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@1c0662a
by softaworkssoftaworks/agent-toolkit2.5k stars
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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.

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Use this Skill: https://skilld.dev/gh/softaworks/agent-toolkit/codex

This session only. Nothing lands on disk.

SKILL.md

≈55 tokens always: the name and description. ≈1.2k when used: this file. ≈547 more on demand in 1 file.

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.

Source: SKILL.md on GitHub

Third-party checks

1 alert16d5 checks · Risk MEDIUM
  • Gen Agent Trust Hub16d

    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.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer7mo

    2/2 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Provenance

Signed by skilld at 1c0662a. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 months ago.

Dormantupdated 9 months ago

Topics

  • Refactoring
  • CLI
  • codex
  • gpt-5.2
  • code-analysis
  • automated-editing
  • software-engineering
  • agentic

README badge

README badge for softaworks/agent-toolkit/codex

What it does

Wrapper for Codex CLI that runs code analysis and refactoring tasks using GPT-5.2, with configurable reasoning effort levels and sandbox modes for read-only review or workspace edits. Targets OpenAI Codex workflows and includes session resumption via stdin piping.

Generated from the current SKILL.md.

Frequently asked

What model does Codex use by default?
GPT-5.2, which achieves 76.3% on SWE-bench and is optimized for software engineering tasks. Users can override this with other GPT-5.2 variants (gpt-5.2-max, gpt-5.2-mini) or gpt-5.1-thinking.
What sandbox modes are available?
read-only (default for analysis), workspace-write (to apply local edits), and danger-full-access (for tasks requiring network or broad system access).
Can I resume a Codex session?
Yes. Use `codex resume` or pipe a new prompt via stdin with `echo "prompt" | codex exec --skip-git-repo-check resume --last 2>/dev/null`. The resumed session inherits the original model, reasoning effort, and sandbox mode.
What reasoning effort levels are available?
xhigh (ultra-complex analysis), high (refactoring/security), medium (standard tasks), and low (quick fixes). The skill prompts you to choose based on task complexity.
What is the minimum CLI version required?
Codex CLI v0.57.0 or later for GPT-5.2 support. Check your version with `codex --version`.

Generated from the current SKILL.md. These answers refresh after source changes.