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codex-mcp-devCodex MCP DEV 命令行

Agent Skill

codex-mcp-dev 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

11,236

周安装

459

GitHub Stars

公开资料未说明

下载量

3,599
OpenClaw

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

2

许可证

MIT-0

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-mcp-dev(Codex MCP DEV 命令行)
来源仓库:https://github.com/hollywood3/codex-mcp-dev
安装命令:
openclaw skills install codex-mcp-dev
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install codex-mcp-dev

简介

codex-mcp-dev 用于通过 mcporter 连接本地 Codex CLI。

  • 支持实际编码工作如功能构建和 bug 修复。
  • 通过 clawhub 安装,需确认是否会执行本地命令。
  • 适合需要实时反馈的开发调试场景。codex-mcp-dev 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 建议限制命令执行权限以保障系统安全。

SKILL.md

name
codex-mcp-dev
description
Use the local Codex CLI through mcporter and codex-mcp-server for real coding work in the current project. Use when the user asks to build features, fix bugs, refactor code, debug failures, write or update tests, review implementation options, or otherwise delegate non-trivial development work to the machine-local Codex installation.

Codex MCP Dev

Use the local Codex installation through the wrapper script at {baseDir}/scripts/codex_mcp.py. This gives a stable path:

OpenClaw → mcporter → codex-mcp-server → local codex

Quick Setup

Install prerequisites first:

  • mcporter
  • local codex
  • codex-mcp

Create the project MCP entry if config/mcporter.json does not exist yet:

mcporter config add codex-cli --scope project --command codex-mcp

This skill expects a workspace-local MCP server named codex-cli.

Workflow

  1. Use this skill for non-trivial coding tasks.
  2. If it is the first use in a session or something looks broken, run:

- python3 {baseDir}/scripts/codex_mcp.py doctor

  1. Choose a mode:

- Analysis / planning / explanation: use ask without --full-auto - Implementation / refactor / test-writing: use ask --full-auto

  1. Always set --cwd to the target repo or project directory.
  2. Give Codex a concrete prompt with files, constraints, and acceptance criteria.
  3. After Codex responds, inspect files and run local tests yourself when feasible instead of trusting the tool output blindly.
  4. Summarize changes, tests run, and any remaining risks.

Good Uses

  • Implementing features across multiple files
  • Fixing bugs with real repo context
  • Refactoring with constraints
  • Writing or updating tests
  • Debugging failing commands or stack traces
  • Asking local Codex for a second implementation pass or review

Command Patterns

Health check

python3 {baseDir}/scripts/codex_mcp.py doctor

Version info

python3 {baseDir}/scripts/codex_mcp.py version

Normal implementation

python3 {baseDir}/scripts/codex_mcp.py ask \
  --cwd /absolute/path/to/repo \
  --full-auto \
  --prompt "Implement the requested change, update tests, and summarize what changed."

Read-only analysis

python3 {baseDir}/scripts/codex_mcp.py ask \
  --cwd /absolute/path/to/repo \
  --sandbox-mode read-only \
  --approval-policy never \
  --prompt "Explain the bug, identify likely root cause, and propose the smallest safe fix."

Long prompt from file

python3 {baseDir}/scripts/codex_mcp.py ask \
  --cwd /absolute/path/to/repo \
  --full-auto \
  --prompt-file /tmp/codex-task.txt

Prompting Rules

Include as many of these as possible:

  • Target files or directories
  • Desired behavior
  • Exact error messages or failing tests
  • Constraints on scope
  • Required test updates
  • Expected output format

Prefer prompts like:

  • "Fix the failing test in tests/api.test.ts without changing public behavior. Run the relevant tests and summarize the root cause."
  • "Refactor src/cache.py for readability, keep behavior identical, and add regression tests for TTL edge cases."
  • "Review the auth flow in server/ and identify the top 3 correctness risks with concrete file references."

Guardrails

  • Prefer --full-auto for ordinary implementation work.
  • Do not use --yolo unless the user explicitly wants aggressive execution.
  • Use repo-specific --cwd; do not run against the wrong directory.
  • Validate with local reads/tests when possible.
  • If the task is tiny or surgical, skip this skill and edit directly.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

75.85%
按下载量换算2,730

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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