Claude Skill

codex-cli

When handing work to the Codex CLI earns its cost, and how to size the run: second-model review, bounded implementation hand-offs, sandbox permissions, model and reasoning effort. Use when the user asks for Codex or `codex exec`, when a change is complex or high-stakes enough tha

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scarletkc/agents 222 12 forks Apache-2.0 Updated 3d ago
Part of scarletkc/agents — 6 skills

Install

skills CLI npx skills add https://github.com/scarletkc/agents/tree/main/skills/codex-cli
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install scarletkc-agents@llmmart
Git git clone https://github.com/scarletkc/agents.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole scarletkc/agents collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Codex CLI

Codex is a second agent on the same machine, with its own model behind it. That is the entire reason to reach for it: a model that did not write the code has no memory of intending it to work. Everything below follows from that one asymmetry — who wrote it, who reads it, and how much thinking each step is worth paying for.

This skill is for the supervising agent, not for Codex. If you are Codex, this does not apply — calling yourself buys nothing but a second opinion from the same mind. Claude Code is the intended caller.

It also assumes the machine is already set up: codex on PATH, the user logged in, and whatever MCP servers and tools they want available configured in ~/.codex/config.toml. If the binary is missing, auth has expired, or a run dies on permissions, report that plainly and stop — quietly falling back to doing it yourself hides the fact that the review the user asked for never happened.

Concrete flags belong to codex --help, which is authoritative and moves faster than this file. What follows is the judgment.

When to reach for it

Every invocation is a second model spending the user's money and your wall-clock time. It earns that when the problem is hard enough that another model changes the outcome — not as a reflex after every edit. Doing the work yourself and checking it with the project's own tests remains the normal path.

  • When the user asks for it. They have already made the call; don't re-litigate it. Match the model and effort to the task and go.
  • After writing something complex or expensive to get wrong. Your own review of your own diff is the weakest review available, because you are checking the code against the intent you already have in your head rather than against what it says. That weakness only matters when the defect would be costly — concurrency, migrations, security-adjacent paths, platform assumptions, anything on a compatibility surface. A routine edit that the suite already covers is not worth a review pass. Counter-example: an agent changed one side of a path comparison to a normalized form and left the other side platform-native; every test it wrote passed, because it wrote them against the same wrong mental model.
  • When a demanding change is bounded well enough to describe in a prompt. A hand-off is worth it when you can state the goal, the files, and the acceptance check in a paragraph. That paragraph is also the honest test of whether you understand the change — if you cannot write it, delegating it just moves the confusion downstream. What "bounded" means is scoped-change, and it binds Codex exactly as it binds you: pass the boundary along in the prompt, because Codex cannot infer where the user drew it.
  • When the work is long, mechanical, and verifiable. Wide renames, repetitive migrations, and mass edits with a green suite proving them buy throughput rather than insight, and they are cheap to check.
  • When you are stuck. After two failed attempts on the same defect, a third attempt from the same context tends to repeat the second. A fresh agent with the symptom and the reproduction, and none of your accumulated theory, is a better use of the next few minutes.

When to keep it

  • Ordinary work you can verify yourself. Most changes are this. Writing the prompt, waiting for the run, and reading the diff costs more than the edit, and a delegated pass over a small change mostly returns items you already knew. Absent a reason above, just do it.
  • Judgment about words. User-facing copy, documentation, naming, and release notes need the taste and the context of the session that has been talking to the user, and they survive delegation badly. See ux-writing.
  • Anything you cannot check afterwards. Delegating work you have no way to verify converts an unknown into a confident-sounding report, which is worse than the unknown. Establish the check first.
  • Decisions the user reserved. Choosing the approach, committing, pushing, opening or merging a PR — those stay where the user put them. A permissive sandbox makes it possible for a delegated run to do all of them, which is a reason to scope the prompt tightly, not a licence to let it decide.

Choosing the model

Pick from the task's difficulty, not from habit. Reaching for the strongest model every time wastes the user's money on renames; reaching for the cheapest on a subtle bug wastes the user's afternoon.

  • gpt-5.6-sol — the frontier model. Worth it for reviews that must not miss anything, root-cause hunts, concurrency and lock-ordering questions, cross-platform semantics, and any change whose failure mode is silent.
  • gpt-5.6-terra — balanced, and the sane default for ordinary feature work inside a boundary you have already defined.
  • gpt-5.6-luna — fast and cheap with a lower ceiling. Right when a test suite or a compiler, not the model, is what actually decides whether the result is correct.

Choosing the effort

Reasoning effort buys deliberation, not knowledge, and it multiplies both latency and cost. Scale it with how subtle the failure would be:

  • medium — mechanical work with an immediate, objective check.
  • high — real implementation work and routine reviews. The usual pick.
  • xhigh — subtle bugs, unfamiliar subsystems, anything one attempt has already failed at.
  • max — the hardest problems, when a wrong answer costs far more than the extra minutes. Deliberate, not habitual.

The pairing that matters most: review the code at least as high as you wrote it. A cheap review of an expensive change finds the typos and misses the reason you delegated it.

Running it

Drive the non-interactive surface — codex exec for work, codex exec review for review. Model and effort are per invocation: -m <model> and -c model_reasoning_effort=<level>, both overriding the user's config.toml defaults for that run only. Prefer codex exec review over the top-level codex review, which is equally non-interactive but takes the model through -c model="..." rather than -m. Review scope is --base <branch> for a branch, --uncommitted for the working tree, --commit <sha> for one commit. Everything else — --json, output files, resuming a session — is in codex --help.

Give it the permissions the task needs

This is the step that most often turns a delegated run into a wasted one. codex exec is sandboxed, and its own default — before the user's config is applied — is read-only: the model reads the repository, plans the change, and every write is refused. Failures inside the sandbox are handed back to the model rather than raised to you, so what returns is a fluent description of a change that never reached disk.

  • Let the user's configuration apply, and reach for -s mainly to narrow. Their config.toml already encodes the permission level they are willing to run at, and on many machines it is the setting that actually works. -s read-only is a sound narrowing for a review or an investigation, since nothing should be written anyway. --ignore-user-config discards their settings wholesale and is rarely what you want.
  • Raising the mode is a request, not a guarantee. -s workspace-write asks for a writable workspace; whether it is granted depends on the platform's sandbox backend and on any .rules policy in effect, and on a host without a working backend the writes are refused anyway. So confirm with git status on the target tree rather than with the run's summary. When the answer is "nothing changed", the fix lives in the user's configuration or their host setup — say so, rather than rerunning the same command or escalating the flag yourself.
  • Widen the reach deliberately, not by default. --add-dir makes another directory writable, which matters when the work spans a worktree and its main checkout; -C sets the working root; --skip-git-repo-check allows running outside a repository. workspace-write does not imply network access — that is a separate setting (sandbox_workspace_write.network_access), so dependency installs inside it fail until it is enabled.
  • Treat full access as the user's call. -s danger-full-access and --dangerously-bypass-approvals-and-sandbox remove the boundary that keeps a delegated agent inside the task. Some users configure exactly that globally and are happy with it; inheriting their setting is different from escalating to it yourself on a task they scoped narrowly.

Write the prompt like a brief

  • Put the acceptance check in it. State the goal, the files in scope, the test or command that proves it, and the boundary it must not cross. Codex cannot see your conversation with the user, so anything the user said that constrains the change has to be restated.
  • Ask review prompts for specifics. "Review this" returns prose. Naming what you are unsure of — the migration path, the error handling, the platform assumption — returns findings you can act on.

Reading the result back

A Codex run is a proposal, not a merge. You asked for a second model precisely because a single model's confidence is not evidence, and that cuts both ways.

  • Read the diff, not the summary. The report describes what Codex meant to do. Only the diff says what it did, and the gap between the two is where the surprises live — the unrelated file it touched, the test it relaxed to make something pass, the fallback it added to keep an error from surfacing.
  • Run the suite yourself. "Tests pass" from the agent that changed the tests is a claim about the same run that produced them.
  • Findings are input, not a verdict. A review from a strong model still produces items that are wrong about this codebase or out of scope for this change. Judge each one, fix what is real, and say plainly which ones you dismissed and why — an unexplained dismissal reads as an oversight later.
  • Report the division of labour. When the user reads the result, they should know which parts another agent wrote and what you verified. That is what makes the supervision worth anything.
Files (agents)
  • SKILL.md 11 KB
    ---
    name: codex-cli
    description: "When handing work to the Codex CLI earns its cost, and how to size the run: second-model review, bounded implementation hand-offs, sandbox permissions, model and reasoning effort. Use when the user asks for Codex or `codex exec`, when a change is complex or high-stakes enough that an independent reviewer would change the outcome, or when a delegated run needs its model, effort, or permissions chosen. For agents other than Codex itself."
    license: Apache-2.0
    metadata:
      author: scarletkc
      source: https://github.com/scarletkc/agents
      summary: "Reach for the Codex CLI when a task is hard enough to earn it: second-model review, bounded hand-offs, sandbox permissions, and a model and effort matched to the difficulty."
    ---
    
    # Codex CLI
    
    Codex is a second agent on the same machine, with its own model behind it.
    That is the entire reason to reach for it: a model that did not write the code
    has no memory of intending it to work. Everything below follows from that one
    asymmetry — who wrote it, who reads it, and how much thinking each step is
    worth paying for.
    
    This skill is for the supervising agent, not for Codex. If you *are* Codex,
    this does not apply — calling yourself buys nothing but a second opinion from
    the same mind. Claude Code is the intended caller.
    
    It also assumes the machine is already set up: `codex` on `PATH`, the user
    logged in, and whatever MCP servers and tools they want available configured
    in `~/.codex/config.toml`. If the binary is missing, auth has expired, or a
    run dies on permissions, report that plainly and stop — quietly falling back
    to doing it yourself hides the fact that the review the user asked for never
    happened.
    
    Concrete flags belong to `codex --help`, which is authoritative and moves
    faster than this file. What follows is the judgment.
    
    ## When to reach for it
    
    Every invocation is a second model spending the user's money and your
    wall-clock time. It earns that when the problem is hard enough that another
    model changes the outcome — not as a reflex after every edit. Doing the work
    yourself and checking it with the project's own tests remains the normal path.
    
    - **When the user asks for it.** They have already made the call; don't
      re-litigate it. Match the model and effort to the task and go.
    - **After writing something complex or expensive to get wrong.** Your own
      review of your own diff is the weakest review available, because you are
      checking the code against the intent you already have in your head rather
      than against what it says. That weakness only matters when the defect would
      be costly — concurrency, migrations, security-adjacent paths, platform
      assumptions, anything on a compatibility surface. A routine edit that the
      suite already covers is not worth a review pass. *Counter-example: an agent
      changed one side of a path comparison to a normalized form and left the
      other side platform-native; every test it wrote passed, because it wrote
      them against the same wrong mental model.*
    - **When a demanding change is bounded well enough to describe in a prompt.**
      A hand-off is worth it when you can state the goal, the files, and the
      acceptance check in a paragraph. That paragraph is also the honest test of
      whether *you* understand the change — if you cannot write it, delegating it
      just moves the confusion downstream. What "bounded" means is
      [`scoped-change`](https://github.com/scarletkc/agents/blob/main/skills/scoped-change/SKILL.md),
      and it binds Codex exactly as it binds you: pass the boundary along in the
      prompt, because Codex cannot infer where the user drew it.
    - **When the work is long, mechanical, and verifiable.** Wide renames,
      repetitive migrations, and mass edits with a green suite proving them buy
      throughput rather than insight, and they are cheap to check.
    - **When you are stuck.** After two failed attempts on the same defect, a
      third attempt from the same context tends to repeat the second. A fresh
      agent with the symptom and the reproduction, and none of your accumulated
      theory, is a better use of the next few minutes.
    
    ## When to keep it
    
    - **Ordinary work you can verify yourself.** Most changes are this. Writing
      the prompt, waiting for the run, and reading the diff costs more than the
      edit, and a delegated pass over a small change mostly returns items you
      already knew. Absent a reason above, just do it.
    - **Judgment about words.** User-facing copy, documentation, naming, and
      release notes need the taste and the context of the session that has been
      talking to the user, and they survive delegation badly. See
      [`ux-writing`](https://github.com/scarletkc/agents/blob/main/skills/ux-writing/SKILL.md).
    - **Anything you cannot check afterwards.** Delegating work you have no way
      to verify converts an unknown into a confident-sounding report, which is
      worse than the unknown. Establish the check first.
    - **Decisions the user reserved.** Choosing the approach, committing,
      pushing, opening or merging a PR — those stay where the user put them. A
      permissive sandbox makes it *possible* for a delegated run to do all of
      them, which is a reason to scope the prompt tightly, not a licence to let
      it decide.
    
    ## Choosing the model
    
    Pick from the task's difficulty, not from habit. Reaching for the strongest
    model every time wastes the user's money on renames; reaching for the cheapest
    on a subtle bug wastes the user's afternoon.
    
    - **`gpt-5.6-sol`** — the frontier model. Worth it for reviews that must not
      miss anything, root-cause hunts, concurrency and lock-ordering questions,
      cross-platform semantics, and any change whose failure mode is silent.
    - **`gpt-5.6-terra`** — balanced, and the sane default for ordinary feature
      work inside a boundary you have already defined.
    - **`gpt-5.6-luna`** — fast and cheap with a lower ceiling. Right when a test
      suite or a compiler, not the model, is what actually decides whether the
      result is correct.
    
    ## Choosing the effort
    
    Reasoning effort buys deliberation, not knowledge, and it multiplies both
    latency and cost. Scale it with how subtle the failure would be:
    
    - **`medium`** — mechanical work with an immediate, objective check.
    - **`high`** — real implementation work and routine reviews. The usual pick.
    - **`xhigh`** — subtle bugs, unfamiliar subsystems, anything one attempt has
      already failed at.
    - **`max`** — the hardest problems, when a wrong answer costs far more than
      the extra minutes. Deliberate, not habitual.
    
    The pairing that matters most: **review the code at least as high as you wrote
    it.** A cheap review of an expensive change finds the typos and misses the
    reason you delegated it.
    
    ## Running it
    
    Drive the non-interactive surface — `codex exec` for work, `codex exec review`
    for review. Model and effort are per invocation: `-m <model>` and
    `-c model_reasoning_effort=<level>`, both overriding the user's `config.toml`
    defaults for that run only. Prefer `codex exec review` over the top-level
    `codex review`, which is equally non-interactive but takes the model through
    `-c model="..."` rather than `-m`. Review scope is `--base <branch>` for
    a branch, `--uncommitted` for the working tree, `--commit <sha>` for one
    commit. Everything else — `--json`, output files, resuming a session — is in
    `codex --help`.
    
    ### Give it the permissions the task needs
    
    This is the step that most often turns a delegated run into a wasted one.
    `codex exec` is sandboxed, and its own default — before the user's config is
    applied — is **read-only**: the model reads the repository, plans the change,
    and every write is refused. Failures inside the sandbox are handed back to the
    model rather than raised to you, so what returns is a fluent description of a
    change that never reached disk.
    
    - **Let the user's configuration apply, and reach for `-s` mainly to
      narrow.** Their `config.toml` already encodes the permission level they are
      willing to run at, and on many machines it is the setting that actually
      works. `-s read-only` is a sound narrowing for a review or an
      investigation, since nothing should be written anyway.
      `--ignore-user-config` discards their settings wholesale and is rarely what
      you want.
    - **Raising the mode is a request, not a guarantee.** `-s workspace-write`
      asks for a writable workspace; whether it is granted depends on the
      platform's sandbox backend and on any `.rules` policy in effect, and on a
      host without a working backend the writes are refused anyway. So confirm
      with `git status` on the target tree rather than with the run's summary.
      When the answer is "nothing changed", the fix lives in the user's
      configuration or their host setup — say so, rather than rerunning the same
      command or escalating the flag yourself.
    - **Widen the reach deliberately, not by default.** `--add-dir` makes another
      directory writable, which matters when the work spans a worktree and its
      main checkout; `-C` sets the working root; `--skip-git-repo-check` allows
      running outside a repository. `workspace-write` does not imply network
      access — that is a separate setting
      (`sandbox_workspace_write.network_access`), so dependency installs inside
      it fail until it is enabled.
    - **Treat full access as the user's call.** `-s danger-full-access` and
      `--dangerously-bypass-approvals-and-sandbox` remove the boundary that keeps
      a delegated agent inside the task. Some users configure exactly that
      globally and are happy with it; inheriting their setting is different from
      escalating to it yourself on a task they scoped narrowly.
    
    ### Write the prompt like a brief
    
    - **Put the acceptance check in it.** State the goal, the files in scope, the
      test or command that proves it, and the boundary it must not cross. Codex
      cannot see your conversation with the user, so anything the user said that
      constrains the change has to be restated.
    - **Ask review prompts for specifics.** "Review this" returns prose. Naming
      what you are unsure of — the migration path, the error handling, the
      platform assumption — returns findings you can act on.
    
    ## Reading the result back
    
    A Codex run is a proposal, not a merge. You asked for a second model precisely
    because a single model's confidence is not evidence, and that cuts both ways.
    
    - **Read the diff, not the summary.** The report describes what Codex meant
      to do. Only the diff says what it did, and the gap between the two is where
      the surprises live — the unrelated file it touched, the test it relaxed to
      make something pass, the fallback it added to keep an error from surfacing.
    - **Run the suite yourself.** "Tests pass" from the agent that changed the
      tests is a claim about the same run that produced them.
    - **Findings are input, not a verdict.** A review from a strong model still
      produces items that are wrong about this codebase or out of scope for this
      change. Judge each one, fix what is real, and say plainly which ones you
      dismissed and why — an unexplained dismissal reads as an oversight later.
    - **Report the division of labour.** When the user reads the result, they
      should know which parts another agent wrote and what you verified. That is
      what makes the supervision worth anything.
    

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