## Why The skills extension needs to become the path that exposes local host skills without losing the behavior already owned by core skill loading. Host skill discovery is not just `$CODEX_HOME/skills`: it also includes config layers, bundled-skill settings, plugin roots, runtime extra roots, and the filesystem for the selected primary environment. Rather than making the extension reload host skills and risk drifting from that authoritative load, this PR bridges the already-loaded per-turn skills outcome into the extension. That lets the extension advertise host skills and inject explicit `$skill` prompts while preserving the same roots, disabled/hidden state, rendered paths, and environment-backed file reads that the legacy path uses. ## What Changed - Adds `HostLoadedSkills` in `core-skills` to wrap the turn's `SkillLoadOutcome` and read `SKILL.md` through the filesystem that loaded that skill. - Stores `HostLoadedSkills` in turn extension data for normal turns and review turns, so the skills extension can consume the loaded host catalog without reloading it. - Adds `HostSkillProvider` under `ext/skills/src/provider/host.rs`, mapping host-loaded skill metadata into the skills-extension catalog/read contract. - Registers the host provider by default from `codex_skills_extension::install()`. - Preserves host skill metadata such as dependencies, disabled state, hidden-from-prompt policy, and slash-normalized display paths. - Passes host-loaded skills through `SkillListQuery` and `SkillReadRequest` so explicit skill invocation reads only resources from the loaded host catalog. - Adds integration coverage for a real legacy `$CODEX_HOME/skills/.../SKILL.md` skill being listed and injected through the installed extension. ## Testing - Added `installed_extension_loads_host_skills_from_legacy_roots` in `ext/skills/tests/skills_extension.rs`. - `just test -p codex-skills-extension`
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.
