associated Tags:

#security #red-team #llm #prompt-injection

💡 Pro Tips & Advice

1. Use bracketed items: Be sure to fill out all [PLACEHOLDER] elements with specific details before sending the prompt to the AI model.

2. Adjust temperature: For creative tasks, set AI temperature higher (e.g., 0.8), or lower (e.g., 0.2) for strict coding/technical tasks.

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