codex

softaworks/agent-toolkit · updated Apr 8, 2026

$npx skills add https://github.com/softaworks/agent-toolkit --skill codex
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summary

AI-powered code analysis, refactoring, and automated editing via Codex CLI with GPT-5.2.

  • Runs codex exec and codex resume commands with configurable reasoning effort ( xhigh , high , medium , low ) and sandbox modes (read-only, workspace-write, danger-full-access)
  • Defaults to GPT-5.2 model (76.3% SWE-bench performance); supports gpt-5.2-max, gpt-5.2-mini, and gpt-5.1-thinking for different complexity and cost trade-offs
  • Session continuity: resume prior Codex work at any time using co
skill.md

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 case Sandbox mode Key flags
Read-only review or analysis read-only --sandbox read-only 2>/dev/null
Apply local edits workspace-write --sandbox workspace-write --full-auto 2>/dev/null
Permit network or broad access danger-full-access --sandbox danger-full-access --full-auto 2>/dev/null
Resume recent session Inherited from original echo "prompt" | codex exec --skip-git-repo-check resume --last 2>/dev/null (no flags allowed)
Run from another directory Match task needs -C <DIR> plus other flags 2>/dev/null

Model Options

Model Best for Context window Key features
gpt-5.2-max Max model: Ultra-complex reasoning, deep problem analysis 400K input / 128K output 76.3% SWE-bench, adaptive reasoning, $1.25/$10.00
gpt-5.2 Flagship model: Software engineering, agentic coding workflows 400K input / 128K output 76.3% SWE-bench, adaptive reasoning, $1.25/$10.00
gpt-5.2-mini Cost-efficient coding (4x more usage allowance) 400K input / 128K output Near SOTA performance, $0.25/$2.00
gpt-5.1-thinking Ultra-complex reasoning, deep problem analysis 400K input / 128K output Adaptive 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.

Discussion

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general reviews

Ratings

4.434 reviews
  • Dhruvi Jain· Dec 8, 2024

    I recommend codex for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Hiroshi Haddad· Dec 8, 2024

    Solid pick for teams standardizing on skills: codex is focused, and the summary matches what you get after install.

  • Isabella Patel· Dec 4, 2024

    codex fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Nov 27, 2024

    Solid pick for teams standardizing on skills: codex is focused, and the summary matches what you get after install.

  • Isabella Sethi· Nov 27, 2024

    I recommend codex for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aarav Gupta· Nov 23, 2024

    We added codex from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ganesh Mohane· Oct 18, 2024

    codex is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Soo Wang· Oct 18, 2024

    Keeps context tight: codex is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mia Torres· Oct 14, 2024

    codex reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Sep 25, 2024

    codex fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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