llm-security

⚠️ AUTHORIZED USE ONLY

This skill is for educational purposes or authorized security assessments only.

You must have explicit, written permission from the system owner before using this tool.

Misuse of this tool is illegal and strictly prohibited.

Mandatory confirmation gate

Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

1. Ask the user to state the exact target URL, IP, account, or resource.

2. Ask the user to confirm written authorization and the permitted scope.

3. Show the exact command(s) and explain their expected effect.

4. Wait for explicit confirmation in the current conversation.

Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.

LLM / AI 安全测试

When to Use

• Red-teaming an LLM-based application within an approved scope.
• Mapping agent tool permissions against abuse scenarios.

适用场景

• LLM 应用安全测试（ChatBot、RAG、Code Assistant）
• AI Agent 安全审计（工具调用、记忆持久化、多智能体通信）
• Prompt 注入测试（直接 + 间接）
• 模型供应链安全评估
• 红队 AI 系统攻击模拟

工作流

1. 侦察：映射 AI 攻击面

□ 识别所有 LLM 功能入口（聊天框、文件上传、API 参数、邮件处理）
□ 枚举 Agent 注册的工具（send_email、query_db、delete、exec 等）
□ 识别数据流：用户输入 → 检索上下文 → 工具调用 → 输出目标
□ 检测系统提示词泄露面（错误消息、翻译请求、JSON 输出）
□ 确认是否有人在回路审批，以及审批触发条件

2. Prompt 注入测试（OWASP LLM