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Mckinsey Confidentiality Protocol

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MichaelRochonnn
mckinsey-confidentiality-protocol

在咨询或专业服务场景中处理敏感客户信息时,执行严格的保密行为规范。适用于任何接触机密信息、需要维护客户信任关系的情境,包括物理环境安全、言语信息管理和保密文化内化。

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill namemckinsey-confidentiality-protocol
Stars
77
Forks
16
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MichaelRochonnn on GitHub. Read the source before you install it.

Installation

Install the Mckinsey Confidentiality Protocol AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mckinsey-confidentiality-protocol
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MichaelRochonnn/mckinsey-bcg-consulting.git /tmp/mckinsey-bcg-consulting
mkdir -p .claude/skills
cp -r /tmp/mckinsey-bcg-consulting/mckinsey-confidentiality-protocol .claude/skills/mckinsey-confidentiality-protocol
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Mckinsey Confidentiality Protocol in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Mckinsey Confidentiality Protocol on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Mckinsey Confidentiality Protocol is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

麦肯锡保密行为规范准则

何时使用

当你处于以下情境时必须严格执行本规范:

  • 接触客户机密信息(无论在公司内外)
  • 在公共场所或交通工具中携带客户资料
  • 与客户以外的人员讨论项目相关内容
  • 在私人场所存放工作资料
  • 需要建立或维护客户信任关系

核心原则

  1. 保密是基本职业素养 — "如果你不能做到保密,你就不是一个称职的咨询顾问"
  2. 主动判断信息披露边界 — "要知道什么时候说什么,什么时候应保持沉默"
  3. 采取过度谨慎态度 — "在这方面不妨偏执一点"

执行流程

第一步:评估环境风险

场景风险等级关键检查点
飞机/高铁等交通工具极高邻座人员身份不明,可能有竞争对手、记者或客户人员
私人住所(含他人住所)高同住人员可能来自竞争公司或相关行业
公共场所(餐厅、咖啡厅)高谈话可能被邻桌听到
公司办公室中同事可能同时为竞争客户服务
客户现场中需确认信息披露已获得授权

第二步:采取物理保护措施

公文包管理

  • 任何场所过夜,公文包必须上锁
  • 即使在完全私人的空间(如住所),不降低安全标准

交通工具中的资料管理

  • 绝对禁止在飞机上取出客户资料
  • 原因:"我们永远不知道是谁坐在旁边——竞争对手、记者,或者是客户公司的某个人"
  • 风险后果:客户人员发现顾问在公共交通中处理其公司资料,将造成严重信任危机

第三步:控制言语信息

办公室外部

  • 绝对禁止提及客户真实名称

办公室内部

  • 即使公司内部,有时也不提客户名字
  • 原因:可能同时为同一产业的不同客户服务,同事之间存在利益冲突
  • 解决方案:使用代号(code)替代真实客户名称
  • 注意:代号系统存在泄露风险,需谨慎使用

第四步:建立保密条件反射

  • 将保密意识内化为日常行为习惯
  • 在任何情境下自动执行保密判断
  • 持续保持警惕,不因场景熟悉而放松

关键决策检查清单

在以下动作前强制检查:

  • 打开公文包前:当前环境是否安全?
  • 讨论项目前:听众是否具备知情权限?
  • 提及客户前:是否使用了代号?
  • 存放资料前:物理空间是否可控?

失败警示

德国项目经理案例:回家发现女友(另一家咨询公司)留下的便条提及"代码A公司的晚宴"

  • 问题:女友如何得知代码对应的真实客户?
  • 教训:代号系统存在信息泄露风险,行业间信息交叉可能导致保密失效

Frequently asked questions

What does the Mckinsey Confidentiality Protocol AI skill do?

在咨询或专业服务场景中处理敏感客户信息时,执行严格的保密行为规范。适用于任何接触机密信息、需要维护客户信任关系的情境,包括物理环境安全、言语信息管理和保密文化内化。

Why use Mckinsey Confidentiality Protocol on TypingMind?

Because you install it once and use it with any model. Mckinsey Confidentiality Protocol 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 Mckinsey Confidentiality Protocol in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mckinsey-confidentiality-protocol. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Mckinsey Confidentiality Protocol?

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 Mckinsey Confidentiality Protocol?

As many as you like. As long as a model supports skills, you can use Mckinsey Confidentiality Protocol with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Mckinsey Confidentiality Protocol AI skill free?

It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. 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.

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