What does the Ceo As Risk Officer AI skill do?
用户在分析企业风险管理、CEO职责边界，或评估组织是否真正重视风险控制时。 语言信号:"风险管理应该谁来管"/"为什么要CEO亲自管风险"/"风控部门不够吗"/"CEO最大的责任是什么" 不适用于:不涉及组织风险管理的纯投资分析。
Why use Ceo As Risk Officer on TypingMind?
Because you install it once and use it with any model. Ceo As Risk Officer 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 Ceo As Risk Officer in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/buffett-letters-skill/tree/main/ceo-as-risk-officer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.
Which AI models can use Ceo As Risk Officer?
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 Ceo As Risk Officer?
As many as you like. As long as a model supports skills, you can use Ceo As Risk Officer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Ceo As Risk Officer AI skill free?
Yes. It is published on GitHub by kangarooking 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.
