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## Why Skill descriptions are used in model-visible lists: the default available-skills catalog that supports implicit selection, and the on-demand `skills.list` tool response used to discover orchestrator skills. A single overlong description should not consume a disproportionate share of either list. Enforcing the 1024-character limit while loading or migrating skills is the wrong boundary: it rejects otherwise-valid skills and discards metadata that non-model consumers and full skill reads may need. Skill metadata and `SKILL.md` content should remain intact; the cap belongs at model-visible list rendering boundaries. ## What changed - Preserve full `description` and `metadata.short-description` values when loading skills. - Preserve full external-agent command descriptions during `source-command-*` migration instead of skipping commands solely because their descriptions exceed 1024 characters. - Preserve full normalized orchestrator descriptions in the underlying skills catalog. - Cap each description at 1024 Unicode characters when rendering the default available-skills context in `codex-core-skills` and `codex-skills-extension`. - Apply the same cap when serializing descriptions in the model-visible `skills.list` response. - Render truncated descriptions as 1021 original characters plus `...`. - Leave explicit `$skill` injection, `skills.read`, underlying metadata, and on-disk `SKILL.md` files unchanged and full-fidelity. ## Implicit skill selection Codex injects a bounded catalog containing each implicitly allowed skill's name, description, and source locator, together with instructions to use a skill when the task clearly matches its description. The model makes that semantic choice; after selecting a skill, it reads the full `SKILL.md` from its filesystem or provider resource. Explicit `$skill` mentions remain a separate path that injects the full skill instructions. For orchestrator skills, `skills.list` provides bounded discovery metadata before `skills.read` returns the full selected resource. ## Test plan - `just test -p codex-core-skills` - `just test -p codex-skills-extension` - `just test -p codex-external-agent-migration` The focused regressions verify that overlong metadata is preserved at load and migration boundaries while default available-skills rendering and `skills.list` output produce the 1021-character prefix plus `...`.
64bdeed9f7
·
2026-06-19 12:47:53 -07:00
7,646 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.