Delegate exploration, drafting, second-opinion review, and edge-case hunting to OpenAI Codex (GPT-5.x) as a sub-agent under Claude Code's supervision. Bundles the codex MCP server, a balanced-delegation skill, slash commands, and a SessionStart policy that keeps the workflow always-on.
Run a bounded Claude<->Codex cross-review (feedback loop) on a target, with a user-chosen round count, then deliver a verdict and surface any unresolved disagreement
Delegate a focused task to the Codex (GPT-5.x) sub-agent, then review its output before applying
Choose how work is split between Claude and the Codex sub-agent (solo | balanced | codex | max)
Show the current work-split mode and Codex sub-agent status
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Use OpenAI Codex (GPT-5.x) as a balanced sub-agent under Claude Code.
Claude is the supervisor and final decision-maker; Codex does the token-heavy grunt work (exploration, first drafts, second-opinion reviews) inside its own context, so that work runs on your OpenAI/ChatGPT quota instead of Anthropic tokens. Claude reviews Codex's output before anything is applied — quality is protected by review, and with two independent frontier models cross-checking, it often improves.
This repo is a Claude Code plugin marketplace with one plugin: claudex.
codex MCP server — auto-registered via the bundled .mcp.json (runs codex mcp-server).codex skill — the balanced-delegation workflow + safety rules (loaded on demand, costs no context until used)./claudex:delegate <task> — delegate one focused task to Codex, then review./claudex:cross-review <target> — bounded Claude↔Codex feedback loop with a user-chosen round count./claudex:mode — choose how work is split between Claude and Codex (solo | balanced | codex | max)./claudex:status — show the current work-split mode and Codex status (login, version, model, MCP link).curl -fsSL https://chatgpt.com/codex/install.sh | sh # install
codex login # or: codex login --device-auth
codex login status # verify
~/.codex/config.toml (the MCP server inherits these):
model = "gpt-5.5"
model_reasoning_effort = "xhigh"
# 1) Add this repo as a marketplace (GitHub repo, URL, or local path all work)
claude plugin marketplace add security-engineer/claudex
# 2) Install the plugin
claude plugin install claudex@claudex
# 3) Restart Claude Code so the MCP server, hook, skill, and commands load
Local development install (no GitHub needed):
claude plugin marketplace add /absolute/path/to/claudex
claude plugin install claudex@claudex
Verify:
claude plugin list
claude mcp list # codex should be ✔ Connected
# in a session: /mcp then /claudex:delegate hello then /claudex:cross-review <target>
Division of labor
The SessionStart policy nudges Claude to delegate, but delegation is not automatic — you control the split with /claudex:mode (set codex/max to push most work to Codex), and Codex earns its keep on token-heavy code work (exploration, first drafts, reviews) rather than small edits or harness/config tasks. Drive it directly with the commands below.
/claudex:delegate <task>Delegate a single focused task to Codex, then review the result before applying.
Flow: scope files → delegate (MCP or codex exec) → review critically → you (Claude) apply + test.
Examples
/claudex:delegate review the diff in src/auth/ and list edge cases/claudex:delegate draft a refactor of utils/date.py to remove duplication/claudex:delegate find the root cause of the failing test in tests/test_api.pyCodex runs read-only by default; it writes only when a patch is explicitly required. Never include secrets or huge dataset dirs in scope.
/claudex:cross-review <target> [rounds=N] [style=ab|independent|debate]Run a bounded Claude↔Codex feedback loop, then Claude delivers a verdict.
Arguments
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