codex — AI 에이전트 스킬 qcc_plus, community, AI 에이전트 스킬, ide skills, Windsurf 스킬, 멀티 테넌트 지원, 자동 장애 전환, gpt-5.1-codex-max 모델, 고급 추론 노력, Docker 통합

v1.0.0

이 스킬 정보

Claude Code와 gpt-5.1-codex-max 모델을 사용한 고급 자동화 및 워크플로 최적화가 필요한 코딩 에이전트에 적합 Codex AI 에이전트 스킬은 AI 코딩 어시스턴트에 멀티 테넌트와 자동 장애 전환을 제공하는 기술입니다

기능

멀티 테넌트 지원
자동 장애 전환
웹 관리 인터페이스
gpt-5.1-codex-max 모델 사용
고급 추론 노력
Docker와 Golang 통합

# Core Topics

yxhpy yxhpy
[41]
[14]
Updated: 3/16/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
34
Canonical Locale
en
Detected Body Locale
en

Claude Code와 gpt-5.1-codex-max 모델을 사용한 고급 자동화 및 워크플로 최적화가 필요한 코딩 에이전트에 적합 Codex AI 에이전트 스킬은 AI 코딩 어시스턴트에 멀티 테넌트와 자동 장애 전환을 제공하는 기술입니다

이 스킬을 사용하는 이유

에이전트가 gpt-5.1-codex-max 모델을 사용하여 코딩 작업을 자동화할 수 있는 능력을 부여하며, 높은 추론 노력을 갖추고, 다중 테넌트 지원, 자동 장애 조치 및 Codex(Claude Code CLI 프록시 서버)를 통해 웹 관리 인터페이스를 제공하며, CLI 프로토콜 및 고급 추론을 사용하여 최적화된 워크플로 자동화를 구현

최적의 용도

Claude Code와 gpt-5.1-codex-max 모델을 사용한 고급 자동화 및 워크플로 최적화가 필요한 코딩 에이전트에 적합

실행 가능한 사용 사례 for codex

gpt-5.1-codex-max 모델을 사용하여 코딩 작업을 자동화
개발자를 위한 워크플로 자동화를 최적화
코딩 작업의 다중 테넌트 지원 및 자동 장애 조치를 활성화

! 보안 및 제한 사항

  • gpt-5.1-codex-max 모델 및 높은 추론 노력이 필요
  • 특정 모델 및 추론 노力的 사용이 필수
  • Claude Code CLI 프록시 서버와의 호환성이 필요

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is codex?

Claude Code와 gpt-5.1-codex-max 모델을 사용한 고급 자동화 및 워크플로 최적화가 필요한 코딩 에이전트에 적합 Codex AI 에이전트 스킬은 AI 코딩 어시스턴트에 멀티 테넌트와 자동 장애 전환을 제공하는 기술입니다

How do I install codex?

Run the command: npx killer-skills add yxhpy/qcc_plus/codex. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for codex?

Key use cases include: gpt-5.1-codex-max 모델을 사용하여 코딩 작업을 자동화, 개발자를 위한 워크플로 자동화를 최적화, 코딩 작업의 다중 테넌트 지원 및 자동 장애 조치를 활성화.

Which IDEs are compatible with codex?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for codex?

gpt-5.1-codex-max 모델 및 높은 추론 노력이 필요. 특정 모델 및 추론 노力的 사용이 필수. Claude Code CLI 프록시 서버와의 호환성이 필요.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add yxhpy/qcc_plus/codex. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use codex immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

codex

Codex AI 에이전트 스킬을 사용하여 멀티 테넌트, 자동 장애 전환, 웹 관리 인터페이스를 구현하고 Windsurf 개발을 강화합니다

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Codex Skill Guide

Running a Task

  1. Always use model gpt-5.1-codex-max with reasoning effort high for all Codex runs:
    • Model: gpt-5.1-codex-max (mandatory, do not change)
    • Reasoning effort: high (mandatory, do not change)
    • If the user mentions other model names (gpt-5, gpt-5-codex-max, gpt-5-codex), always use gpt-5.1-codex-max instead.
    • Clearly state in your summary that model gpt-5.1-codex-max with high reasoning effort was used.
  2. Select the sandbox mode required for the task; default to --sandbox read-only for analysis-only tasks, and use --sandbox workspace-write when edits are needed. Only consider --sandbox danger-full-access when the user’s request clearly requires network or broad system access.
  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

Following Up

  • After every codex command, summarize what was done, propose concrete next steps, and, if needed, ask focused follow-up questions only about the task itself (not about model or reasoning-effort choices).
  • 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 that gpt-5.1-codex-max with high reasoning effort was used, along with the 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 like --full-auto or --sandbox danger-full-access, make sure the user’s request clearly implies this level of automation or access; you do not need to ask them to choose model or reasoning-effort.
  • When output includes warnings or partial results, summarize them and ask how to adjust using AskUserQuestion.

관련 스킬

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