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Add Codex

OrganizationPopular
nanocoai
add-codex

Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via the selected gateway. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).

Overview

Publishernanocoai
Repositorynanoclaw
Skill nameadd-codex
Stars
30.9K
Forks
12.8K
Bundled files
4
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.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Add Codex 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.
    https://github.com/nanocoai/nanoclaw/tree/main/.claude/skills/add-codex
  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/nanocoai/nanoclaw.git /tmp/nanoclaw
mkdir -p .claude/skills
cp -r /tmp/nanoclaw/.claude/skills/add-codex .claude/skills/add-codex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Add Codex 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 Add Codex 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 Add Codex 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 agent provider

Shortcut: pnpm exec tsx setup/index.ts --step provider-auth codex performs this whole install (manifest-driven from the providers branch: files, barrels, CLI manifest entry, image rebuild) plus auth in one command. The steps below are the same operations, for agent-driven or manual application.

NanoClaw selects each group's agent backend from container_configs.provider (default claude). This skill installs the Codex provider: copy the payload from the providers branch, append one import to each of the three provider barrels, add the pinned Codex CLI to the container manifest (container/cli-tools.json), rebuild, then run the vault auth walk-through.

The provider runs codex app-server as a child process speaking JSON-RPC over stdio: native streaming, MCP tools, server-side conversation history (the continuation is a thread id, no on-disk transcript). Credentials are vault-only: The selected gateway serves a sentinel auth.json stub into the container and swaps the real ChatGPT token or API key on the wire — no key in .env, nothing readable in the container.

The mechanical steps under Install carry nc: directive fences: an agent reads the prose and applies them, and a parser can apply them deterministically from the same document. Every directive is idempotent, so the whole skill is safe to re-run; anything a parser can't apply falls back to the prose beside it.

Install

Pre-flight

Requires src/project-doc-compose.ts on trunk. If it is missing, stop and tell the operator to run /update-nanoclaw first.

Check whether the payload is already wired (a prior apply, or a trunk that still carries it). All of these present means installed — skip to Authenticate:

  • src/providers/codex.ts and src/providers/codex-agents-md.ts
  • container/agent-runner/src/providers/codex.ts and codex-app-server.ts
  • setup/providers/codex.ts and both provider-contracts/codex.ts declarations (host and container)
  • import './codex.js'; in the three provider barrels and both contract barrels
  • an @openai/codex entry in container/cli-tools.json

1. Fetch and copy the payload

Fetch the providers branch and copy the Codex payload into all three trees (additive — overwrite each file, never merge the branch). The host files are the provider contribution + the AGENTS.md spec (composition itself lives in trunk's src/project-doc-compose.ts) + their guards; the container files are the provider runtime (turn loop, JSON-RPC wrapper, native memory SessionStart hook, per-exchange archiver) + their guards; the setup file is the picker entry + vault auth walk-through; container/AGENTS.md is the runtime-contract base the composed AGENTS.md embeds.

nc
src/providers/codex.ts
src/providers/codex-agents-md.ts
src/providers/codex-registration.test.ts
src/providers/codex-host-contribution.test.ts
src/providers/codex-agents-md.test.ts
container/agent-runner/src/providers/codex.ts
container/agent-runner/src/providers/codex-app-server.ts
container/agent-runner/src/providers/exchange-archive.ts
container/agent-runner/src/providers/exchange-archive.test.ts
container/agent-runner/src/providers/codex-registration.test.ts
container/agent-runner/src/providers/codex.factory.test.ts
container/agent-runner/src/providers/codex.turns.test.ts
container/agent-runner/src/providers/codex-app-server.test.ts
container/agent-runner/src/providers/codex-contract-parity.test.ts
container/agent-runner/src/providers/codex.conformance.test.ts
container/agent-runner/src/providers/codex-cli-tools.test.ts
container/agent-runner/src/provider-contracts/codex.ts
setup/providers/codex-registration.test.ts
container/AGENTS.md

Use the selected gateway for authentication

Install the bundled Codex authentication hook alongside the registry payload. This keeps the same login choices while delegating custody to the selected gateway, and preserves the hook when a provider refresh copies registry files again. These two files are omitted from the registry copy so refresh stays idempotent. The setup screens and step sequence do not change.

nc
payload/src/provider-contracts/codex.ts -> src/provider-contracts/codex.ts
payload/setup/providers/codex.ts -> setup/providers/codex.ts
payload/setup/providers/codex.test.ts -> setup/providers/codex.test.ts

2. Wire the barrels

Append the self-registration import to each provider and contract barrel (skipped if already present).

nc
import './codex.js';
nc
import './codex.js';
nc
import './codex.js';
nc
import './codex.js';
nc
import './codex.js';

3. CLI manifest

The agent's global Node CLIs install from container/cli-tools.json (a json-merge seam), not hand-edited Dockerfile layers. Add Codex by appending one entry — idempotent on name, so a re-run is a no-op. @openai/codex has no native postinstall, so no onlyBuilt. The Dockerfile already installs every manifest entry via pinned pnpm install -g; no Dockerfile edit is needed.

nc
{ "name": "@openai/codex", "version": "0.162.1" }

The version (0.162.1) is the canonical pin — this SKILL.md is the source of truth.

4. Build

nc
pnpm run build
pnpm exec tsc -p container/agent-runner/tsconfig.json --noEmit
./container/build.sh

5. Validate

nc
pnpm exec tsx scripts/provider-contract-verifier.ts --required-declared codex

The registration tests import only the real barrels — they go red if a barrel line is missing, a barrel fails to evaluate, or the payload is broken.

Authenticate

nc
pnpm exec tsx setup/index.ts --step provider-auth codex

The same walk-through fresh installs get from the setup picker: ChatGPT subscription (browser login or device pairing) or an OpenAI API key, landed in the selected gateway’s vault. Idempotent — it short-circuits when a matching secret already exists. It finishes with the install check.

Use it

Per group:

bash
ncl groups config update --id <group-id> --provider codex
ncl groups restart --id <group-id>

Switching is an operator action — run it from the host. Every provider uses the same memory/ tree, so memory carries across automatically. Run /migrate-memory only when upgrading a group that still has legacy .seed.md, CLAUDE.local.md, or unindexed imported memory. See docs/provider-migration.md.

Default new groups to codex (optional)

New groups are created on the instance default (DEFAULT_AGENT_PROVIDER in .env, or claude when unset). Installing this skill wires codex in but does NOT change that default — "installed" is not "authenticated", so the default stays claude until you opt in explicitly.

After install, ask the operator before flipping it:

"Codex is installed. Default new agent groups to codex? Existing groups keep their current provider."

On yes — set it, then restart the host so it takes effect:

bash
pnpm exec tsx setup/index.ts --step set-env -- --key DEFAULT_AGENT_PROVIDER --value codex
launchctl kickstart -k gui/$(id -u)/com.nanoclaw   # macOS; Linux: systemctl --user restart nanoclaw

This affects only groups created afterward. Per-group ncl groups config update --provider still overrides the default in either direction. Creation itself stays provider-agnostic (no --provider flag — provider is a DB property stamped from the instance default at creation).

Troubleshooting

  • Container dies at boot, channel silent: grep 'Container exited non-zero' logs/nanoclaw.error.log — the stderrTail carries the reason (e.g. Unknown provider: codex. Registered: claude means the barrels aren't wired in the running build).
  • In-channel Error: spawn codex ENOENT on every message: the image predates the manifest entry — re-run ./container/build.sh.
  • Auth errors mid-conversation: the vault secret is missing or stale — re-run pnpm exec tsx setup/index.ts --step provider-auth codex (subscription re-login updates the vault copy).

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 Add Codex AI skill do?

Use Codex (OpenAI's codex app-server) as a full agent provider — planning, tool orchestration, MCP tools, server-side history, session resume — alongside or instead of Claude. ChatGPT subscription or OpenAI API key, vault-only via the selected gateway. Per-group via `ncl groups config update --provider codex`. Distinct from using OpenAI as an MCP tool (where Claude remains the planner).

Why use Add Codex on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nanocoai/nanoclaw/tree/main/.claude/skills/add-codex. 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 Add Codex?

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 Add Codex?

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

Is the Add Codex AI skill free?

Yes. It is published on GitHub by nanocoai 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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