mirror of
https://github.com/pchuan98/codex.git
synced 2026-07-01 00:31:56 +08:00
jif
7b3eb8e4bc
## Why PR #27387 makes backend plugin skills discoverable and invocable without an executor, but resources referenced by those skills still sit behind the generic MCP resource surface. The model needs a skills-owned API that preserves the provider authority and package boundary instead of treating remote resources like local files. This is stacked on #27387. ## What - Adds one `skills` namespace with bounded `list` and `read` tools for remote skill providers. - Revalidates `authority + package` against the live remote catalog on every read, then routes the opaque resource ID back through that provider. - Allows the backend provider to read canonical child `skill://` resources while rejecting cross-package, non-canonical, query, fragment, and traversal-shaped URIs. - Caps each serialized tool result at 8 KB. Lists are paginated; reads return an opaque continuation cursor. - Marks the JSON output as external context so memory generation can apply its normal suppression policy. - Deliberately does not add `skills.search`; that waits for a bounded plugin-service search contract. ## Tool contract Pseudo-Python matching the wire shape: ```python from typing import Literal, NotRequired, TypedDict class RemoteSkillAuthority(TypedDict): kind: Literal["remote"] id: str # e.g. "codex_apps" class RemoteSkill(TypedDict): authority: RemoteSkillAuthority package: str # opaque provider-owned package ID name: str description: str main_resource: str # opaque provider-owned SKILL.md ID class SkillsListParams(TypedDict): cursor: NotRequired[str] class SkillsListResult(TypedDict): skills: list[RemoteSkill] next_cursor: str | None warnings: list[str] truncated: bool class SkillsReadParams(TypedDict): authority: RemoteSkillAuthority # copied from skills.list package: str # copied from skills.list resource: str # provider-owned child resource ID cursor: NotRequired[str] # copy next_cursor to continue class SkillsReadResult(TypedDict): resource: str contents: str next_cursor: str | None truncated: bool class Skills: def list(self, params: SkillsListParams) -> SkillsListResult: ... def read(self, params: SkillsReadParams) -> SkillsReadResult: ... ``` There is one namespace for all remote skills, not one tool or MCP server per skill. No resource ID is converted into a filesystem path. ## Backend dependency `/ps/mcp` must support direct reads of child resources such as `skill://plugin_demo/deploy/references/deploy.md`. This PR implements and tests the Codex side of that contract; production child reads remain dependent on the corresponding plugin-service support. Search remains out of scope until that service exposes a bounded search/resource API. ## Validation - Added an app-server integration test covering `skills.list` followed by `skills.read` with no executor. - Ran `just fmt`. - Ran `just bazel-lock-update` and `just bazel-lock-check`. - Did not run Rust tests or Clippy locally, per request; CI will run them.
7b3eb8e4bc
·
2026-06-11 12:38:04 +02:00
7,340 Commits
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.