fchen-oai 56554904ba [codex] Require complete main-agent skill reads (#27044)
## Summary
- require the main agent to read selected `SKILL.md` files completely,
continuing truncated or paginated reads through EOF
- require the main agent to personally read task-required instruction
references instead of delegating their interpretation
- clarify that progressive disclosure selects relevant files without
permitting partial reads
- preserve subagent use for task work when the selected skill allows it
- cover both absolute-path and aliased-root prompt variants

## Why
Partial reads can skip routing and verification requirements later in
skill instructions. Delegated summaries can also omit constraints the
main agent needs to follow. The existing "Read only enough" wording made
both behaviors appear acceptable.

## Impact
Agents should follow complete selected skill instructions while
continuing to avoid unrelated references, scripts, and assets. Subagents
remain available for task execution where permitted.

## Test plan
- `just test -p codex-core-skills` (101 passed)
- `just fmt`
- `git diff --check`
56554904ba · 2026-06-08 14:33:57 -07:00
7,233 Commits
2026-04-24 17:49:29 -07:00
2025-04-16 12:56:08 -04:00
2025-04-16 12:56:08 -04:00
2026-04-24 17:49:29 -07:00

Codex CLI is a coding agent from OpenAI that runs locally on your computer.

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If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
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Quickstart

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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:

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    • Apple Silicon/arm64: codex-aarch64-apple-darwin.tar.gz
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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.

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This repository is licensed under the Apache-2.0 License.

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