## Why #27198 made the extension-owned `codex_apps` MCP connection the hosted plugin runtime, but its `mcp/skill` resources still bypassed the skills extension. App-server could list and read those resources through generic MCP APIs, but a thread with no selected environment did not expose them in the model's skills catalog or load their `SKILL.md` through `$skill`. Hosted skills should stay remote while using the same typed catalog, source authority, deduplication, bounded contextual catalog, and selected-skill prompt injection as host and executor skills. They should not be downloaded or exposed as ambient filesystem paths. ## What changed - Add a session-scoped `McpResourceClient` over the replaceable MCP connection manager so resource list/read calls follow startup and refresh replacements. - Add a `BackendSkillProvider` that pages `codex_apps` resources, accepts bounded and validated `mcp/skill` entries, and reads a selected skill's `SKILL.md` through the same MCP connection. - Register the remote provider in app-server and include it in the skills catalog even when a thread has no selected capability roots or executor. - Contribute hosted skill metadata through the bounded `AvailableSkillsInstructions` developer-context path, exclude remote entries from per-turn catalog injection, and classify `<skills>` messages as contextual developer content so rollback can trim and rebuild them correctly. ## Testing - Extend the app-server MCP resource integration test with `environments: []` to exercise two-page discovery, filter a non-`mcp/skill` resource, verify the escaped developer catalog entry and user-role `<skill>` fragment containing the fetched `SKILL.md`, and preserve generic MCP resource reads. - Add core event-mapping coverage that classifies `<skills>` developer messages as contextual history.
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Run the following on Mac or Linux to install Codex CLI:
curl -fsSL https://chatgpt.com/codex/install.sh | sh
Run the following on Windows to install Codex CLI:
powershell -ExecutionPolicy ByPass -c "irm https://chatgpt.com/codex/install.ps1 | iex"
Codex CLI can also be installed via the following package managers:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
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
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
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.
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.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.
