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codexCodex 编程助手

Agent Skill

codex 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

89,856

周安装

3,570

GitHub Stars

1,712

下载量

29,088
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:codex(Codex 编程助手)
来源仓库:https://github.com/softaworks/agent-toolkit
仓库路径:skills/codex
安装命令:
npx skills add https://github.com/softaworks/agent-toolkit --skill codex
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

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

简介

通过采用 GPT-5.2 的 Codex CLI 进行人工智能驱动的代码分析、重构和自动编辑。

  • 运行 codex exec
  • 和法典简历
  • 具有可配置推理工作的命令( xhigh, 高, 中等, 低)和沙盒模式(只读、工作区写入、危险完全访问)
  • 默认为 GPT-5.2 模型(76.3% SWE 基准性能);支持 gpt-5.2-max、gpt-5.2-mini 和 gpt-5.1-thinking,以实现不同的复杂性和成本权衡
  • 会话连续性:使用 codexresume --last 随时恢复之前的 Codex 工作
  • 无需重复配置标志
  • 默认抑制思考标记;要求查看 stderr 以进行调试或显式推理检查

SKILL.md

name
codex
description
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.

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

  1. Always use --skip-git-repo-check.
  2. 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.
  3. 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.
  4. Run the command, capture stdout/stderr (filtered as appropriate), and summarize the outcome for the user.
  5. 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 original`echo "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-5.2Flagship 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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.16%
按下载量换算8,482

Cursor

22.79%
按下载量换算6,629

Codex

16.96%
按下载量换算4,933

Gemini CLI

11.96%
按下载量换算3,479

OpenCode

7.13%
按下载量换算2,074

windsurf

3.4%
按下载量换算989

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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