skillZs
LIVE SKILL TAGS
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
REAL INSTALL DATA
← back to all skills
unclecheng-li/vulnclaw4 installs

ai-mcp-security

AI与MCP安全评估 — Prompt注入、工具滥用、MCP信任边界、Agent权限逃逸、数据泄露、模型风险、GAARM风险矩阵

How do I install this agent skill?

npx skills add https://github.com/unclecheng-li/vulnclaw --skill ai-mcp-security
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubfail

    The skill is a comprehensive security auditing library for evaluating LLM and MCP risks. However, it is rated as HIGH risk due to the presence of a blacklisted URL and a reference file flagged as infected by antivirus scanners. Additionally, the skill contains numerous active jailbreak and prompt injection examples (such as the DAN method) which, while intended for educational use, could be inadvertently adopted by the AI if strict processing boundaries are not enforced.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

What does this agent skill do?

AI 与 MCP 安全评估 Skill

当目标包含 LLM、Agent、MCP 工具、Skills、RAG、Memory、Plugin 或模型服务组件时使用本 Skill。

前置条件:如果 AI 表面只是展示层,真正的阻塞仍是客户端签名或加密协议,先回到 client-reverse Skill。

场景路由

风险类型首选参考
Prompt 注入 / 间接注入 / CoT 干扰references/ai-app-security.md
工具滥用 / MCP 投毒 / Skills 供应链references/04-ai-and-mcp-security-integrated.md MCP 章节
权限逃逸 / 角色越界 / 凭据滥用references/ai-identity-security.md
数据泄露 / Prompt 泄漏 / 模型逆推references/ai-data-security.md
容器逃逸 / CI-CD / 沙箱失败references/ai-baseline-security.md
模型风险 / 对抗样本 / 后门references/ai-model-security.md
影响分类与覆盖评估references/gaarm-risk-matrix.md

测试流程

1. 应用层攻击

  • 直接 Prompt 注入
  • 间接注入(通过外部数据源)
  • CoT 干扰与指令覆盖
  • Agent 滥用(未授权操作)
  • 代码执行突破
  • Memory 投毒

2. MCP 与 Agent 风险

  • 工具描述投毒
  • 指令覆盖
  • 隐藏指令注入
  • 未授权资源访问
  • Skills/Rules 供应链问题

3. 身份与授权

  • 动作滥用
  • 角色逃逸
  • 权限漂移
  • 云凭据滥用

4. 数据与隐私

  • Prompt 泄漏
  • 敏感数据暴露
  • 训练数据问题
  • 模型逆推
  • API 数据窃取

5. 基线与部署

  • CI/CD 缺陷
  • 容器逃逸
  • 向量数据库安全
  • 沙箱失效
  • 环境隔离缺陷
  • 模型服务缺陷

参考文档

  • references/04-ai-and-mcp-security-integrated.md — AI 与 MCP 安全整合参考
  • references/ai-app-security.md — AI 应用安全
  • references/ai-identity-security.md — AI 身份安全
  • references/ai-data-security.md — AI 数据安全
  • references/ai-baseline-security.md — AI 基线安全
  • references/ai-model-security.md — AI 模型安全
  • references/gaarm-risk-matrix.md — GAARM 风险矩阵

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/unclecheng-li/vulnclaw/ai-mcp-security">View ai-mcp-security on skillZs</a>