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[Español](README.es.md) | [한국어](README.ko.md) | [Português (Brasil)](README.pt-BR.md)\n\n面对规模较大的产品开发，Codex有时会为了技术上的一致性，把事情做得比用户真正需要的更多。穷尽所有边界情况、让每条路径都得到确定结果，看似严谨，却可能在既定目标并不要求的地方改变用户实际看到的行为。\n\ncodex-workflows把工作限制在“已确认的最小目标”之内。它先明确哪些用户可见行为允许改变、哪些绝不能动，并要求在结束前拿出验证依据。在这些边界内，Codex再结合仓库现状，选择容易回退的实现细节。\n\n这些工作流以Agent Skills和自定义代理的形式安装到[OpenAI Codex CLI](https://developers.openai.com/codex/cli)中。主Codex会话在设计前确认范围和大致成本，负责推进工作并处理评审意见，再将获批的工作一路推进到实现和独立验证。\n\n---\n\n## 为什么不直接使用Codex？\n\n如果只是范围明确的修复、一次性实验或临时脚本，直接使用Codex更合适。当预期结果和安全的实现边界已经很清楚时，这样更快，成本也更低。\n\n如果技术选择可能改变产品范围、用户可见行为，或者某项决策需要跨上下文长期保留，就适合使用codex-workflows。\n\n比如，“扩展现有认证流程”这项需求，可能逐渐演变成第二套认证机制、更宽泛的校验和新的响应约定。前端可以跟着适配，测试也都能通过，但用户最终得到的行为却从未经过确认。\n\ncodex-workflows会在整个执行过程中约束这种范围膨胀：\n\n| 控制点 | 带来的变化 |\n|---|---|\n| 范围 | 工作流会对照预期结果、明确排除项、现有代码和大致实现成本来检查需求。投入与收益不相称的工作，会在演变成架构设计之前被删掉；万一还是进来了，之后也会砍掉。 |\n| 阶段门槛 | 需求、设计和计划的产出必须先通过检查，才能授权下一阶段。新代理直接读取已经批准的决策和所需依据，无须从一段很长的对话中重新猜测意图。 |\n| 执行 | 你授权实现之后，Codex会自主完成整组任务。每项任务都要通过针对性验证和仓库要求的检查，之后才会提交实现。 |\n| 完成 | 独立的代码评审和安全评审会确认最终改动未超出已批准范围，且不存在重大问题。必须修复的问题会回到同一套实现与质量流程。 |\n\n与直接执行相比，这套工作流会调用更多代理、消耗更多token。只有当保护既定目标值得这笔成本时，才需要使用它。\n\nCodex能处理某个边界情况，并不代表这项工作就有必要做。额外校验、确定性行为或新的抽象层，必须是为了保护已批准的需求或可观测契约，或者处理已经证实的故障。反过来也一样：如果某个设计决策最后超出了目标所需，工作流会将其删除，而不会仅仅因为它已经写进文档就继续保留。\n\n### 一次真实的工作流运行\n\n[mcp-image中的BytePlus Seedream提供商集成](https://github.com/shinpr/mcp-image/pull/114)跨18个文件加入了第三家外部图像服务。8项计划任务在逐步完善提供商特有实现的同时，始终没有改变公开的MCP请求、客户端、文件保存和文件URI契约。\n\n合并前针对真实服务的评估确定了最终的模型路由、提示词上限、超时和响应处理方式。独立评审还发现了无上限文件读取、绕过校验、会阻塞的FIFO路径，以及API密钥规范化不一致等问题。这四项问题全部得到修复，PR最终通过了19个文件中的303项测试，以及一次不重试的真实服务调用。8项任务和4次修复从头到尾都没有改变已经批准的公开契约。\n\n---\n\n## 快速开始\n\n需要Node.js 22或更高版本，以及最新的[Codex CLI](https://developers.openai.com/codex/cli)。\n\n### 安装并运行\n\n```bash\ncd your-project\nnpx codex-workflows install\n```\n\n然后在Codex CLI中调用一个工作流：\n\n```\n$recipe-implement 使用JWT添加用户认证\n```\n\n`$`表示显式调用一项技能。输入`$recipe-`即可查看可用工作流。\n\n### 选择合适的入口\n\n| 你的目标 | 从这里开始 |\n|---|---|\n| 端到端交付改动，由工作流自动选择后端、前端或全栈路径 | `$recipe-implement` |\n| 先完成设计，稍后再实现 | `$recipe-design` → `$recipe-plan` → `$recipe-build` |\n| 设计并实现React / TypeScript Web前端 | `$recipe-front-design` → `$recipe-front-plan` → `$recipe-front-build` |\n| 直接进入后端与React前端分别设计的流程 | `$recipe-fullstack-implement` |\n| 按照设计评审实现 | `$recipe-review` 或 `$recipe-front-review` |\n| 定义或更新仓库专属质量规则 | `$recipe-quality-profile` |\n| 调查问题但不修改代码 | `$recipe-diagnose` |\n| 做一次性实验或临时脚本 | 直接使用Codex |\n\n---\n\n## 工作原理\n\n```mermaid\nflowchart LR\n    A[需求] --> B[确认最小且有用的目标]\n    B --> C{实现路径是否已经明确？}\n    C -->|是| S[直接任务循环与安全评审]\n    S --> L[完成]\n    C -->|否| D[调研、设计与评审]\n    D --> E[规划存在依赖关系的工作]\n    E --> F[授权实现]\n    F --> H[逐项实现、验证、质量检查并提交]\n    H --> K[独立代码评审和安全评审]\n    K -->|需要修正| H\n    K -->|需求或主要设计发生变化| B\n    K -->|通过| L[完成]\n```\n\n决定采用哪条路径的，是互相独立的产品和设计决策数量，而不是文件数量，也不是Codex能找出多少边界情况。\n\n| 规模 | 改动所需条件 | 执行方式 |\n|------|--------------|----------|\n| 小 | 一个目标，并且能在系统的某一部分沿用现有模式 | 确认任务 → 实现 → 质量和安全检查 |\n| 中 | 一个目标，但需要系统多个部分相互配合，或需要作出长期保留的设计决策 | 已评审的Design Doc，必要时补充UI Spec / ADR → 选定集成/E2E验证 → 已评审的Work Plan → 自主任务循环 → 最终验证 |\n| 大 | 多个目标，并且各自需要设计决策 | 已评审的Design Doc，以及PRD（除非你选择省略），必要时补充UI Spec / ADR → 选定集成/E2E验证 → 已评审的Work Plan → 自主任务循环 → 最终验证 |\n\n只有当前范围中存在一项需要长期保留的选择，并且至少有两个实质不同的方案时，才会创建ADR。若有多项选择符合条件，会集中评审这些ADR。只有成本更低的测试无法证明所需交互时，才会选择集成或E2E测试。有些改动两者都不需要。\n\n只有会影响产品或仓库实现的决策，才会写进需要长期保留的项目文档。第三方审批、生产环境权限、发布操作和无关的运维工作，不会变成实现阶段的门槛。\n\n实现获得授权后，编排器会执行任务、针对性验证、适用的仓库检查，并为每项任务生成一次实现提交。遇到问题时，它会优先根据已批准的文档和仓库证据自行解决。用户可见行为始终是产品边界，不能为了内部一致性而由实现擅自调整。只有当继续推进需要新增产品需求、改动你提出过或排除过的内容、使用只有你拥有的权限，或执行未经授权且无法撤销的操作时，编排器才会询问你。找到更精简的实现方式不算其中之一，已经给过的许可也不会再问一遍。\n\n每个专业代理都会拿到边界明确的任务、相关文档和路径，以及需要返回的明确结果。专业代理负责把任务执行到完成。主会话会遵循你确定的产品边界并负责推进工作流，只在需要决策或遇到具体阻碍时介入，并在进入下一阶段前检查结果。这样既让专业代理有足够空间完成工作，也不会让它们擅自扩大已批准的目标。\n\n### 如何让决策在新上下文中继续生效\n\n将上下文分开，可以避免调研、设计、实现和评审在不知不觉间共享未经说明的前提。内置的[Work Plan模板](.agents/skills/documentation-criteria/references/plan-template.md)会把每项实现任务关联到Design Doc中的对应章节和验收标准：\n\n```markdown\n### P1-T1: 保持错误响应契约不变\n\n- **来源**: `docs/design/example-design.md`，API契约，AC-2\n- **范围**: 更新仓库实现及对应的针对性测试\n- **依赖**: 无\n- **验证**: 运行契约测试，确认响应结构符合文档\n```\n\n[Task File Contract](.agents/skills/llm-friendly-context/references/task-template.md)会把来源、预期结果、目标文件和可执行的验证方法传递到实现阶段。只有在测试可能通过、却没有证明某项关键行为时，才会增加`Verification Focus`。任务执行完毕后，完整改动必须在提交前通过适用的仓库检查。最终评审者会将完成的代码与已批准文档逐项对照，同时检查是否存在超出批准范围的实现或重大的代码质量问题。接受修正后，下一轮评审只聚焦于可能受该修正影响的检查项。运行`$recipe-quality-profile`，可在`docs/project-context/quality.yaml`中定义实现和评审时使用的仓库专属质量规则。\n\n---\n\n## 安装\n\n### 环境要求\n\n- 最新版[Codex CLI](https://developers.openai.com/codex/cli)\n- Node.js 22或更高版本\n\n### 安装方式\n\n安装到当前项目：\n\n```bash\ncd your-project\nnpx codex-workflows install\n```\n\n以下内容会被复制到项目中：\n\n- `.agents/skills/`：Codex技能（基础技能和工作流）\n- `.codex/agents/`：子代理TOML定义\n- 用于跟踪托管文件的清单\n\n如果希望所有项目都能使用这些工作流，请改为安装到用户级`CODEX_HOME`：\n\n```bash\nnpx codex-workflows install --user\n```\n\n技能会安装到`$CODEX_HOME/skills/`，代理会安装到`$CODEX_HOME/agents/`。未设置`CODEX_HOME`时，默认使用`~/.codex`。\n\n### 自定义代理\n\n代理定义都是普通的TOML文件。项目级安装请编辑`.codex/agents/`中的文件；用户级安装请编辑`$CODEX_HOME/agents/`中的文件。你可以修改`model`、`sandbox_mode`或`developer_instructions`。按照下文说明，更新程序会保留已编辑的文件。\n\n### 更新\n\n```bash\n# 预览变更\nnpx codex-workflows update --dry-run\n\n# 应用更新\nnpx codex-workflows update\n\n# 更新用户级安装\nnpx codex-workflows update --user\n```\n\n更新程序会保留你在本地修改过的文件。它会把每个文件与安装时的哈希值进行比较，并跳过已经改动的文件。带版本的更新历史会按顺序处理文件移动和删除，因此本地修改也会跟随文件移动到新路径。已修改但被移除且没有替代文件的内容，会转移到`.codex-workflows-preserved/<version>/`。新增文件则会自动加入。\n\n```bash\n# 查看已安装版本\nnpx codex-workflows status\n\n# 查看用户级安装状态\nnpx codex-workflows status --user\n```\n\n---\n\n## 工作流参考\n\n在Codex中使用`$recipe-name`调用工作流。输入`$recipe-`并使用Tab补全，可以查看所有可用选项。\n\n<details>\n<summary>查看全部工作流入口</summary>\n\n### 后端与通用开发\n\n| 工作流 | 功能 | 适用场景 |\n|--------|------|----------|\n| `$recipe-implement` | 完整生命周期，并根据层次分流（后端/前端/全栈） | 新功能（通用入口） |\n| `$recipe-design` | 需求 → 根据规模选择产品和设计文档 | 产品与架构设计 |\n| `$recipe-plan` | Design Doc → 按需生成集成/E2E测试骨架 → Work Plan | 根据已批准的Design Doc制定计划 |\n| `$recipe-prepare-implementation` | 准备已批准Work Plan所需的现有仓库内工具 | 明确要求准备环境，或任务所需能力不可用 |\n| `$recipe-build` | 执行后端任务，并在各步骤之间验证 | 继续后端实现 |\n| `$recipe-review` | 评审实现范围、Design Doc符合性、代码质量和安全性，并应用用户批准的修正 | 实现后检查 |\n| `$recipe-quality-profile` | 在`docs/project-context/quality.yaml`中定义或更新仓库专属质量规则 | 设置和维护质量规则 |\n| `$recipe-diagnose` | 调查问题 → 验证故障点 → 提出解决方案 | 缺陷调查 |\n| `$recipe-reverse-engineer` | 从现有代码生成PRD和Design Doc | 遗留系统文档化 |\n| `$recipe-add-integration-tests` | 根据Design Doc添加集成/E2E测试 | 为现有代码补充测试 |\n| `$recipe-update-doc` | 评审并更新已有Design Doc / PRD / ADR | 规格变更、文档维护 |\n\n### 前端（React/TypeScript）\n\n| 工作流 | 功能 | 适用场景 |\n|--------|------|----------|\n| `$recipe-front-design` | 需求 → 根据规模选择UI和设计文档 | 前端产品与架构设计 |\n| `$recipe-front-adjust` | 根据仓库、已有资料或必要外部依据进行针对性UI调整 | 实现后的局部UI修改 |\n| `$recipe-front-plan` | 前端Design Doc → 按需生成集成/E2E测试骨架 → Work Plan | 前端规划阶段 |\n| `$recipe-front-build` | 执行前端任务，并进行针对性验证和质量检查 | 继续前端实现 |\n| `$recipe-front-review` | 评审前端范围、符合性、代码质量和安全性，并应用用户批准的React修正 | 前端实现后检查 |\n\n### 全栈（跨层）\n\n| 工作流 | 功能 | 适用场景 |\n|--------|------|----------|\n| `$recipe-fullstack-implement` | 完整生命周期，每一层使用独立Design Doc | 跨层功能 |\n| `$recipe-fullstack-build` | 根据层次把任务交给对应代理执行 | 继续全栈实现 |\n\n</details>\n\n## 工作状态\n\n工作流使用`docs/plans/`存放临时状态，包括Work Plan、实现Task File，以及临时的评审修复或测试补充Task File。每次实现提交通过质量检查后，这里会更新任务和阶段进度，但这些进度文件不会进入实现提交。除非团队希望评审这些临时文件，否则请把该目录加入项目的`.gitignore`：\n\n```gitignore\ndocs/plans/\n```\n\nPRD、ADR、UI Spec和Design Doc属于需要长期保存的项目文档，应当提交。\n\n---\n\n## 内置指导原则\n\n不必调用工作流，也能用上这些指导原则。普通对话中 Codex 同样会加载它们，所以小的缺陷修复也会遵循和完整工作流相同的根因、范围和验证标准。\n\n<details>\n<summary>查看基础技能</summary>\n\n| 技能 | 提供的能力 |\n|------|------------|\n| `coding-rules` | 代码质量、函数设计、错误处理、重构 |\n| `testing` | 与任务规模相称的TDD、可观测验证方式选择、测试完整性和仓库规定的检查 |\n| `ai-development-guide` | 基于证据的根因分析、合理的影响评估和适用的质量保证 |\n| `reviewee-judgment` | 在评审意见转化为修改工作前，先根据证据进行判断 |\n| `documentation-criteria` | 文档创建规则和模板（PRD、ADR、Design Doc、Work Plan） |\n| `requirement-convergence` | 在设计前明确目标、需求层次、用户决定的排除项和大致成本 |\n| `implementation-approach` | 直接MVP、有依据的扩展、删减、切分和验证边界 |\n| `integration-e2e-testing` | 只选择和设计能够证明必要真实交互的集成/E2E测试 |\n| `external-resource-context` | 针对当前决策，只查找并确认所需的一项外部依据 |\n| `llm-friendly-context` | 供后续代理使用的清晰提示、交接内容、生成文档、Task File和评审意见 |\n| `subagent-delegation` | 让子代理完成分配的工作，在需要决策时发起讨论 |\n| `subagents-orchestration-guide` | 多代理协调、工作流推进和按既定指引自主执行 |\n\n另有面向Web前端TypeScript（包括React应用）的参考资料：`coding-rules/references/typescript.md`和`testing/references/typescript.md`。这些内容不适用于后端TypeScript。\n\n</details>\n\n---\n\n## 专业代理\n\n执行工作流时，Codex会按需启动以下代理。你无须事先掌握这些角色：工作流会把不同领域的任务交给对应代理，编排器继续掌控整体流程。每个代理都有独立上下文、专业指令和明确列出的必需技能。\n\n<details>\n<summary>查看全部专业代理角色</summary>\n\n### 文档创建代理\n\n| 代理 | 职责 |\n|------|------|\n| `requirement-analyzer` | 调查仓库中受影响的部分和大致成本，帮助确定范围 |\n| `prd-creator` | 创建并组织PRD |\n| `technical-designer` | 创建完整ADR批次或Design Doc（后端/通用） |\n| `technical-designer-frontend` | 创建完整的前端ADR批次或Design Doc（React） |\n| `ui-spec-designer` | 根据PRD和可选原型代码创建UI Specification |\n| `codebase-analyzer` | 从仓库中提取技术决策、精简设计和验证所需的关键信息 |\n| `ui-analyzer` | 从外部资源（设计工具、设计系统文档、线上UI）和前端代码中整理UI事实 |\n| `work-planner` | 根据Design Doc创建Work Plan |\n| `document-reviewer` | 按照上层需求和设计决策评审文档 |\n| `design-sync` | 验证不同文档之间的一致性 |\n\n### 实现代理\n\n| 代理 | 职责 |\n|------|------|\n| `task-decomposer` | 将Work Plan拆成数量最少、可以执行的Task File |\n| `task-executor` | 根据Task File实现并完成针对性验证（后端） |\n| `task-executor-frontend` | 实现React改动，并完成适用的行为型RTL验证 |\n| `quality-fixer` | 执行适用的仓库检查，修复范围内的质量问题（后端） |\n| `quality-fixer-frontend` | 执行并修复适用的React、TypeScript、RTL和打包检查 |\n| `acceptance-test-generator` | 生成已选定的集成/E2E测试骨架 |\n| `integration-test-reviewer` | 评审测试质量 |\n\n### 分析代理\n\n| 代理 | 职责 |\n|------|------|\n| `code-reviewer` | 对照批准范围和约束文档检查最终实现，并指出重大的代码质量问题 |\n| `code-verifier` | 验证文档与代码的一致性 |\n| `security-reviewer` | 实现后进行安全符合性评审 |\n| `scope-discoverer` | 为逆向文档发现代码库范围，并整理PRD单元 |\n| `technical-spike` | 在有限范围内验证一项可能影响设计决策的效果或成本 |\n\n### 诊断代理\n\n| 代理 | 职责 |\n|------|------|\n| `investigator` | 收集证据、梳理路径并发现故障点 |\n| `verifier` | 验证路径覆盖，并独立评估故障点 |\n| `solver` | 权衡取舍，推导解决方案 |\n\n</details>\n\n---\n\n## 项目结构\n\n安装后，项目中会增加以下内容：\n\n<details>\n<summary>查看安装后的目录结构</summary>\n\n```\nyour-project/\n├── .agents/skills/           # Codex技能\n│   ├── coding-rules/         # 基础指导原则\n│   ├── testing/\n│   ├── ai-development-guide/\n│   ├── reviewee-judgment/\n│   ├── documentation-criteria/\n│   ├── requirement-convergence/\n│   ├── implementation-approach/\n│   ├── integration-e2e-testing/\n│   ├── external-resource-context/\n│   ├── llm-friendly-context/\n│   ├── subagent-delegation/\n│   ├── subagents-orchestration-guide/\n│   └── recipe-*/             # 工作流入口（$recipe-*）\n├── .codex/agents/            # 子代理TOML定义\n│   ├── requirement-analyzer.toml\n│   ├── technical-designer.toml\n│   ├── ui-analyzer.toml\n│   ├── task-executor.toml\n│   └── ...（共25个代理）\n└── docs/                     # 使用工作流时创建\n    ├── prd/\n    ├── design/\n    ├── adr/\n    ├── ui-spec/\n    └── plans/\n        └── tasks/\n```\n\n</details>\n\n---\n\n## 生态系统\n\n[Nautilus](https://github.com/shinpr/nautilus)用于验证产品想法并产出PRD，[linear-prism](https://github.com/shinpr/linear-prism)则把已批准的需求整理成可直接实施的Linear任务。[claude-code-workflows](https://github.com/shinpr/claude-code-workflows)在Claude Code中采用同样的方法，并可与codex-workflows安装在同一项目中。[outcome-doctor](https://github.com/shinpr/agent-clinic)通过Jev检查Codex的实现方案相对目标是否过度或不足，需要TypeSafe API密钥。\n\n### 想在这里用Astra？\n\n整个工作流都用Astra跑，用量很快就会见底。[codex-subagent-playbook](https://github.com/shinpr/codex-subagent-playbook)是一个Codex插件，按子代理挑选模型，只在会改变结果的环节使用Astra。\n\n<details>\n<summary>设置（2步）</summary>\n\n编排器用Sol，或者把Astra的reasoning effort调低。哪些子代理用Astra、哪些用更便宜的模型，由插件的技能决定；实现交给Luna。\n\n**1. 安装插件**\n\n```bash\ncodex plugin marketplace add shinpr/codex-subagent-playbook\n```\n\n打开`/plugins`，找到**Subagent Playbook**并安装。\n\n**2. 关闭本仓库的`subagent-delegation`技能**\n\n本仓库和插件各自都带了委派技能，两者没有优先级之分。每个会话加载哪一个并不固定，也不会有任何提示或报错，因此每次运行的行为都可能不一样。打开`~/.codex/config.toml`，添加一条指向已安装的`subagent-delegation`技能的配置。\n\n使用`--user`安装时：\n\n```toml\n[[skills.config]]\npath = \"/Users/you/.codex/skills/subagent-delegation/SKILL.md\"\nenabled = false\n```\n\n安装到项目时：\n\n```toml\n[[skills.config]]\npath = \"/absolute/path/to/your-project/.agents/skills/subagent-delegation/SKILL.md\"\nenabled = false\n```\n\n路径要写完整，这里不能用`~`或环境变量。\n\n工作流的使用方式不变。技能会在需要时加载，每个任务都用合适的模型执行。\n\n</details>\n\n---\n\n## 设计思路\n\n<details>\n<summary>了解工作流设计背后的资料</summary>\n\n- [Why LLMs Are Bad at 'First Try' and Great at Verification](https://www.norsica.jp/blog/llm-verification-over-generation)：为什么面对复杂工作，评审循环和会话隔离比一次生成更可靠\n- [When Better Models Make Old Agent Workflows Worse](https://www.norsica.jp/blog/when-better-models-make-old-agent-workflows-worse)：为什么工作流约束应保护边界和证据，而不是规定模型内部必须走哪条路径\n- [Reasoning Effort Is Not a Quality Setting](https://www.norsica.jp/blog/reasoning-effort-is-not-a-quality-setting)：为什么只有当前阶段有能力筛选并放弃额外工作时，更广泛的技术探索才有价值\n- [Stop Putting Everything in AGENTS.md](https://www.norsica.jp/blog/stop-putting-everything-in-agents-md)：为什么`AGENTS.md`应保持精简，而规则、文档和任务说明应靠近实际使用位置\n\n</details>\n\n---\n\n## 许可证\n\nMIT License。可自由使用、修改和分发。\n\n---\n\n由[@shinpr](https://github.com/shinpr)开发并维护。\n","readmeFilename":"README.zh-CN.md"}