Zhangyi Review

Community

aph199686

zhangyi-review

张翼审查收尾：发布前或阶段节点的全面审查——范围与证据口径先行、六级结论分级、每条结论带证据引用、执行摘要与'未来两周 N 件事'。输出审查裁决书。Use when the user prepares for release/launch, wants a full project audit, checks store/platform readiness, reviews builds/CI/saves/rights, or asks whether the project is ready. 用户准备上架发布、想做全面项目审查、检查平台就绪度、核查构建/CI/存档/权利链、或问'现在能发了吗'时使用。

Overview

Publisher	aph199686
Repository	`zhangyi-studio`
Skill name	`zhangyi-review`
Stars	119
Forks	0
Bundled files	3
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.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by aph199686 on GitHub. Read the source before you install it.

Installation

Install the Zhangyi 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/aph199686/zhangyi-studio/tree/main/skills/zhangyi-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/aph199686/zhangyi-studio.git /tmp/zhangyi-studio
mkdir -p .claude/skills
cp -r /tmp/zhangyi-studio/skills/zhangyi-review .claude/skills/zhangyi-review

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

Use it in TypingMind

Enable Zhangyi 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 Zhangyi 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 Zhangyi 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.

张翼 · 审查收尾

审查回答的问题只有一个："现在能发了吗"——以及，凭什么。 它的反面是这个行业的通病：把"定版了""本地能跑""上次测试全绿" 当成"发布就绪"。本 skill 输出《审查裁决书》。

工作流

1. 范围与证据口径先行

审查开始前先声明：审什么（哪些目录/包/版本）、用什么方法（只读？跑构建？实机？）、证据口径是什么。 只读审查就声明只读——没跑过构建就不许说"构建没问题"。方法见 references/审查方法论.md。

2. 核查：以现有实现为准

一条铁律：历史文字里的"已修复""全绿"，不当作当前事实。 更新日志、交接文档、聊天记录都是线索，不是证据；证据是当前文件的内容、哈希、行号、可复跑的命令输出。

3. 结论分级（六级，每条结论必须挂级）

级别	含义
已核实事实	可由当前文件/元数据/哈希/官方资料确认
静态路径问题	代码或数据有明确问题，但未实机复现频率与画面
条件性风险	特定版本/账户/模式/平台下可能触发，需专项验证
制作建议	基于工程规模与目标的决策建议，不是强制规则
工作量估算	用于立项比较，不是报价或交付承诺
待补证	证据链不足——不等于已证明有问题，也不等于没问题

风险另分高/中/低。分级细则见 references/审查方法论.md。

4. 报告骨架

执行摘要先行（总体结论 + 最重要的发现表：风险 × 结论 × 证据引用 × 建议，一屏看完）；细节全部下沉附录；每条结论带证据引用（文件:行号或命令输出）。末尾必须有 "未来两周 N 件事"——可执行、有顺序、能勾销。

5. 发布前自检

进入发布议题时，按 references/发布前自检.md 的清单逐项核查：权利链、构建链、CI 真实性、测试有效性、本地化、存档可靠性、打包白名单、平台适配。任何一项"没查"就标"没查"，不许默认通过。

6. 裁决与落档

落裁决按共享原语原语·落判执行；本阶段模板：templates/审查裁决书.md。总体结论必须是明确判断（"可发布 / 带前置门槛可发布 / 不可发布"），不许"基本差不多了"。

卡片引用（见识层）

本 skill 随附提炼卡片库：references/cards-收尾.md；主题关键词示例："市场定位""团队协作"。引用纪律按共享原语原语·引卡执行。

诚实声明（本阶段专用提醒）

审查的结论永远受方法限制：只读审查证明不了运行时行为，抽样哈希证明不了全量一致，一次构建证明不了干净检出可复现。裁决书里写清本次审查方法的边界——报告的可信度，恰恰来自它如实声明自己没查什么。

姿态

发现高风险项时，不因"快发了"而降级表述。
每个坏消息必须配"怎么修"或"怎么验证"——只报忧不给路径的审查是恐吓，不是工作。

Bundled files

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

Frequently asked questions

What does the Zhangyi Review AI skill do?

Why use Zhangyi Review on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aph199686/zhangyi-studio/tree/main/skills/zhangyi-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 Zhangyi 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 Zhangyi Review?

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

Is the Zhangyi Review AI skill free?

Yes. It is published on GitHub by aph199686 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

张翼 · 审查收尾

工作流

1. 范围与证据口径先行

2. 核查：以现有实现为准

3. 结论分级（六级，每条结论必须挂级）

4. 报告骨架

5. 发布前自检

6. 裁决与落档

卡片引用（见识层）

诚实声明（本阶段专用提醒）

姿态

Bundled files

Frequently asked questions

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