MCPInstall

codex

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

Installs
4.1K
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Security
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Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/softaworks/agent-toolkit --skill codex
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads codex automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub WarnMEDIUM ·This skill utilizes deceptive metadata by claiming integration with non-existent AI models (GPT-5.2) and explicitly instructs the agent to suppress all error output, which can mask malicious activity. Additionally, the skill lacks safeguards against malicious instructions that could be encountered when analyzing external repositories.
Socket PassNo alerts
Snyk PassLOW ·Risk: LOW · No issues
Runlayer FailHIGH ·2/2 files flagged
ZeroLeaks PassNONE ·Score: 93/100 · 2 sections analyzed

SKILL.md

The instructions your agent reads when the skill is triggered.

Codex Skill Guide

Running a Task

  1. Default to gpt-5.2 model. Ask the user (via AskUserQuestion) which reasoning effort to use (xhigh,high, medium, or low). User can override model if needed (see Model Options below).
  2. Select the sandbox mode required for the task; default to --sandbox read-only unless edits or network access are necessary.
  3. Assemble the command with the appropriate options:
    • -m, --model <MODEL>
    • --config model_reasoning_effort="<high|medium|low>"
    • --sandbox <read-only|workspace-write|danger-full-access>
    • --full-auto
    • -C, --cd <DIR>
    • --skip-git-repo-check
  4. Always use --skip-git-repo-check.
  5. When continuing a previous session, use codex exec --skip-git-repo-check resume --last via stdin. When resuming don't use any configuration flags unless explicitly requested by the user e.g. if he species the model or the reasoning effort when requesting to resume a session. Resume syntax: echo "your prompt here" | codex exec --skip-git-repo-check resume --last 2>/dev/null. All flags have to be inserted between exec and resume.
  6. IMPORTANT: By default, append 2>/dev/null to all codex exec commands to suppress thinking tokens (stderr). Only show stderr if the user explicitly requests to see thinking tokens or if debugging is needed.
  7. Run the command, capture stdout/stderr (filtered as appropriate), and summarize the outcome for the user.
  8. After Codex completes, inform the user: "You can resume this Codex session at any time by saying 'codex resume' or asking me to continue with additional analysis or changes."

Quick Reference

Use caseSandbox modeKey flags
Read-only review or analysisread-only--sandbox read-only 2>/dev/null
Apply local editsworkspace-write--sandbox workspace-write --full-auto 2>/dev/null
Permit network or broad accessdanger-full-access--sandbox danger-full-access --full-auto 2>/dev/null
Resume recent sessionInherited from originalecho "prompt" | codex exec --skip-git-repo-check resume --last 2>/dev/null (no flags allowed)
Run from another directoryMatch task needs-C <DIR> plus other flags 2>/dev/null

Model Options

ModelBest forContext windowKey features
gpt-5.2-maxMax model: Ultra-complex reasoning, deep problem analysis400K input / 128K output76.3% SWE-bench, adaptive reasoning, $1.25/$10.00
gpt-5.2 ⭐Flagship model: Software engineering, agentic coding workflows400K input / 128K output76.3% SWE-bench, adaptive reasoning, $1.25/$10.00
gpt-5.2-miniCost-efficient coding (4x more usage allowance)400K input / 128K outputNear SOTA performance, $0.25/$2.00
gpt-5.1-thinkingUltra-complex reasoning, deep problem analysis400K input / 128K outputAdaptive thinking depth, runs 2x slower on hardest tasks

GPT-5.2 Advantages: 76.3% SWE-bench (vs 72.8% GPT-5), 30% faster on average tasks, better tool handling, reduced hallucinations, improved code quality. Knowledge cutoff: September 30, 2024.

Reasoning Effort Levels:

  • xhigh - Ultra-complex tasks (deep problem analysis, complex reasoning, deep understanding of the problem)
  • high - Complex tasks (refactoring, architecture, security analysis, performance optimization)
  • medium - Standard tasks (refactoring, code organization, feature additions, bug fixes)
  • low - Simple tasks (quick fixes, simple changes, code formatting, documentation)

Cached Input Discount: 90% off ($0.125/M tokens) for repeated context, cache lasts up to 24 hours.

Following Up

  • After every codex command, immediately use AskUserQuestion to confirm next steps, collect clarifications, or decide whether to resume with codex exec resume --last.
  • When resuming, pipe the new prompt via stdin: echo "new prompt" | codex exec resume --last 2>/dev/null. The resumed session automatically uses the same model, reasoning effort, and sandbox mode from the original session.
  • Restate the chosen model, reasoning effort, and sandbox mode when proposing follow-up actions.

Error Handling

  • Stop and report failures whenever codex --version or a codex exec command exits non-zero; request direction before retrying.
  • Before you use high-impact flags (--full-auto, --sandbox danger-full-access, --skip-git-repo-check) ask the user for permission using AskUserQuestion unless it was already given.
  • When output includes warnings or partial results, summarize them and ask how to adjust using AskUserQuestion.

CLI Version

Requires Codex CLI v0.57.0 or later for GPT-5.2 model support. The CLI defaults to gpt-5.2 on macOS/Linux and gpt-5.2 on Windows. Check version: codex --version

Use /model slash command within a Codex session to switch models, or configure default in ~/.codex/config.toml.

FAQ

What does the codex skill do?

Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.

How do I install codex?

Run npx skills add https://github.com/softaworks/agent-toolkit --skill codex in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/codex/ (personal) or .claude/skills/codex/ (project).

Which AI agents can use codex?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is codex safe to install?

Security partners have reviewed it: Gen Agent Trust Hub flagged items to review; Socket passed; Snyk passed; Runlayer flagged risks; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains codex?

It is published by softaworks in softaworks/agent-toolkit. It has 4,073 recorded installs.

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