Code Reviewer

Community

huangwb8

code-reviewer

用于审查已完成的工作、重大功能或合并前的变更，核对需求并按严重程度识别风险。未经审查不得合并。

Overview

Publisher	huangwb8
Repository	`skills`
Skill name	`code-reviewer`
Stars	50
Forks	8
Bundled files	1
License	MIT
Links	Skill source Repository

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 huangwb8 on GitHub. Read the source before you install it.

Installation

Install the Code Reviewer 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/huangwb8/skills/tree/main/skills/alpha/awesome-code/agents/code-reviewer
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/huangwb8/skills/tree/main/skills/alpha/awesome-code/agents/code-reviewer

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/huangwb8/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/alpha/awesome-code/agents/code-reviewer .claude/skills/code-reviewer

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

Use it in TypingMind

Enable Code Reviewer 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 Code Reviewer 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 Code Reviewer 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.

Code Reviewer - 代码审查专家

何时使用

重大功能完成后、合并前、发布前
大重构/跨模块变更
引入新依赖、新权限、新数据流

审查输入

需求/计划：用户描述、PR 描述、任务计划/设计文档（如 PLAN.md、docs/plans/*.md 或其它项目约定文件名）
代码改动：diff、关键文件、测试结果
风险偏好：可接受的破坏性/性能回退范围

输出格式（必须结构化）

对每个问题输出：

严重程度：Critical（严重）/ Important（重要）/ Minor（次要）
What：问题是什么（具体到文件/函数/行为）
Why：为什么是问题（风险与影响）
Fix：如何修（最小变更优先）
Verify：如何验证（测试/复现步骤）

审查顺序（先 P0 再 P2）

Critical（严重，P0）
- 鉴权/授权缺陷、注入、路径遍历、敏感信息泄露
- 数据一致性/事务边界错误、不可恢复的数据破坏
Important（重要，P1）
- 明显性能风险（N+1、O(n^2) 热路径、内存爆）
- 测试覆盖不足（关键路径无回归验证）
Minor（次要，P2）
- 可维护性：命名、重复、复杂度、模块边界
- 文档/注释/类型标注缺失

快速检查清单

输入验证与输出编码是否到位？
权限校验是否在服务端强制执行？
是否引入了新的敏感数据写入/日志输出？
是否有回归测试或至少可复现的验证步骤？
改动是否严格服务于用户目标，没有无关格式化、顺手重构或过度抽象？
是否能对应到明确的验收标准；缺少标准时是否已标为阻塞风险？
是否存在明显的性能/资源泄露风险？

约束

公共硬约束

本块由 docs/templates/skill-common-constraints.md 统一维护；每个 SKILL.md 的 ## 约束 必须逐字同步本块，不得在副本中改写公共规则。

任务需要落盘时，使用唯一的 ./.bensz-api/task-{yyyymmdd-hhmm}-{简短描述}/ 根目录；共享材料放入 shared/，Skill 专属材料放入该 Skill 的 input/、output/、log/。
正式交付物、源代码和正式计划按项目约定保存，不写入任务工作区；未经授权不覆盖、删除、迁移或远程写入。
项目维护变更检查 BAC 可用性并记录需求、AI 产出、工具结果、文件改动和验证摘要；BAC 只做过程审计，不替代署名、责任或合规判断。
不记录 API Key、访问令牌、密码、Cookie、环境/凭据文件、私有 Prompt、身份信息、本地用户名、主机名或不必要的大体积原始数据。
文件路径必须规范化并限制在授权项目范围内；外部 URL、子进程和网络访问遵循最小权限，防止路径遍历、SSRF 和命令注入。
Skill 版本唯一记录在自身 config.yaml:skill_info.version；公开 API、协议、目录或配置变更同步文档与 CHANGELOG.md。
bensz-collect-bugs 是一个 Agent Skill；仅将 Bensz Agent Skill 或 Bensz 基础设施本身的设计缺陷交给它。先脱敏写入 ~/.bensz-skills/bugs/，当前任务不中断，只有用户明确要求才公开上报，禁止直接修改用户已安装的 Skill 源码。

Bundled files

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

references/legacy-skill-full.md11 KB

Frequently asked questions

What does the Code Reviewer AI skill do?

用于审查已完成的工作、重大功能或合并前的变更，核对需求并按严重程度识别风险。未经审查不得合并。

Why use Code Reviewer on TypingMind?

Because you install it once and use it with any model. Code Reviewer 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 Code Reviewer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huangwb8/skills/tree/main/skills/alpha/awesome-code/agents/code-reviewer. 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 Code Reviewer?

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 Code Reviewer?

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

Is the Code Reviewer AI skill free?

Yes. It is published on GitHub by huangwb8 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Code Reviewer - 代码审查专家

何时使用

审查输入

输出格式（必须结构化）

审查顺序（先 P0 再 P2）

快速检查清单

约束

公共硬约束

Bundled files

Frequently asked questions

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