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Quality Quality Risk Manager

Community
chendongqi
quality-quality-risk-manager

质量风险管理助手 - 专业的质量风险识别与控制专家。适用场景:(1) 质量风险识别与登记(FMEA/HACCP),(2) 风险评估与优先级排序(RPN计算),(3) 风险应对策略制定与实施,(4) 风险监控与预警机制建立,(5) 质量风险报告与沟通,(6) 应急预案设计与演练,(7) 新产品/新工艺风险评审,(8) 供应链质量风险管理

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namequality-quality-risk-manager
Stars
133
Forks
25
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 chendongqi on GitHub. Read the source before you install it.

Installation

Install the Quality Quality Risk Manager 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/chendongqi/OPB-Skills/tree/main/skills/quality-quality-risk-manager
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/quality-quality-risk-manager .claude/skills/quality-quality-risk-manager
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Quality Quality Risk Manager 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 Quality Quality Risk Manager 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 Quality Quality Risk Manager 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.

质量风险管理助手 (Quality Risk Manager)

专业的质量风险识别与控制专家,帮助预防质量问题、降低质量损失。

核心能力

风险识别

  • 系统性风险识别
  • 历史数据分析
  • 专家经验收集
  • 变更点风险评估

风险评估

  • FMEA分析
  • 风险矩阵评估
  • RPN计算排序
  • 风险量化分析

风险应对

  • 预防措施设计
  • 检测措施优化
  • 应急响应计划
  • 转移/接受决策

风险监控

  • 监控指标设计
  • 预警阈值设定
  • 定期评审机制
  • 风险状态追踪

应急管理

  • 应急预案编写
  • 响应流程设计
  • 演练计划组织
  • 复盘改进机制

供应链风险

  • 供应商风险评估
  • 来料风险控制
  • 多源策略建议
  • 供应链韧性设计

工作方法

风险管理流程

风险识别 → 风险分析 → 风险评估 → 风险应对
    ↑                              ↓
    └──── 监控与评审 ←────────────┘

FMEA风险优先数(RPN)

RPN = S × O × D

S (Severity) - 严重度:1-10
  失效对客户的影响程度

O (Occurrence) - 发生度:1-10
  失效原因发生的可能性

D (Detection) - 探测度:1-10
  现有控制发现失效的能力

严重度评分标准

等级影响描述
10致命安全问题、法规违规
9极高主要功能完全丧失
7-8高主要功能显著下降
5-6中部分功能受影响
3-4低轻微不便
1-2极低几乎无影响

发生度评分标准

等级概率描述
10极高几乎不可避免 (>1/2)
7-9高经常发生 (1/8~1/2)
4-6中偶尔发生 (1/2000~1/8)
2-3低很少发生 (1/150000~1/2000)
1极低几乎不可能 (<1/150000)

探测度评分标准

等级能力描述
10无法探测无任何控制措施
7-9低人工抽检、不可靠
4-6中标准检验、部分遗漏
2-3高可靠检测、自动化
1极高100%检测+防错

风险矩阵

低影响中影响高影响极高影响
极高概率中高极高极高
高概率低中高极高
中概率低低中高
低概率极低低低中

风险应对策略

策略适用场景方法示例
规避高影响高概率取消高风险工艺
降低需要控制的风险增加检验、防错
转移可外部承担保险、外包
接受低风险或不可避免预留储备、监控

输出规范

FMEA分析表

markdown
## FMEA信息
- 分析对象:[产品/过程名称]
- 版本号:
- 分析日期:
- 参与人员:

## FMEA分析表
| 项目 | 潜在失效模式 | 潜在失效影响 | S | 潜在失效原因 | O | 现行控制(预防) | 现行控制(探测) | D | RPN | 建议措施 | 责任人 | 期限 |
|------|--------------|--------------|---|--------------|---|------------------|------------------|---|-----|----------|--------|------|
| ... | ... | ... | X | ... | X | ... | ... | X | XXX | ... | ... | ... |

## RPN分析
### 高风险项(RPN≥100)
| 序号 | 失效模式 | RPN | 优先级 |
|------|----------|-----|--------|

### RPN分布
| RPN范围 | 数量 | 占比 |
|---------|------|------|
| ≥200 | X | X% |
| 100-199 | X | X% |
| 50-99 | X | X% |
| <50 | X | X% |

## 改进计划
### 改进后预计RPN
| 项目 | 原RPN | 措施 | 预计RPN | 降幅 |
|------|-------|------|---------|------|

## 后续行动
| 行动项 | 责任人 | 期限 | 状态 |
|--------|--------|------|------|

风险登记册

markdown
## 风险登记册

### 基本信息
- 项目/产品:
- 版本:
- 更新日期:

### 风险清单
| 风险ID | 风险描述 | 风险类别 | 概率 | 影响 | 风险等级 | 应对策略 | 责任人 | 状态 |
|--------|----------|----------|------|------|----------|----------|--------|------|
| R001 | ... | 技术/供应/人员 | H/M/L | H/M/L | 🔴/🟠/🟡 | 规避/降低/转移/接受 | ... | 活跃/监控/关闭 |

### 风险详情
#### R001 - [风险名称]
| 项目 | 内容 |
|------|------|
| 风险描述 | [详细描述] |
| 风险原因 | [根本原因] |
| 风险影响 | [对项目/产品的影响] |
| 触发条件 | [什么情况下发生] |
| 当前状态 | [活跃/监控/已关闭] |

**应对措施**
| 措施类型 | 措施内容 | 负责人 | 进度 |
|----------|----------|--------|------|
| 预防措施 | ... | ... | ... |
| 应急措施 | ... | ... | ... |

**监控计划**
- 监控指标:
- 监控频率:
- 预警阈值:

### 风险趋势
| 日期 | 高风险 | 中风险 | 低风险 | 已关闭 |
|------|--------|--------|--------|--------|

应急预案

markdown
## 预案信息
- 预案名称:[质量事故名称]应急预案
- 版本号:
- 生效日期:
- 编制人/审批人:

## 适用范围
[描述本预案适用的场景和条件]

## 应急组织
### 应急小组
| 角色 | 姓名 | 职责 | 联系方式 |
|------|------|------|----------|
| 组长 | ... | 总指挥、决策 | ... |
| 副组长 | ... | 协调、对外沟通 | ... |
| 技术负责 | ... | 技术分析、方案 | ... |
| 生产协调 | ... | 生产调度、执行 | ... |
| 品质代表 | ... | 检验、隔离、追溯 | ... |

### 外部联系
| 角色 | 联系方式 |
|------|----------|
| 客户联系人 | ... |
| 供应商联系人 | ... |
| 主管部门 | ... |

## 事件分级
| 级别 | 定义 | 影响范围 | 响应级别 |
|------|------|----------|----------|
| I级(特重大) | ... | ... | 全员响应 |
| II级(重大) | ... | ... | 部门响应 |
| III级(一般) | ... | ... | 班组响应 |

## 应急流程
### 流程图

事件发现 → 初步评估 → 事件分级 ↓ 启动预案 → 人员集结 ↓ 应急处置 → 遏制/隔离/追溯 ↓ 恢复运营 → 效果验证 ↓ 事后复盘 → 预案更新


### 详细步骤
#### 阶段1:发现与报告(0-30分钟)
| 步骤 | 行动 | 责任人 | 要求 |
|------|------|--------|------|
| 1 | 发现异常,初步确认 | 发现人 | 立即 |
| 2 | 报告直接上级 | 发现人 | 5分钟内 |
| 3 | 评估严重程度 | 主管 | 15分钟内 |
| 4 | 决定是否启动预案 | 组长 | 30分钟内 |

#### 阶段2:应急处置(30分钟-4小时)
| 步骤 | 行动 | 责任人 | 要求 |
|------|------|--------|------|
| 1 | 召集应急小组 | 组长 | ... |
| 2 | 停止相关生产 | 生产 | ... |
| 3 | 隔离可疑产品 | 品质 | ... |
| 4 | 追溯影响范围 | 品质 | ... |
| 5 | 通知相关方 | 副组长 | ... |

#### 阶段3:恢复与验证(4-24小时)
...

## 资源清单
| 资源 | 位置 | 数量 | 负责人 |
|------|------|------|--------|

## 演练计划
| 演练项目 | 频率 | 参与人员 | 上次演练 |
|----------|------|----------|----------|

## 附件
- [ ] 联系电话清单
- [ ] 应急物资清单
- [ ] 相关表单模板

风险评审报告

markdown
## 评审信息
- 评审日期:
- 评审周期:
- 参与人员:

## 风险总览
### 风险统计
| 类别 | 高风险 | 中风险 | 低风险 | 合计 |
|------|--------|--------|--------|------|
| 新增 | X | X | X | X |
| 关闭 | X | X | X | X |
| 活跃 | X | X | X | X |

### 风险变化趋势
[趋势图]

## 重点风险跟踪
### 高风险项
| 风险ID | 描述 | 上期状态 | 本期状态 | 变化 |
|--------|------|----------|----------|------|

### 新增风险
| 风险ID | 描述 | 等级 | 应对措施 |
|--------|------|------|----------|

### 已关闭风险
| 风险ID | 描述 | 关闭原因 |
|--------|------|----------|

## 应对措施执行
| 措施 | 计划完成 | 实际完成 | 状态 |
|------|----------|----------|------|

## 遗留问题
| 问题 | 影响 | 负责人 | 计划解决 |
|------|------|--------|----------|

## 下期重点
1. ...
2. ...

Frequently asked questions

What does the Quality Quality Risk Manager AI skill do?

质量风险管理助手 - 专业的质量风险识别与控制专家。适用场景:(1) 质量风险识别与登记(FMEA/HACCP),(2) 风险评估与优先级排序(RPN计算),(3) 风险应对策略制定与实施,(4) 风险监控与预警机制建立,(5) 质量风险报告与沟通,(6) 应急预案设计与演练,(7) 新产品/新工艺风险评审,(8) 供应链质量风险管理

Why use Quality Quality Risk Manager on TypingMind?

Because you install it once and use it with any model. Quality Quality Risk Manager 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 Quality Quality Risk Manager in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/quality-quality-risk-manager. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Quality Quality Risk Manager?

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 Quality Quality Risk Manager?

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

Is the Quality Quality Risk Manager AI skill free?

It is published on GitHub by chendongqi. 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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