风险评估方法，识别项目风险并制定应对策略
| Publisher | echoVic |
| Repository | boss-skill |
| Skill name | scrum-master/risk-assessment |
| Stars | 562 |
| Forks | 51 |
| Bundled files | Instructions only |
| License | MIT |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by echoVic on GitHub. Read the source before you install it.
Install the Scrum Master/Risk Assessment AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/echoVic/boss-skill/tree/main/skill/skills/scrum-master/risk-assessmentAny agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
git clone --depth 1 https://github.com/echoVic/boss-skill.git /tmp/boss-skill
mkdir -p .claude/skills
cp -r /tmp/boss-skill/skill/skills/scrum-master/risk-assessment .claude/skills/echovic-scrum-master-risk-assessmentEnable Scrum Master/Risk Assessment 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.
AI skills are plain Markdown instructions rather than provider-specific code, so Scrum Master/Risk Assessment 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.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
| 风险类型 | 示例 |
|---|---|
| 技术风险 | 新技术不熟悉、技术选型不当 |
| 资源风险 | 人员不足、时间紧张 |
| 需求风险 | 需求不明确、需求变更频繁 |
| 依赖风险 | 外部API不稳定、第三方服务延迟 |
| 可能性 \ 影响 | 低 | 中 | 高 |
|---|---|---|---|
| 高 | 中风险 | 高风险 | 高风险 |
| 中 | 低风险 | 中风险 | 高风险 |
| 低 | 低风险 | 低风险 | 中风险 |
| 策略 | 说明 | 适用场景 |
|---|---|---|
| 规避 | 改变计划避免风险 | 高风险且可避免 |
| 减轻 | 降低风险发生概率或影响 | 中高风险 |
| 转移 | 将风险转移给第三方 | 外部依赖风险 |
| 接受 | 接受风险并准备应对 | 低风险 |
风险评估方法，识别项目风险并制定应对策略
Because you install it once and use it with any model. Scrum Master/Risk Assessment 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.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/echoVic/boss-skill/tree/main/skill/skills/scrum-master/risk-assessment. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
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.
As many as you like. As long as a model supports skills, you can use Scrum Master/Risk Assessment with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Yes. It is published on GitHub by echoVic under the MIT license. You only pay your own AI provider for the tokens you use.
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.
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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