refactor: research - move domain to repository root

2026-08-14 11:28:05 +00:00 · 2026-07-09 04:12:05 +08:00
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+# openai/codex 研究域 Agent 指南
+
+本目录维护 `openai/codex` 的独立研究域。
+
+## 目录职责
+
+```text
+openai-codex/
+├── README.md  # 研究域入口和判断层
+├── AGENTS.md  # 本目录维护规则
+├── domain.yml # 事实摘要层：仓库元数据、研究角色、来源证据
+├── analysis.md # L1 结构化研究结论、可借鉴点、风险和下一轮任务
+├── deep-dive.md # L2 源码/结构深度研究、关键机制和可迁移模式
+└── raw/       # 原始事实层：拉取到本地的一手材料快照
+```
+
+## 维护规则
+
+- 本目录只研究 `openai/codex`，不要混入其他仓库的横向比较正文。
+- 动态事实必须写入 `domain.yml.github_observed`，并更新 `observed_at`。
+- `raw/` 保存原始事实层，必须通过 `python3 scripts/fetch-research-raw.py` 刷新。
+- 不手工改写 `raw/*.raw.*` 文件；稳定事实摘要再同步到 `domain.yml`。
+- README 只写判断、定位、使用方式和后续观察点，不堆外部 README 全文。
+- `analysis.md` 写 L1 结构化理解；`deep-dive.md` 写 L2 源码证据、关键机制和可迁移模式。
+- 如果需要横向比较，在 `research/README.md` 或新的对比文档中处理，不把本目录重新变成聚合域。
+- 修改后运行 `make sync-doc-toc` 和 `make test`。
@@ -0,0 +1,58 @@
+# openai/codex 研究域
+
+## 字多不看
+
+- 本目录研究 `openai/codex` 这个外部仓库。
+- 当前优先级：P1；研究角色：官方 coding agent 工具源码。
+- GitHub 动态事实放在 `domain.yml`，观测日期为 2026-07-03。
+
+## 快速导航
+
+| 文档 | 定位 |
+|:---|:---|
+| [domain.yml](domain.yml) | 仓库事实快照、研究方向、优先级和来源证据。 |
+| [analysis.md](analysis.md) | 本研究域的结构化研究结果、可借鉴点、风险和下一轮任务。 |
+| [deep-dive.md](deep-dive.md) | L2 源码/结构深度研究、关键机制和可迁移模式。 |
+| [AGENTS.md](AGENTS.md) | 本研究域维护规则。 |
+
+<details>
+<summary><strong>完整细粒度目录（点击展开/收起）</strong></summary>
+
+### 细粒度目录
+
+- [domain.yml](domain.yml) - 仓库事实快照、研究方向、优先级和来源证据。
+- [analysis.md](analysis.md) - 本研究域的结构化研究结果、可借鉴点、风险和下一轮任务。
+- [deep-dive.md](deep-dive.md) - L2 源码/结构深度研究、关键机制和可迁移模式。
+- [AGENTS.md](AGENTS.md) - 本研究域维护规则。
+
+</details>
+
+## 使用方式
+
+- 先读本 README 的判断，再读 `analysis.md` 和 `deep-dive.md` 的研究结论，最后读 `domain.yml`。
+- 需要引用 stars、forks、release、归档状态时，先重新核验 GitHub。
+- 如果形成稳定方法论，再迁入 concepts、references、workflow 或 skills。
+
+## 正文
+
+### 研究定位
+
+`openai/codex` 的当前研究定位是：官方 coding agent 工具源码。
+
+### 当前判断
+
+适合作为 AI coding agent 工具实现、权限、沙箱和 CLI 交互研究对象。
+
+### 观察字段
+
+- GitHub URL：https://github.com/openai/codex
+- 当前研究方向：`coding-agent-tooling`
+- 当前优先级：P1
+- 当前归档状态：`false`
+- 主要语言：`Rust`
+
+### 后续观察
+
+- 是否有稳定文档结构、命令入口和可复用工作流。
+- 是否能反哺本仓库的 concepts、references、workflow 或 skills。
+- 是否存在许可证、归档状态、维护活跃度或生态迁移风险。
@@ -0,0 +1,65 @@
+# openai/codex 研究分析
+
+## 本轮结论
+
+`openai/codex` 的核心价值不是“官方 CLI 怎么写”，而是展示了成熟 coding agent 必须有执行控制面。
+它把配置、沙箱、执行策略、工具、技能、项目上下文和交互入口拆成显式对象，避免让高风险行为只靠
+提示词自觉。
+
+本仓最应该迁移的是治理思想：凡是能执行命令、改文件、访问网络或影响仓库状态的入口，都必须有
+owner、风险等级、输入输出、dry-run、CI 状态和审计边界。
+
+## 本地证据
+
+- 研究对象：`openai/codex`
+- 当前研究角色：官方 coding agent 工具源码
+- 原始仓库：`raw/repository/`
+- 原始来源清单：`raw/sources.yml`
+- 事实摘要：`domain.yml`
+- 深度证据：`deep-dive.md`
+
+## 对标拆解
+
+| 项 | 内容 |
+|:---|:---|
+| 参考对象 | `openai/codex` |
+| 它解决的核心问题 | 让本地 coding agent 的命令执行、文件修改和工具调用进入可配置、可审计、可限制的系统 |
+| 核心机制 | `config`、`sandboxing`、`linux-sandbox`、`tools`、`skills`、`docs/exec*`、`AGENTS.md` 分层 |
+| 真正带来结果的动作 | 把执行风险做成系统对象，而不是把风险控制写成提示词愿望 |
+| 可迁移做法 | 脚本登记表、风险等级、自动执行边界、人工审批边界、dry-run 和审计说明 |
+| 不可迁移条件 | 不复制 Rust workspace、Bazel/Nix、CLI runtime 和产品级沙箱实现 |
+| 下一步试用动作 | 先为本仓 `scripts/` 建立 `manifest.yml` 或等价登记表 |
+
+## 改良迭代
+
+| 改良目标 | 原模式 | 本仓版本 | 验证指标 |
+|:---|:---|:---|:---|
+| 脚本控制面 | Codex 将执行策略和沙箱显式化 | `scripts/manifest.yml` 记录脚本 owner、风险、输入、输出、CI 状态 | Agent 能判断哪些脚本可自动执行，哪些必须人工确认 |
+| Agent 上下文接口 | Codex 使用 `AGENTS.md` 承载项目规则 | 保持根目录和子目录 `AGENTS.md` 为正式上下文入口 | 新目录或架构变更后索引和 AGENTS 同步 |
+| 技能治理 | Codex 将 skills 作为可复用能力对象 | 本仓 skills 必须有触发条件、边界、输入输出和验证 | skill 不再只是 prompt 收藏 |
+
+## 可迁移清单
+
+- 对所有写仓库、网络访问、高风险发布或迁移脚本标注风险等级。
+- 对脚本补齐输入、输出、幂等性、dry-run、失败恢复和审计说明。
+- 把 Agent 可自动执行与必须人工确认的边界写进 `scripts/AGENTS.md`。
+- 把命令执行策略沉淀到 `docs/references/` 或 `docs/workflow/`。
+
+## 不可迁移清单
+
+- 不把本仓改造成 Codex 类 runtime 产品。
+- 不为了“看起来企业级”引入复杂沙箱、Bazel、Nix 或多语言构建系统。
+- 不把官方产品实现等同于本仓必须采用的唯一标准。
+
+## 验证动作
+
+| 动作 | 成功信号 | 失败信号 |
+|:---|:---|:---|
+| 抽样 5 个 `scripts/` 文件登记 owner、风险、输入输出 | 维护者能一眼判断脚本能否自动跑 | 仍需要读源码才知道脚本风险 |
+| 给写仓库脚本补 dry-run 或说明为何不能 dry-run | 高风险动作有预演或审计路径 | 脚本一运行就产生不可逆副作用 |
+| 把脚本风险边界加入 `scripts/AGENTS.md` | Agent 执行前能引用明确规则 | 每次仍靠对话临时判断 |
+
+## 沉淀判断
+
+- 稳定结论应下沉到 `scripts/`、`docs/workflow/` 和 `docs/references/`。
+- `deep-dive.md` 保留源码证据；本文件负责把证据转成迁移动作。
@@ -0,0 +1,90 @@
+# openai/codex 深度研究
+
+## 研究级别
+
+- 当前级别：L2 源码/结构深度研究。
+- 研究对象：`openai/codex`。
+- 证据来源：本目录 `raw/` 下的 GitHub 元数据、README 快照和本地仓库工作树。
+- 观察日期：2026-07-03。
+
+## L2 结论
+
+`openai/codex` 不是简单的 CLI 包，而是一个以 Rust 工作区为核心的 coding agent
+控制面。它把协议、配置、沙箱、工具、提示词、技能、TUI、CLI 包装和 MCP 服务拆成相对清晰的
+边界，说明成熟 coding agent 的核心不是“会调用模型”，而是把模型能力放进可配置、可审计、
+可限制、可交互的执行系统里。
+
+对本仓最有价值的不是复制实现，而是学习它的边界设计：执行策略、沙箱策略、Agent 指令、
+技能、配置和交互文档都被显式建模，避免把高风险行为藏在零散脚本或提示词里。
+
+## 源码证据
+
+- `raw/repository/codex-rs/protocol/`：协议层，说明 agent 运行时需要稳定消息边界。
+- `raw/repository/codex-rs/config/`：配置层，承载运行参数、模型和权限相关配置。
+- `raw/repository/codex-rs/sandboxing/`：跨平台沙箱抽象，说明执行权限是核心产品能力。
+- `raw/repository/codex-rs/linux-sandbox/`：Linux 沙箱实现，说明本地命令执行必须有边界。
+- `raw/repository/codex-rs/tools/`：工具层，说明 agent 能力通过显式工具接口接入。
+- `raw/repository/codex-rs/skills/`：技能层，说明可复用操作经验被工程化为独立对象。
+- `raw/repository/codex-rs/tui/`：终端交互层，承载人机协作的主要用户界面。
+- `raw/repository/codex-cli/bin/codex.js`：npm 分发入口，本质上是对核心运行时的包装。
+- `raw/repository/docs/exec.md`：命令执行文档，说明执行行为需要公开契约。
+- `raw/repository/docs/execpolicy.md`：执行策略文档，说明权限策略需要独立表达。
+- `raw/repository/docs/sandbox.md`：沙箱文档，说明安全边界不是实现细节。
+- `raw/repository/docs/agents_md.md`：Agent 指令文档，说明项目级上下文是正式接口。
+- `raw/repository/docs/skills.md`：技能文档，说明技能不是杂项 prompt，而是可治理能力单元。
+
+## 关键机制
+
+### 协议优先
+
+Codex 将 agent 运行时拆成协议、客户端、服务和界面等层次。这个结构把“模型说了什么”与
+“系统如何执行”分开，降低了 CLI、TUI、MCP 和未来其他入口之间互相污染的概率。
+
+### 沙箱和审批是核心对象
+
+本地 agent 的最大风险来自命令执行、文件写入、网络访问和外部工具调用。Codex 把 sandbox、
+exec policy 和配置作为显式层，而不是把风险控制埋进一段提示词。这是企业级 agent 的底线：
+风险必须是系统能力，不是靠模型自觉。
+
+### 文档就是运行契约
+
+`docs/exec.md`、`docs/execpolicy.md`、`docs/sandbox.md`、`docs/agents_md.md` 和
+`docs/skills.md` 共同构成运行契约。它们不是营销文档，而是告诉使用者和贡献者：
+哪些行为可执行，哪些行为受限，哪些上下文会被读取，技能如何介入系统。
+
+### 分发壳和核心运行时分离
+
+`codex-cli/` 更像分发入口，核心复杂度集中在 `codex-rs/`。这种结构适合长期维护：
+包管理、安装体验和跨平台入口可以变化，但 agent 核心边界保持稳定。
+
+## 可迁移模式
+
+- 把 agent 执行相关内容分成 `config`、`sandbox`、`exec policy`、`tools`、`skills` 和
+  `agent context` 六类，不混在一个 README 或提示词里。
+- 对任何会执行命令、改文件或访问网络的脚本，增加风险等级、dry-run、审批策略和审计说明。
+- 将 `AGENTS.md` 视为项目级上下文接口，而不是临时提示词。
+- 将 skills 视为可复用能力单元，要求有触发条件、边界、输入输出和验证方式。
+- 对本仓 `scripts/`、`skills/`、`research/` 建立类似的控制面文档。
+
+## 对本仓的影响
+
+本仓已经有 `AGENTS.md`、`skills/`、`scripts/`、`research/` 和 raw 事实层，下一步应把这些
+对象之间的运行关系写得更明确：
+
+- `scripts/` 是仓库控制面，不是杂物间。
+- `skills/` 是 Agent 可复用能力层，不是提示词收藏夹。
+- `research/` 是研究对象网络，不是外链列表。
+- `AGENTS.md` 是 AI 协作的项目级接口，不是单纯贡献指南。
+
+## 风险和待验证项
+
+- Codex 是官方产品仓库，行为可能随版本快速变化；动态事实必须以 `domain.yml` 观测日为准。
+- 本地源码只能说明公开实现和文档，不能完整代表云端模型、服务端策略或私有运行逻辑。
+- 本轮没有运行 Codex 自身测试，结论只覆盖结构研究，不覆盖性能、稳定性或真实使用体验。
+
+## 下一步 L3 验证任务
+
+- 把本仓 `scripts/` 的风险分级和可执行入口整理成 `manifest.yml` 或等价登记表。
+- 为高风险脚本补齐 dry-run、输入输出、owner、CI 状态和审计说明。
+- 从 Codex 的 `exec policy` 和 `sandbox` 文档中抽象本仓可用的脚本治理检查清单。
+- 在 `docs/references/` 沉淀“coding agent 控制面”模板，避免研究结论长期滞留在 research。
@@ -0,0 +1,32 @@
+version: 1
+repo:
+  name: openai/codex
+  source_name: openai/codex
+  url: https://github.com/openai/codex
+research:
+  domain_id: openai-codex
+  domain_name: openai/codex 研究域
+  primary_direction: coding-agent-tooling
+  role: 官方 coding agent 工具源码
+  priority: 1
+  why_study: 适合作为 AI coding agent 工具实现、权限、沙箱和 CLI 交互研究对象。
+github_observed:
+  observed_at: '2026-07-03'
+  source: gh repo view
+  stars: 95112
+  forks: 14105
+  archived: false
+  language: Rust
+  license: apache-2.0
+  default_branch: main
+  pushed_at: '2026-07-02T22:05:48Z'
+  updated_at: '2026-07-02T21:01:16Z'
+  latest_release: rust-v0.142.5
+  homepage: ''
+  topics: []
+source_evidence:
+  file: ChatGPT-中文Vibe Coding仓库 (2).md
+  line: 56
+maintenance:
+  fact_policy: GitHub 动态字段只代表 observed_at 当日快照，更新结论前必须重新核验。
+  split_policy: 本目录已经是一等研究域；更深分析放入本目录新增文档。
@@ -0,0 +1,12 @@
+# raw/ Agent 指南
+
+本目录是 `openai/codex` 的原始事实层。
+
+## 维护规则
+
+- 只保存从研究对象拉取的一手材料，不写分析判断。
+- `repository/` 是本地 Git 工作树，刷新时由脚本 clone 或 fast-forward pull。
+- 不手工改写 `*.raw.*` 文件内容；需要刷新时运行 `python3 scripts/fetch-research-raw.py`。
+- `sources.yml` 必须记录拉取时间、来源命令和每个文件的状态。
+- 外部 README 原文必须保存为 `.txt`，避免本仓库 Markdown 链接检查误判。
+- 分析、判断、采用建议和沉淀路径写回上一级 `README.md`、`analysis.md` 或 `decisions.md`。
@@ -0,0 +1,16 @@
+# raw 事实层
+
+本目录保存 `openai/codex` 的本地原始材料快照。
+
+这里不写分析结论，只保存可复查的一手资料：
+
+- `sources.yml`：来源清单、拉取时间、命令和文件状态。
+- `repository/`：Git 仓库工作树；本目录由 `.gitignore` 忽略，只作为本地研究材料。
+- `github-repo.raw.json`：GitHub 仓库元数据。
+- `github-readme.raw.md.txt`：GitHub README 原文快照。
+- `github-license.raw.txt`：GitHub license 原文快照；仓库无 license 时可能不存在。
+- `github-root-contents.raw.json`：默认分支根目录内容快照。
+- `github-languages.raw.json`：GitHub language 统计快照。
+- `github-latest-release.raw.json`：最新 release 快照；无 release 时可能不存在。
+
+`repository/` 是外部源码快照，不参与本仓库 Markdown、链接、README/AGENTS 覆盖检查。原始 README 使用 `.txt` 后缀保存，避免其中的外部相对链接被本仓库 Markdown 链接检查误判。
@@ -0,0 +1,16 @@
+{
+  "Rust": 38644372,
+  "Python": 1061534,
+  "Starlark": 91784,
+  "TypeScript": 86475,
+  "Shell": 58255,
+  "PowerShell": 48899,
+  "JavaScript": 28986,
+  "Jupyter Notebook": 20702,
+  "HTML": 18785,
+  "Just": 6391,
+  "Smarty": 5842,
+  "Nix": 4427,
+  "Dockerfile": 883,
+  "C": 52
+}
@@ -0,0 +1,201 @@
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@@ -0,0 +1,71 @@
+<p align="center"><strong>Codex CLI</strong> is a coding agent from OpenAI that runs locally on your computer.
+<p align="center">
+  <img src="https://github.com/openai/codex/blob/main/.github/codex-cli-splash.png" alt="Codex CLI splash" width="80%" />
+</p>
+</br>
+If you want Codex in your code editor (VS Code, Cursor, Windsurf), <a href="https://developers.openai.com/codex/ide">install in your IDE.</a>
+</br>If you want the desktop app experience, run <code>codex app</code> or visit <a href="https://chatgpt.com/codex?app-landing-page=true">the Codex App page</a>.
+</br>If you are looking for the <em>cloud-based agent</em> from OpenAI, <strong>Codex Web</strong>, go to <a href="https://chatgpt.com/codex">chatgpt.com/codex</a>.</p>
+
+---
+
+## Quickstart
+
+### Installing and running Codex CLI
+
+Run the following on Mac or Linux to install Codex CLI:
+
+```shell
+curl -fsSL https://chatgpt.com/codex/install.sh | sh
+```
+
+Run the following on Windows to install Codex CLI:
+
+```shell
+powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
+```
+
+Codex CLI can also be installed via the following package managers:
+
+```shell
+# Install using npm
+npm install -g @openai/codex
+```
+
+```shell
+# Install using Homebrew
+brew install --cask codex
+```
+
+Then simply run `codex` to get started.
+
+<details>
+<summary>You can also go to the <a href="https://github.com/openai/codex/releases/latest">latest GitHub Release</a> and download the appropriate binary for your platform.</summary>
+
+Each GitHub Release contains many executables, but in practice, you likely want one of these:
+
+- macOS
+  - Apple Silicon/arm64: `codex-aarch64-apple-darwin.tar.gz`
+  - x86_64 (older Mac hardware): `codex-x86_64-apple-darwin.tar.gz`
+- Linux
+  - x86_64: `codex-x86_64-unknown-linux-musl.tar.gz`
+  - arm64: `codex-aarch64-unknown-linux-musl.tar.gz`
+
+Each archive contains a single entry with the platform baked into the name (e.g., `codex-x86_64-unknown-linux-musl`), so you likely want to rename it to `codex` after extracting it.
+
+</details>
+
+### Using Codex with your ChatGPT plan
+
+Run `codex` and select **Sign in with ChatGPT**. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. [Learn more about what's included in your ChatGPT plan](https://help.openai.com/en/articles/11369540-codex-in-chatgpt).
+
+You can also use Codex with an API key, but this requires [additional setup](https://developers.openai.com/codex/auth#sign-in-with-an-api-key).
+
+## Docs
+
+- [**Codex Documentation**](https://developers.openai.com/codex)
+- [**Contributing**](./docs/contributing.md)
+- [**Installing & building**](./docs/install.md)
+- [**Open source fund**](./docs/open-source-fund.md)
+
+This repository is licensed under the [Apache-2.0 License](LICENSE).
@@ -0,0 +1,35 @@
+{
+  "createdAt": "2025-04-13T05:37:54Z",
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+  "watchers": {
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+  }
+}
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