openai/codex

At a glance

Rank

#288 of 401

#37 of 45 Rust repos

Checks passed

7 of 17

Full list below

Best set up for

Claude Code

Score 64.5

Needs most work for

Cursor

Biggest fix: Cursor rules (.cursor/rules) (+11.5 pts)

What to fix first

Showing fixes for Claude Code

1. 1
   AGENTS.md / CLAUDE.md

   Add an AGENTS.md covering project goals, layout, setup commands, and conventions. Aim for 800+ chars of real guidance (not boilerplate).
   +13.2 pts
2. 2
   Type configuration

   Add a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.
   +7.9 pts
3. 3
   Pre-commit / git hooks

   Set up pre-commit (.pre-commit-config.yaml), husky, or lefthook to run format+lint on every commit.
   +5.3 pts

Score for each AI agent

Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →

Does openai/codex have agent instructions?

An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.

AGENTS.md / CLAUDE.md

✗None at the root (no AGENTS.md, CLAUDE.md, AGENT.md, .claude/CLAUDE.md or .claude/AGENTS.md)

Agent-specific files

None: no GEMINI.md, .cursor/rules, .openhands/setup.sh, .aider.conf.yml or .agents/skills

Repos that have one

24 of 45 Rust repos · 221 of 401 repos on the leaderboard · See examples →

# AGENTS.md

Guidance for AI coding agents working in openai/codex. Lightweight coding agent that runs in your terminal. Written mainly in Rust.

## Where things are

- Dependencies are declared in `package.json`.
- Test files are spread through the tree, e.g. `.github/scripts/macos-signing/test_notarize_with_akv.py`.
- Lint and format rules are configured in `ruff.toml`.
- CI is defined in `.github/workflows`; read it for the exact install, lint and test steps.
- A reproducible environment is defined in `flake.nix`.
- Follow the conventions in `docs/contributing.md`.

## Commands

<!-- Fill in the exact commands CI runs. -->
- Install: TODO
- Test: TODO
- Lint: TODO

How openai/codex compares

vs leaderboard average

6.6 pts below

Average 66.8

vs Rust average

10.4 pts below

Average 70.6

Stars among Rust repos

#1 of 45

One fix for the most agents: AGENTS.md / CLAUDE.md would raise the score for all 9 agents, by up to 13.3 points.

Similar repos

Same language and host as this repo, closest in overall score.

• clap-rs/clap65.4
  Rust · 16.8k ★
• rust-lang/rustlings64.7
  Rust · 64.6k ★
• bevyengine/bevy60.9
  Rust · 49.5k ★
• rust-lang/cargo60.9
  Rust · 15.7k ★
• alacritty/alacritty59.2
  Rust · 66.1k ★
• tokio-rs/axum55.6
  Rust · 27.7k ★