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Codex With Chatgpt

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XiaoDuoYa
codex-with-chatgpt

Use ChatGPT (web) as the planning and review brain for Codex coding sessions, while Codex keeps full execution ownership. Use when the user says "使用 Codex with ChatGPT ..." / "Set up Codex with ChatGPT" / "用 ChatGPT 规划", when they ask to connect ChatGPT to the current workspace, disconnect it, or run a task through the ChatGPT planning loop.

Overview

PublisherXiaoDuoYa
Repositorycodex-with-chatgpt
Skill namecodex-with-chatgpt
Stars
5.2K
Forks
508
Bundled files
Instructions only
LicenseMIT
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by XiaoDuoYa on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/XiaoDuoYa/codex-with-chatgpt.git /tmp/codex-with-chatgpt
mkdir -p .claude/skills
cp -r /tmp/codex-with-chatgpt/skill .claude/skills/codex-with-chatgpt
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Codex With Chatgpt 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 Codex With Chatgpt 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 Codex With Chatgpt 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.

Codex with ChatGPT

ChatGPT thinks. Codex works.

You (Codex) own execution: editing, shell, git, tests, recovery. ChatGPT owns high-level reasoning: understanding, planning, review, debug strategy. The C2C Bridge gives ChatGPT read-only MCP access to the current workspace, so control messages between you and ChatGPT stay tiny (< 1 KB) — ChatGPT pulls whatever data it needs by itself.

Golden rules

  1. NEVER paste file contents, diffs, or logs into ChatGPT. ChatGPT reads them through MCP.
  2. NEVER show the user technical internals (MCP, OAuth, PKCE, tunnel, ports, localhost). Speak in terms of "连接 ChatGPT / 安全连接 / 配对". The only exception is the guided manual ChatGPT setup below: expose only the exact settings field labels/values the user must enter, without explaining internals.
  3. The pairing code is the ONLY credential you may ever type into a browser. Never touch OAuth tokens, cookies, or session storage.
  4. If something fails, run c2c doctor and repair silently. Only involve the user for logins, CAPTCHA, 2FA, explicit consent screens, or guided manual ChatGPT setup below — and then give them ONE action. Before the first ChatGPT connection on this machine, c2c prefs --json:
    • setupMode missing: tell the user exactly setupChoicePrompt, wait for 「1」or「2」, then c2c prefs set --setup-mode auto|manual --json. Do not start ChatGPT configuration until they answer. Do not guess.
    • setupMode is manual: skip automatic ChatGPT settings. Use guided manual from the start (chosen, not a failure).
    • setupMode is auto: automatic browser setup. Two explicit failures of the same configuration step after repair then enter guided manual. A browser/js timeout, a page still loading/generating, or waiting for user login/2FA does NOT count as a failure. Do not change the saved setupMode when falling back. developerModeEnabled: true means skip #settings/Security until a connector create fails because developer mode is required. Then open that page, enable it, and c2c prefs set --developer-mode --json. These prefs are for this machine, not per workspace. Do not ask again on reconnect or a second repo. A new computer (empty prefs) asks/checks once.
  5. ALWAYS use the built-in in-app browser (iab) for every ChatGPT step. Follow In-app browser (ChatGPT) below. NEVER Computer Use (no screenshot-click). NEVER launch or control a third-party/external browser (Chrome, Safari, Edge…), and never use open <url> to hand off to one.
    • The ONLY exception: the user explicitly says the Cloudflare login must use their own browser session — that single Cloudflare login step may go through their browser; everything else stays in the built-in browser.
    • If the user asks to run ChatGPT in their own browser, refuse politely and explain: "Codex 需要持续调用 ChatGPT 和配置连接,这会频繁操作页面,可能影响 你浏览器的正常使用。ChatGPT 只能跑在内置浏览器里。" Only if the user replies with an explicit "我愿意承担影响" may you proceed in their browser; otherwise keep ChatGPT in the built-in browser, every time they ask.
  6. Conversation reuse depends on c2c session --jsonconversation.mode (see Conversation management). Do not invent a second mode.
    • long-chat (legacy session file, or the user opted out): ONE ChatGPT conversation per workspace. Never silently start a new chat.
    • project (new workspaces, or an existing workspace that opted in): ONE ChatGPT Project (collection) per workspace. Same Codex conversation reuses the ChatGPT chat URL saved in THIS thread. A new Codex conversation opens a new chat from the Project collection page — never goto https://chatgpt.com/ to create it, and never reuse another Codex conversation's chat URL just because session.url exists. Each workspace also has exactly ONE ChatGPT connector. Do not create a second connector for the same workspace. Other workspaces may have their own connectors — never edit those.
  7. After first-time setup, never ask the user to approve writing C2C's local settings directory. Run c2c sandbox-allow --json (idempotent). If it fails with EPERM / Operation not permitted, request elevated permissions and retry ONCE. After { "alreadyAllowed": true } or { "added": true }, stay silent.
  8. ChatGPT pages: only the URLs in In-app browser (ChatGPT). Never start from chatgpt.com and click through menus.
  9. Doctor gate. After c2c doctor --json, do not goto ChatGPT and do not send [C2C] until local is green — except the reconnect settings pages when chatgptRepair.needed is true. Not green:
    • report.bridge.ok is not true
    • report.mcp.ok is not true (unauthenticated local /mcp must be 401)
    • sandbox / state-dir write failed (EPERM)
    • this workspace used to have a public URL and the tunnel is down
    • chatgptRepair.needed is true (fix the connector first, then doctor again)
    • namedRepair.needed is true (user must log in to Cloudflare, then doctor again. Do not Delete the ChatGPT connector — the address did not change)
    • report.bridge says 状态无法确认: the local bridge may still be running. Do not c2c start, do not Delete the connector, do not treat it as chatgptRepair. Wait and run doctor again. If doctor is already green and chatgptRepair.needed is false, do not c2c restart, do not start a second tunnel, and do not Delete the connector. ChatGPT/IAB-only errors are not permission to churn the public address. A ChatGPT-side 401 after a sent message is different: repair then, do not treat it as permission to skip this gate next time.

In-app browser (ChatGPT)

Official skill: control-in-app-browser. These C2C rules override defaults that close the tab, hide the window, or stall on the settings page.

  1. Surface. Once per Codex session: setupBrowserRuntime(), then const iab = await agent.browsers.get("iab"). Reuse iab. Do not re-read documentation() if it is already bound. Never getDefault(), getForUrl(), or Computer Use.

  2. One tab. Create the ChatGPT tab once (tabs.new()). After that, only tab.goto(...) to switch URLs. If the tab still exists, claim it — never open a second ChatGPT tab. Do not goto the URL you are already on.

  3. Foreground + keep (standby). Right after opening or claiming the tab:

    • await (await iab.capabilities.get("visibility")).set(true) — first-time setup and ChatGPT chatting stay in front of the user so they can watch.
    • await tab.markHandoff() immediately, then again at the start and end of every turn. After setup succeeds or the C2C chat is open, also await tab.markDeliverable(). Never close this tab. Finished, waiting for the user, or timed out: leave it marked (standby). Do not let default turn cleanup close it.
  4. URLs only (same tab, goto — never hunt menus):

    • 开发人员模式: https://chatgpt.com/#settings/Security (skip when c2c prefs --json has developerModeEnabled: true)
    • 插件总管: https://chatgpt.com/plugins
    • 加插件: https://chatgpt.com/plugins#settings/Connectors?create-connector=true&redirectAfter=%2Fplugins
    • 新对话 (long-chat only, and only if no saved chat): https://chatgpt.com/
    • Saved C2C chat: conversation.chatUrl / session.url (long-chat, or the chat already bound in THIS Codex conversation)
    • Saved Project collection: conversation.projectUrl (https://chatgpt.com/g/g-p-…/project) Never click Reconnect / Refresh on an existing connector. The old address is dead and that page hangs on "This site cannot be reached". When the address changed: Delete THIS workspace's connectorName only, then create it again via the 加插件 URL (same name, new Server URL). Do not put that public address into Project instructions — write the connector name only.
  5. Do not wait for 8 tools on the settings page. "Connected" / authorize success / pairing accepted is enough. Confirm tools in the conversation with workspace_info.

  6. Batch. Fill a known form in one Playwright / js script when you can. After an action, one cheap DOM check. Do not screenshot-poll.

  7. One conversation, Chat mode. The first ChatGPT chat is the C2C conversation. Chat and Work (聊天 / 工作) are separate: a Work conversation cannot become Chat. On every NEW conversation, if a Chat/Work switcher is visible (often top-left), confirm Chat is selected before the boot prompt. If it is Work, do not continue there — Switch to a new Chat conversation (HANDOFF). If no switcher is visible, do not hunt menus; continue. Send the boot prompt and the workspace_info check in that Chat conversation. Confirm the reply names the current workspace before saving or replacing the session URL. If validation fails, keep the old saved URL. Do not open a throwaway verify chat and later another C2C chat.

    A collection or chat page that shows only Retry / 重试 is a navigation error, not generation and not a pairing failure. Reuse the same iab tab. Try Retry once. If it stays Retry-only, goto the last working chat URL from this thread (or session.url if that is the only saved chat), then click the on-page Open … project / 打开“… ”项目 link — that same-site hop is allowed. Do not treat the URLs-only rule as forbidding this link. On the collection, require the project chat list and new-chat composer before continuing. Keep the old saved URL/checkpoint until the replacement chat passes workspace_info. Do not session clear. Do not use Computer Use.

  8. Wait for a ChatGPT reply (do not hold one long browser wait). After you send INIT, EXECUTED, boot, or the workspace_info check: markHandoff, keep the tab foreground, and stay in this same task. Do not waitFor 5 minutes and do not screenshot-poll. Every 20–30 seconds, one cheap DOM check:

    • still generating → wait again (do not type, do not resend);
    • STATE: PLAN / DONE / BLOCKED / the verify workspace name → read it and continue the existing protocol;
    • visible error → repair; do not start a new chat. A browser/js timeout is not failure. Claim the same tab, read the page, keep standby. If ChatGPT is still thinking, keep polling. Never open a second tab and never resend INIT/EXECUTED just because a wait timed out.

Locations

  • The codex-with-chatgpt checkout lives at: <ACTUAL_CHECKOUT_PATH> (installer/update MUST replace this line in the installed Skill with the user's actual checkout path.)
  • CLI: let <checkout> mean the path on the previous line; run node "<checkout>/bin/c2c.js" <command> (or c2c <command> if globally linked). All commands support --json for parsing.
  • If the checkout has no node_modules or no dist/, first run corepack pnpm install && corepack pnpm build inside it.
  • For commands that act on the user's project (setup, doctor, session, restart, start, stop, status, pair, unpair, logs, workspace, record, tunnel status, tunnel choose), pass -w <workspace root> (the project the user is working on, NOT the c2c repo).
  • Do not add -w to machine-wide commands: update-check, sandbox-allow, prefs, tunnel login. They still accept and ignore -w, so a leftover flag must not fail the command.

Daily update check

At the START of every workflow below (before anything else), run these two commands (both are cheap / cached; never mention them unless an update exists):

  1. c2c update-check --json (do not pass -w)
  2. c2c sandbox-allow --json (do not pass -w) — writes the C2C state directory into Codex's sandbox writable_roots (macOS: ~/Library/Application Support/codex-with-chatgpt; Windows: %LOCALAPPDATA%\codex-with-chatgpt; config file is ~/.codex/config.toml on both, or %USERPROFILE%\.codex\config.toml on Windows). If already allowlisted, this is a no-op and does not trigger elevation.
  • { "updateAvailable": false } → continue silently. Never mention the check.
  • { "updateAvailable": true } → tell the user one line: "检测到 Codex with ChatGPT 有新版本,我先更新一下(约 1 分钟),随后继续你的任务。" Then run the update workflow below, and CONTINUE the original task afterwards.

Workflow: update("更新 Codex with ChatGPT",or triggered by the daily check)

Inside the checkout directory (see Locations):

  1. git pull --ff-only (if it fails due to local edits: git stash && git pull --ff-only).
  2. corepack pnpm install && corepack pnpm build.
  3. Re-install the Skill: copy skill/SKILL.md to ~/.codex/skills/codex-with-chatgpt/SKILL.md, then fix the "checkout lives at:" line in the copy to the actual checkout path.
  4. c2c sandbox-allow --json (so existing installs pick up the sandbox allowlist), then c2c restart -w <workspace> so the bridge runs the new code, then c2c update-check --force --json to refresh the cache (should now report up to date).
  5. Tell the user "✓ 已更新到最新版本" — then resume whatever task triggered this. (The updated SKILL.md takes effect from the next Codex session; that's expected.)

Connection choice (once per workspace)

Ask this before the public address exists (c2c setup / first doctor --fix that starts a tunnel). Do not mention tunnels, wrangler, DNS, or hostnames. Speak only of 临时地址 / 固定域名 / 登录 Cloudflare.

  1. c2c tunnel status -w <workspace> --json
  2. If needsChoice is false: do not ask again.
  3. If needsChoice is true: tell the user exactly userPrompt and wait.
    • 没有账号 / 没有域名 / 临时 / 不用 → c2c tunnel choose -w <ws> --mode quick --json
    • 有域名(例如 example.com)→ first tell them loginPrompt, then c2c tunnel choose -w <ws> --mode named --zone <domain> --json. This may open the user's own browser (the Cloudflare exception in Golden rule 5). Wait until the command finishes. If they said they have an account but gave no domain: ask once for the domain. If the command returns need: "zone", ask once and retry. If fallback is true: tell them userMessage and continue on the temporary address. Do not retry named unless they ask.
  4. Never put connection credentials in the project. The CLI stores them in the C2C state directory.

Workflow: first-time setup("使用 Codex with ChatGPT 完成首次配置")

  1. Detect prerequisites yourself: node --version (>= 20), and check cloudflared.
    • If cloudflared is missing on macOS run brew install cloudflared; on Windows use winget install Cloudflare.cloudflared. Do this yourself; don't ask.
  2. If the c2c repo has no node_modules, run pnpm install && pnpm build in it.
  3. Run c2c sandbox-allow --json, then Connection choice, then c2c setup -w <workspace> --json. sandbox-allow edits Codex config.toml only — it adds C2C's state directory to [sandbox_workspace_write].writable_roots so later chats can write logs without elevation. If the write is denied, request approval and retry once. → returns { mcpUrl, pairingCode, workspaceName, connectorName, ... }. connectorName is this workspace's plugin title (legacy installs stay Codex with ChatGPT; additional workspaces get Codex with ChatGPT · <name>). Pairing codes expire in ~5 minutes. Do not mint one until the ChatGPT Authorize / pairing form is on screen: run c2c pair --json then type that code immediately. Doctor does not pre-mint a code.
  4. c2c prefs --json (this machine, not this workspace).
    • If setupMode is null: tell the user exactly setupChoicePrompt. Wait for「1」or「2」. Then c2c prefs set --setup-mode auto or --setup-mode manual. Do not open ChatGPT settings and do not start automatic configuration until they answer. Do not default to auto.
    • If they later ask to switch: same c2c prefs set --setup-mode command. Do not re-ask on a later workspace or on reconnect.
    • setupMode: "manual": skip step 5's automatic ChatGPT settings. Go to Guided manual ChatGPT setup (chosen). Opening line: 接下来用手动教学配置。一次只需要做一个操作。 Do not say 自动配置没有成功.
    • setupMode: "auto": continue with step 5. Keep the two-failure fallback.
  5. Open ChatGPT on the ONE iab tab (see In-app browser). Foreground + markHandoff immediately. Same tab, goto only:
    • 开发人员模式: skip https://chatgpt.com/#settings/Security when developerModeEnabled is true. Otherwise open it, enable 开发人员模式 ("Developer mode") if it is off, then c2c prefs set --developer-mode. Never record it as off. If creating the connector later says developer mode is required, open this page, enable it, save --developer-mode, and retry create — do not skip that recovery.
    • 已有该 connectorName: https://chatgpt.com/plugins — Delete it (never Reconnect). Then goto the 加插件 URL below.
    • 还没有 / 刚删掉: https://chatgpt.com/plugins#settings/Connectors?create-connector=true&redirectAfter=%2Fplugins Operate ONLY on connectorName from step 3:
      • If that exact name exists: Delete it, then create it again. Never Reconnect, never edit-in-place, never open the old Server URL.
      • If it does not exist: create one with that exact name.
      • Never rename, delete, or edit a connector that belongs to another workspace.
      • Description: Securely connect ChatGPT to the current Codex workspace for planning and review.
      • Server URL: the mcpUrl from step 3
      • Authentication: OAuth Fill the known form in one script when you can. Then Connect / Authorize. Only then run c2c pair --json and type that code. As soon as it shows Connected / authorized / pairing accepted, continue — do NOT wait for 8 tools on this page.
  6. Same tab: open the first C2C chat per Conversation management (Project collection for a new workspace; https://chatgpt.com/ only in long-chat). Confirm Chat mode per In-app browser §7 (if it is Work, open a new Chat conversation instead). Send the boot prompt from docs/protocol.md §Boot Prompt, then (same chat) send: Use the "<connectorName>" connector: call workspace_info and read hello-style top-level file. Reply with the workspace name. Confirm the reply matches workspaceName (wait per In-app browser §8). Only then save the chat URL with c2c session set (see Conversation management). If the name does not match, do not save. markDeliverable.
  7. Report to the user exactly in this shape (no internals):
Codex with ChatGPT

✓ 当前项目已识别
✓ Workspace Bridge 已启动
✓ 安全连接已建立
✓ ChatGPT 已连接
✓ 文件读取测试通过

Ready.

If a login wall appears (ChatGPT, Cloudflare): stop, tell the user the ONE thing to do ("请登录 ChatGPT,完成后告诉我'好了'"), then continue.

Guided manual ChatGPT setup

Enter this path when setupMode is manual (chosen at the start), or when automatic ChatGPT browser configuration fails twice at the same explicit setup/reconnect step after c2c doctor / repair. Do NOT enter the failure path for a browser/js timeout without a visible error, a page that is still loading/generating, or while waiting for login / 2FA / CAPTCHA. A chosen manual path does not wait for those two failures.

Stop automating ChatGPT settings. Keep the current local C2C state and the current mcpUrl, pairingCode, workspaceName, and connectorName. Do not silently fall back to Codex-only execution and do not permanently disable C2C. Do not change the saved setupMode when this is a failure fallback.

Opening line:

  • Chosen (setupMode: "manual"): 接下来用手动教学配置。一次只需要做一个操作。
  • Failure fallback: 自动配置没有成功,我来带你手动完成。一次只需要做一个操作。

Then guide ONE action at a time, waiting for the user to say「好了」before the next action:

  1. If developerModeEnabled is not true: ask them to open https://chatgpt.com/#settings/Security and enable 开发人员模式. After they say「好了」, c2c prefs set --developer-mode. If it is already remembered, skip this step.
  2. Ask them to open https://chatgpt.com/plugins. If the exact connectorName exists, delete only that connector. Never ask them to touch another workspace's connector.
  3. Ask them to open https://chatgpt.com/plugins#settings/Connectors?create-connector=true&redirectAfter=%2Fplugins and create the exact connectorName with:
    • Description: Securely connect ChatGPT to the current Codex workspace for planning and review.
    • Server URL: the current mcpUrl
    • Authentication: OAuth
  4. Ask them to Connect / Authorize. Then run c2c pair --json and give them only that pairing code. If it expires before they finish, run pair again.
  5. When they report Connected / authorized / pairing accepted, resume the normal setup/reconnect flow at its ChatGPT verification step. If automatic browser verification then hits the same explicit failure twice, stop and report the exact failed step; do not loop indefinitely and do not continue without C2C.

Conversation management

c2c session -w <ws> --json{ session, conversation }. conversation.mode is the only switch. Missing / legacy files with a chat URL and no Project stay long-chat. Do not ask those users to migrate. If they later say they want a Project, run Bind Project. A brand-new workspace (no session file) is project.

Never match a Project or a chat by display name. Never upload the repo to Project sources. Never click 分享 / Share. Do not rename ChatGPT chats.

long-chat (do not rewrite this path)

ONE ChatGPT conversation per workspace. Same as before.

  • Find it: if conversation.reuseSavedChat and conversation.chatUrl, goto that URL (foreground + markHandoff) and continue there.
  • Save it: after boot + workspace_info, and the reply names this workspace, c2c session set -w <ws> --mode long-chat --url <url> --title "C2C <workspace name>". If the name does not match, do not overwrite a previously saved URL.
  • Update it: after each EXECUTED/DONE, c2c session set -w <ws> --task <id> --iteration <n> --state <STATE> plus checkpoint flags from the coding workflow (--protocol-state, --waiting-for, --goal, --next-step, --known-issues, or --clear-checkpoint on DONE). Do not put logs or diffs in those fields.
  • Switch it ONLY when (a) the user asks for a new chat, (b) the current chat visibly lags, or (c) this conversation is Work. Then:
    1. Same iab tab: goto https://chatgpt.com/, confirm Chat mode (In-app browser §7), then send the boot prompt.
    2. Send a HANDOFF (docs/protocol.md) — goal, progress, state, issues, next step. Never paste files.
    3. workspace_info check; only then c2c session set --url. On failure, leave the old saved URL unchanged.
  • Saved chat 404s: treat as a switch. Reconstruct HANDOFF from session.checkpoint (goal, progress, issues, next step). If there is no checkpoint, use task / iteration / lastState and execution_summary metadata only. Never paste logs or output bodies.

project (new workspaces)

One ChatGPT Project per workspace. Mapping:

  1. Same Codex conversation (this thread still has context) → same ChatGPT chat URL. goto that URL directly. Do not open the collection first.
  2. Same workspace, a new Codex conversation → new ChatGPT chat from the collection page (conversation.projectUrl). Ignore session.url unless you already saved it earlier in THIS Codex thread.
  3. Different workspace → different Project and different connector.

Open a chat in this Codex thread

  • If you already saved a ChatGPT chat URL earlier in THIS Codex conversation: goto that URL. Continue. No new chat. No HANDOFF.
  • Else if conversation.projectReady: goto conversation.projectUrl. On that page, use the on-page composer (「{项目名}中的新聊天」 / "New chat in …"). Do not use the sidebar and do not goto https://chatgpt.com/. Confirm Chat mode (In-app browser §7). Boot prompt, then workspace_info with the exact connectorName. After the reply names this workspace, c2c session set -w <ws> --mode project --project-url <collection> --url <chat> --connector-name "<connectorName>" --title "C2C <workspace name>". If this Codex thread is continuing a previous C2C task, send HANDOFF right after the boot prompt.
  • Else: Bind Project first.

Update it: same c2c session set --task / --iteration / --state as long-chat.

Wrong collection: do not guess another Project. Tell the user the expected workspace name, ask them to open the right collection, then say「已找到」. Also offer「继续用长对话」. If they pick long-chat: c2c session set -w <ws> --mode long-chat and use the long-chat path. If the collection 404s or the new chat is not inside the Project, same choice.

Saved chat 404s (this thread): goto the collection, open a new chat there, boot + HANDOFF from session.checkpoint (no logs) + workspace_info, then save the new chat URL. Keep --project-url.

Bind Project (user creates the collection once)

Do this for a new workspace, or when an existing user asks to switch to Project. Do not click the ChatGPT sidebar to create the Project (Computer Use is forbidden; IAB must not hunt that menu).

  1. Tell the user exactly this (fill in the workspace name):
请在 ChatGPT 里新建一个项目,名字用「<workspaceName>」,记忆请选「仅限项目记忆」。

如果侧栏里看不到「项目」:把鼠标放在「聊天」上,点右边出现的三个点,选择「按项目整理」。

建好后会打开合集页面。看到页面后跟我说「好了」。
  1. Wait for「好了」/ the collection page. Same iab tab: read the address bar. It must look like https://chatgpt.com/g/g-p-…/project. If it does not, ask them to open that project until it does. Then: c2c session set -w <ws> --mode project --project-url <url> --connector-name "<connectorName>".

  2. On that same collection page only, open 右上角 … → 项目设置. Do not click 分享. Do not add 来源 / files.

    • 记忆: 仅限项目记忆 (project-only). Leave 库访问权限 disabled.
    • 指令: paste Project instructions below (fill {{…}} from workspace_info / setup). Use the exact connectorName from setup. Never write the public / temporary address into 指令. Save and close settings.
  3. Still on the collection page, create the first chat with the on-page composer, then boot + workspace_info as in setup step 5. Save the chat URL.

Project instructions (paste into 项目设置 → 指令)

You are the planning and review layer for one local workspace. Codex executes.

This Project is bound only to:
- Workspace name: {{workspace_name}}
- Kind: {{project_type}} ({{languages}} / {{frameworks}})
- Connector (use this one only): {{connector_name}}

When you call tools, use ONLY that connector. Do not use any other
Codex with ChatGPT connector. If workspace_info names a different
workspace, stop. Do not plan. Do not use this Project's memory.

Read code, git, diffs, and any released command output through that
connector. Never ask anyone to paste file bodies, diffs, or logs. After
EXECUTED, call execution_output (list, then read) when a readable item
exists; if status is restricted, review from git instead. Never upload
the repo into this Project's files or sources.

When facts conflict, trust this order:
1. Current code from the connector
2. A HANDOFF in this chat (this task's goal, progress, next step)
3. These instructions
4. This Project's memory (durable architecture only; stale memory loses)

This Project's memory is only for this workspace. On HANDOFF, trust the
brief, re-read code through the connector, and resume at NEXT_EXPECTED_STEP.

Be substantive: why, which file, what to test. No empty one-liners and
no 40-step epics. Use C2C control messages.

Workflow: coding task("使用 Codex with ChatGPT 完成 XXX")

Protocol states sent to ChatGPT: INIT → PLAN → EXECUTING → EXECUTED → REVIEW → (PLAN | DONE | BLOCKED). Local checkpoint states (session only, never a ChatGPT STATE: line): INIT, PLAN_RECEIVED, EXECUTING, EXECUTED_LOCAL, EXECUTED_SENT, DONE, BLOCKED. Do not invent STATE: RESUME. If the original chat is gone, send HANDOFF. All control messages start with [C2C]. Keep Codex→ChatGPT messages under 1 KB. ChatGPT's replies are expected to be substantive (see step 3). Docs: docs/protocol.md.

  1. c2c tunnel status -w <workspace> --json. If needsChoice, follow Connection choice first (existing installs: ask once, then remember). Then c2c doctor -w <workspace> --json (auto-repairs). Doctor gate: if local is not green, do not open ChatGPT and do not send INIT. If namedRepair.needed is true, tell the user namedRepair.userMessage, run c2c tunnel login --json (their browser; Cloudflare exception), then doctor again. If chatgptRepair.needed is true, tell the user chatgptRepair.userMessage (one paragraph, no internals), run Workflow: reconnect after address reclaim, then doctor again and only continue when the gate is green. Generate task id: c2c_ + 4 random hex chars — unless a checkpoint already has one (reuse that id; do not mint a second task).

  2. c2c session -w <workspace> --json. Open ChatGPT on the same iab tab per Conversation management for conversation.mode (foreground + markHandoff). long-chat: saved chat, or https://chatgpt.com/ if none. project: this thread's chat URL, or the collection page for a new chat, or Bind Project if projectReady is false. On a NEW conversation confirm Chat mode (In-app browser §7), then send the boot prompt from docs/protocol.md §Boot Prompt and the workspace_info check (name the exact connectorName). Confirm the reply names the current workspace before saving the session URL. Do not use the browser to re-read code MCP already provides. After sending a control message, wait per In-app browser §8.

    Resume from session.checkpoint before any INIT. Missing checkpoint (legacy session): continue as a normal new/continued loop. A browser/js timeout is not a lost task — claim the original tab; do not INIT, re-run, or resend EXECUTED just because a wait timed out.

    • EXECUTED_SENT + waitingFor=GPT_REVIEW: do not INIT, do not re-run, do not resend EXECUTED. Stay on the saved chat and wait for review. If that chat 404s: HANDOFF from checkpoint fields (no logs), then wait.
    • EXECUTED_LOCAL: local work is done; only send EXECUTED (record first if this iteration has no record yet). Do not re-run.
    • EXECUTING: not finished. Continue the current PLAN if you still have it; otherwise HANDOFF and ask ChatGPT to restate the last PLAN. Do not treat it as done and do not INIT a new task.
    • PLAN_RECEIVED: execute that plan. Do not INIT.
    • INIT / waitingFor=GPT_PLAN: claim the tab and wait. Do not resend INIT.
    • DONE: summarize to the user if needed; c2c session set --clear-checkpoint.
    • BLOCKED: surface ChatGPT's reason; do not INIT. Never re-pair, never recreate the connector, and never rewrite Project instructions just to resume.
  3. Send INIT with the user's goal (skip when the checkpoint says not to):

[C2C]
STATE: INIT
TASK_ID: c2c_f81a
ITERATION: 0

GOAL:
<user's goal, one paragraph>

INSTRUCTION:
Inspect the connected workspace through the Codex with ChatGPT MCP connector.
Produce a C2C PLAN message.

Confirm the INIT message is visibly in that ChatGPT conversation (one cheap DOM check). If the page is Retry-only, recover per In-app browser §7 first. Do not write the waiting checkpoint, and do not wait for PLAN, until that message is visible. Then: c2c session set -w <ws> --task <id> --iteration 0 --state INIT --protocol-state INIT --waiting-for GPT_PLAN --goal "<short goal>" --next-step "wait for PLAN" 3. Wait for ChatGPT's STATE: PLAN reply (In-app browser §8 — short DOM checks, same tab; do not treat a 5-minute browser timeout as failure). Read GOAL/ACTIONS/TESTS/SUCCESS_CRITERIA. A good PLAN also carries RATIONALE and concrete natural-language edit suggestions (which file, what to change, why). If the reply is a bare one-liner with no rationale or file-level guidance, ask once: "Please expand the plan with rationale and concrete per-file suggestions." Then: c2c session set -w <ws> --protocol-state PLAN_RECEIVED --waiting-for none --next-step "execute PLAN" 4. Execute the plan yourself with your own harness (your tools, your judgment; ChatGPT does not micro-manage tool calls). Before you start: c2c session set -w <ws> --protocol-state EXECUTING --waiting-for none --next-step "finish PLAN then record" 5. Record the execution so ChatGPT can read it via MCP. Metadata always: c2c record -w <ws> --task c2c_f81a --iteration 1 --changed-files "src/a.ts,src/b.ts" --tests "27 passed" --exit-status ok If this iteration ran a test / build / lint / typecheck command, also pass that command's output. Write stdout/stderr to a local temp file first, then: c2c record … --command "pnpm test" --output-file <temp> --exit-code <n> Record both success and failure. Do not record shell history, .env, keys, or unrelated dumps. Never paste that file (or any log) into ChatGPT. If the CLI says the output was not released, still send EXECUTED; ChatGPT reviews from git. Then: c2c session set -w <ws> --iteration 1 --state EXECUTED --protocol-state EXECUTED_LOCAL --waiting-for none --next-step "send EXECUTED" 6. Send EXECUTED (no diffs, no logs). Tell ChatGPT to use MCP, including execution_output when a readable item exists:

[C2C]
STATE: EXECUTED
TASK_ID: c2c_f81a
ITERATION: 1

RESULT:
Execution finished.

CHANGED_FILES:
4

TESTS:
27 passed

Please independently inspect the workspace and current git diff through MCP.
If execution_output lists a readable item for this iteration, list then read it.
If status is restricted, ignore it and review from git_diff.

Then: c2c session set -w <ws> --protocol-state EXECUTED_SENT --waiting-for GPT_REVIEW --next-step "wait for PLAN or DONE" 7. ChatGPT reviews via MCP (git_diff, read_file, test_status, execution_output) and replies DONE / PLAN (next iteration) / BLOCKED. 8. Loop. Respect maxIterations (.c2c.json, default 12). At the limit, pause and ask the user: "已完成 12 轮协作,仍有未解决问题,是否继续?" 9. On DONE: summarize the result to the user in plain language. c2c session set -w <ws> --state DONE --clear-checkpoint 10. On BLOCKED: read ChatGPT's reason, fix what you can, or surface the single decision the user must make. c2c session set -w <ws> --protocol-state BLOCKED --waiting-for USER --known-issues "<short reason>"

Workflow: disconnect("断开 ChatGPT")

  1. c2c unpair -w <workspace> (revokes all tokens immediately).
  2. Optionally remove the connector on the same iab tab via https://chatgpt.com/plugins (foreground + markHandoff). Only touch this workspace's connectorName.
  3. Tell the user: "已断开 ChatGPT 对该项目的访问。"

Workflow: reconnect after address reclaim(全关掉以后地址失效)

This is the normal case when the user quit Codex / the terminal / the machine: the previous public address is gone. Doctor already started a new one. connectorAction: "update" means Delete + create again — not Reconnect.

c2c doctor --json will look like: { "chatgptRepair": { "needed": true, "connectorAction": "update", "connectorName": "...", "userMessage": "...", "mcpUrl": "...", "pages": { ... } } }

  1. Tell the user exactly chatgptRepair.userMessage. Then you repair. Do not ask them to click around ChatGPT unless a login wall appears. Do not open the C2C chat and do not send [C2C] until this repair finishes and a follow-up doctor is green. Never "try a message first to see if it works". Reuse c2c prefs --json. Do not re-ask setup mode. If setupMode is manual, use Guided manual ChatGPT setup (chosen) instead of automating.
  2. Same one iab tab as setup (foreground + markHandoff). Settings URLs only until Connected — never hunt menus:
    • 开发人员模式: skip https://chatgpt.com/#settings/Security when developerModeEnabled is true. If create/delete then says developer mode is required, open it, enable, c2c prefs set --developer-mode.
    • 插件总管(只用来 Delete): https://chatgpt.com/plugins
    • 加插件(Delete 之后必走): https://chatgpt.com/plugins#settings/Connectors?create-connector=true&redirectAfter=%2Fplugins
  3. Operate ONLY on chatgptRepair.connectorName. Never touch another workspace's connector.
    • If that exact name exists on the plugins hub: Delete it. Confirm the delete if ChatGPT asks. Never click Reconnect, Refresh, Connect, or Edit on the old card — the old Server URL is dead and the page will hang on "This site cannot be reached".
    • Then goto the 加插件 URL and create that same connectorName (do not invent a second name):
      • Description: Securely connect ChatGPT to the current Codex workspace for planning and review.
      • Server URL: chatgptRepair.mcpUrl
      • Authentication: OAuth Then Connect / Authorize. Only then run c2c pair --json and type that code. Continue as soon as it is Connected — do not wait for 8 tools on the settings page.
    • If the name is already gone, skip Delete and only create.
  4. c2c doctor --json again. Same tab: only after the Doctor gate is green, reopen the chat this Codex thread was already using (session.url / the URL you saved earlier in THIS thread). Do not rewrite Project instructions — they store the connector name, which did not change. In that same chat, send the workspace_info check from setup step 6 (exact connectorName). Doctor green is not enough: the old conversation may still be bound to the deleted connector.
    • If the reply names this workspace: continue there. Save the URL if needed.
    • If workspace_info fails, times out, or cannot read the name: do not keep retrying that old URL. project → collection page, new chat in this Project, boot + HANDOFF from session.checkpoint (no logs) + workspace_info, then c2c session set --url only after the name matches. long-chat → Conversation management switch, same checks. Keep the old saved URL until the new chat passes.
  5. If the ChatGPT conversation was lost: same as the failure path in step 4. No file re-uploading (the workspace lives in MCP). If tools point at the wrong connector, open 项目设置 and confirm 指令 still names connectorName (never paste the new public address).

Workflow: repair(anything looks broken)

  1. c2c doctor -w <workspace> --json. Doctor gate: do not open ChatGPT / send [C2C] until local is green, except reconnect settings pages.
  2. If namedRepair.needed, tell the user namedRepair.userMessage, run c2c tunnel login --json, then doctor again. Do not Delete the connector.
  3. If chatgptRepair.needed, follow reconnect after address reclaim, then doctor again.
  4. Otherwise apply the recovery map. Only involve the user for login / 2FA / CAPTCHA — one action.

Recovery map

SymptomAction
Bridge not runningc2c start (doctor does this automatically)
Tunnel dead / URL unreachable / 全关掉后连接失效c2c doctor → if namedRepair.needed, login to Cloudflare and doctor again (do not Delete). If chatgptRepair.needed, tell the user the message, then Delete THIS workspace's connector only (connectorName) and create it again. Never Reconnect. After recreate, re-check workspace_info in the saved chat; if it still fails, new chat in the same Project (or long-chat switch) + HANDOFF.
Collection page shows only RetrySame iab tab: Retry once, then open the last working chat and click its Project link. Do not write INIT/EXECUTED waiting checkpoints until the message is visible.
ChatGPT says tool call failed / 401token expired or revoked → re-pair (new pairing code + authorize)
Pairing code rejected/expiredc2c pair --json for a fresh code
Same explicit ChatGPT setup/reconnect browser configuration step fails twice after repairStop automating ChatGPT settings and use Guided manual ChatGPT setup fallback. Do not count browser/js timeout, loading/generating, or login/2FA waiting as failures.
Port conflicthandled automatically; never surface to the user
Every new chat “repairs” / cannot write the log or settings directoryc2c sandbox-allow --json (once). Do not ask the user.
cloudflared missinginstall it yourself (brew/winget), then retry
Sidebar has no「项目」Ask the user to hover「聊天」, click the …, choose「按项目整理」
Collection page is the wrong ProjectAsk the user to open the named collection and say「已找到」, or accept long-chat

Frequently asked questions

What does the Codex With Chatgpt AI skill do?

Use ChatGPT (web) as the planning and review brain for Codex coding sessions, while Codex keeps full execution ownership. Use when the user says "使用 Codex with ChatGPT ..." / "Set up Codex with ChatGPT" / "用 ChatGPT 规划", when they ask to connect ChatGPT to the current workspace, disconnect it, or run a task through the ChatGPT planning loop.

Why use Codex With Chatgpt on TypingMind?

Because you install it once and use it with any model. Codex With Chatgpt 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 Codex With Chatgpt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/XiaoDuoYa/codex-with-chatgpt/tree/main/skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Codex With Chatgpt?

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 Codex With Chatgpt?

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

Is the Codex With Chatgpt AI skill free?

Yes. It is published on GitHub by XiaoDuoYa 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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