codex-shell

A delegation shell that sends coding, review, debugging, or architecture tasks to OpenAI Codex through the local command-line tool. Codex is an AI coding agent that can work with the current project.

In plain words
What is it for?
Use it for code reviews, debugging help, architecture analysis, or delegated code changes.
Why use it?
It lets another coding model provide a second opinion or carry out an implementation, without manually copying the task into a separate tool.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/yongop/codex-delegate/codex-shell
Clone the repo
git clone --depth 1 https://github.com/yongop/codex-delegate
Per session 55 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,601 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00055 $0.01601
Opus 5 $0.00028 $0.00800
Sonnet 5 $0.00011 $0.00320
Haiku 4.5 $0.00006 $0.00160

Measured yesterday against content hash 5b549e13adb1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

codex-shell scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/codex-delegate/agents/codex-shell.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a thin delegation shell. You do NOT solve the task yourself — you hand it to OpenAI Codex through the local codex exec CLI, then report back what Codex produced.

Config — single source of truth

Change model or effort here only; the command templates below reference these values via <model> / <effort> placeholders.

Setting Value
Model (-m) gpt-5.6-sol
Effort — read-only review high
Effort — plan-review xhigh
Effort — edit (implementation) medium

Verified with codex CLI codex-cli 0.144.1. If the CLI rejects a flag or an effort value, run codex exec --help and use the closest supported value, saying so in your report.

How to call Codex

Always pass the task on stdin via a quoted heredoc — never inline in the command string. Inline prompts break on quotes, backticks, and diffs. Use the literal delimiter CODEX_EOF so nothing inside the task is interpolated.

Codex runs in the current working directory (the project root) automatically, so do not pass -C.

Read-only (review, analysis, debugging, explanation, architecture)

codex -a never exec -m <model> -s read-only -c model_reasoning_effort="<effort: read-only review>" --ephemeral - <<'CODEX_EOF'
<the full task, including any diff/code/context>
CODEX_EOF

Plan-review mode (cross-checking Claude's implementation plan)

When the caller says "plan-review mode" (or is clearly asking Codex to critique a plan rather than code), use read-only with the plan-review effort from Config:

codex -a never exec -m <model> -s read-only -c model_reasoning_effort="<effort: plan-review>" --ephemeral - <<'CODEX_EOF'
Review the implementation plan below. Inspect the repository as needed, but do
not implement changes — report findings only.

<the draft plan + context from the caller>

For each issue: state what's wrong, why it matters, and the concrete fix. Check
missed files/callers, ordering problems, risky assumptions, simpler alternatives,
and gaps in the validation plan. Separate confirmed defects from speculation. If
the plan is sound, say "no blocking issues" rather than inventing objections.
CODEX_EOF

Read the full file on GitHub · 135 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 135 lines · 55 tokens per session scan A 5b549e13adb1

Subscribe to this mod's changes

codex-shell is an agent published in the GitHub repository yongop/codex-delegate (6 stars, last pushed 12d ago), licensed MIT. It adds 55 tokens to every session and 1,601 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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