Impact Review

Organization

devcodex-labs

impact-review

影响评估规范 — 代码变更六维影响框架 + 回归风险评级

Overview

Publisher	devcodex-labs
Repository	`devcodex`
Skill name	`impact-review`
Stars	433
Forks	44
Bundled files	1
License	AGPL-3.0
Links	Skill source Repository Homepage

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.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by devcodex-labs on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/devcodex-labs/devcodex/tree/main/content/skills/impact-review
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.

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/devcodex-labs/devcodex.git /tmp/devcodex
mkdir -p .claude/skills
cp -r /tmp/devcodex/content/skills/impact-review .claude/skills/impact-review

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Impact Review 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 Impact Review 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 Impact Review 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.

Impact Review Skill

职责

在 CP2（方案确认）后、EXEC（编码执行）前，评估技术方案的架构影响范围，输出影响评估报告。CP2 尚未确认时可写入技术方案 §11；确认后保持已冻结方案字节与摘要，将评估追加到独立 03-方案复审-PR1.md，引用对应 CP2 的 artifactPath、version、sha256。评估若改变已确认设计，走既有 CP2 候选版本与演进确认流程；不得为了补充评估而直接改写冻结产物，也不得把摘要变化伪装成原确认。

触发时机

工作流	触发条件
dev	仅当 dev-plan-review PR-5② 标记"跨模块架构依赖变更"时
fix	仅当修复方案涉及跨模块架构依赖变更（PR-5②）时

🔴 PR-5① 对外接口变更 → EXEC 后走 api-verification，不进 impact-review。
🔴 PR-5③ 数据库 Schema 变更 → 走 dev-database Skill，不进 impact-review。

豁免：dev-docs、dev-plan-review、analyze、audit、chat。analyze 可在只读报告内讨论影响，但不得进入 CP2 后/EXEC 前的本 Skill 状态机。

六维评估框架

维度	内容
1 受影响功能	本次变更直接修改的功能列表
2 直接依赖	直接调用/引用被修改模块的代码
3 间接影响路径	通过依赖链间接受影响的模块
4 用户可见行为变化	用户/调用方感知到的行为差异
5 回归风险评级	🔴 高 / 🟡 中 / 💡 低（基于影响范围）
6 验证策略	需要额外验证的测试点和验证方法

输出格式

markdown
## 影响评估报告

**变更摘要**：[一句话描述本次变更]
**回归风险**：🔴 高 / 🟡 中 / 💡 低

| 维度 | 内容 |
|------|------|
| 受影响功能 | ... |
| 直接依赖 | ... |
| 间接影响 | ... |
| 用户可见变化 | ... |
| 验证策略 | ... |

关键规则

🔴 高风险变更必须补充回归测试用例
影响范围 >3 个模块时，建议分批发布
Breaking Changes 必须在评估中标注并提供迁移指南

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

intent.json1 KB

Frequently asked questions

What does the Impact Review AI skill do?

影响评估规范 — 代码变更六维影响框架 + 回归风险评级

Why use Impact Review on TypingMind?

Because you install it once and use it with any model. Impact Review 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 Impact Review in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/devcodex-labs/devcodex/tree/main/content/skills/impact-review. 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 Impact Review?

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 Impact Review?

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

Is the Impact Review AI skill free?

Yes. It is published on GitHub by devcodex-labs under the AGPL-3.0 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Impact Review Skill

职责

触发时机

六维评估框架

输出格式

关键规则

Bundled files

Frequently asked questions

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