What does the Auth Access Control AI skill do?
当出现注册/登录/找回密码/验证码/绑定手机/实名认证/OAuth/SSO/2FA/JWT等认证功能，前后端分离应用出现路由守卫/前端鉴权绕过，或发现ID可替换、角色参数可控、租户ID可控、接口存在越权迹象时调用。负责认证绕过、前端鉴权绕过、会话安全、验证码安全、水平/垂直越权、多租户隔离、密码重置、加密与随机性弱点分析。
Why use Auth Access Control on TypingMind?
Because you install it once and use it with any model. Auth Access Control is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.
How do I install Auth Access Control in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaji2333/CkSKILLS/tree/main/.agents/skills/auth-access-control. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use Auth Access Control?
Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.
How many AI models can I use with Auth Access Control?
As many as you like. As long as a model supports skills, you can use Auth Access Control with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Auth Access Control AI skill free?
Yes. It is published on GitHub by zhaji2333 under the MIT license. You only pay your own AI provider for the tokens you use.
What are AI skills?
An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.
How are AI skills different from plugins or MCP servers?
A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.
