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codex-sub-agents-1Codex SUB Agent 1 搜索

Agent Skill

codex-sub-agents-1 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

38,737

周安装

1,647

GitHub Stars

公开资料未说明

下载量

13,571
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-sub-agents-1(Codex SUB Agent 1 搜索)
来源仓库:https://github.com/phucanh08/codex-sub-agents-1
安装命令:
openclaw skills install codex-sub-agents-1
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-sub-agents-1

简介

使用 OpenAI Codex CLI 执行编码任务。触发器:codex、代码审查、修复 CI、重构代码、实现功能、编码代理、gpt-5-codex。使 Clawdbot 能够将编码工作委托给 Codex CLI 作为子代理或直接工具。

SKILL.md

name
codex-cli
description
Use OpenAI Codex CLI for coding tasks. Triggers: codex, code review, fix CI, refactor code, implement feature, coding agent, gpt-5-codex. Enables Clawdbot to delegate coding work to Codex CLI as a subagent or direct tool.

OpenAI Codex CLI Skill

Use OpenAI Codex CLI (codex) for coding tasks including code review, refactoring, bug fixes, CI repairs, and feature implementation. Codex CLI runs locally on your machine with full filesystem access.

When to Use

  • User asks for code changes, refactoring, or implementation
  • CI/build failures need fixing
  • Code review before commit/push
  • Large codebase exploration or explanation
  • Tasks requiring file editing + command execution
  • When GPT-5-Codex model strengths are needed (code generation, tool use)

Installation & Auth

Codex CLI requires ChatGPT Plus/Pro/Business/Enterprise subscription.

# Install
npm i -g @openai/codex

# Authenticate (opens browser for OAuth)
codex login

# Or use API key
printenv OPENAI_API_KEY | codex login --with-api-key

# Verify auth
codex login status

Core Commands

Interactive Mode (TUI)

codex                           # Launch interactive terminal UI
codex "explain this codebase"   # Start with a prompt
codex --cd ~/projects/myapp     # Set working directory

Non-Interactive (Scripting)

codex exec "fix the CI failure"                    # Run and exit
codex exec --full-auto "add input validation"      # Auto-approve workspace writes
codex exec --json "list all API endpoints"         # JSON output for parsing
codex exec -i screenshot.png "match this design"   # With image input

Session Management

codex resume               # Pick from recent sessions
codex resume --last        # Continue most recent
codex resume <SESSION_ID>  # Resume specific session

Slash Commands (In TUI)

CommandPurpose
/modelSwitch model (gpt-5-codex, gpt-5)
/approvalsSet approval mode (Auto, Read Only, Full Access)
/reviewCode review against branch, uncommitted changes, or specific commit
/diffShow Git diff including untracked files
/compactSummarize conversation to free context
/initGenerate AGENTS.md scaffold
/statusShow session config and token usage
/undoRevert most recent turn
/newStart fresh conversation
/mcpList configured MCP tools
/mention <path>Attach file to conversation

Approval Modes

ModeBehavior
Auto (default)Read/edit/run commands in workspace; asks for outside access
Read OnlyBrowse files only; requires approval for changes
Full AccessFull machine access including network (use sparingly)

Key Flags

FlagPurpose
--model, -m <model>Override model (gpt-5-codex, gpt-5)
--cd, -C <path>Set working directory
--add-dir <path>Add additional writable roots
--image, -i <path>Attach image(s) to prompt
--full-autoWorkspace write + approve on failure
--sandbox <mode>read-only, workspace-write, danger-full-access
--jsonOutput newline-delimited JSON
--searchEnable web search tool

Clawdbot Integration Patterns

Pattern 1: Direct exec Tool

Call Codex from Clawdbot's exec tool for coding tasks:

# In Clawdbot session
exec codex exec --full-auto --cd ~/projects/medreport "fix the TypeScript errors in src/components"

Pattern 2: Subagent Delegation

Spawn a coding subagent that uses Codex:

// In agents.defaults or per-agent config
{
  agents: {
    list: [
      {
        id: "coder",
        workspace: "~/clawd-coder",
        model: "openai-codex/gpt-5.2",  // Uses Codex auth
        tools: {
          allow: ["exec", "read", "write", "edit", "apply_patch", "process"]
        }
      }
    ]
  }
}

Pattern 3: CLI Backend Fallback

Configure Codex as a text-only fallback:

{
  agents: {
    defaults: {
      cliBackends: {
        "codex-cli": {
          command: "codex",
          args: ["exec", "--full-auto"],
          output: "text",
          sessionArg: null  // Codex manages its own sessions
        }
      }
    }
  }
}

Pattern 4: MCP Server Mode

Run Codex as an MCP server for other agents:

codex mcp-server  # Exposes Codex tools via stdio MCP

Clawdbot Config: OpenAI Codex Provider

Use your ChatGPT Pro subscription via the openai-codex provider:

{
  agents: {
    defaults: {
      model: { primary: "openai-codex/gpt-5.2" },
      models: {
        "openai-codex/gpt-5.2": { alias: "Codex" },
        "anthropic/claude-opus-4-5": { alias: "Opus" }
      }
    }
  }
}

Auth syncs automatically from ~/.codex/auth.json to Clawdbot's auth profiles.

Code Review Workflow

# Interactive review
codex
/review  # Choose: branch, uncommitted, or specific commit

# Non-interactive
codex exec "review the changes in this PR against main branch"

Multi-Directory Projects

# Work across monorepo packages
codex --cd apps/frontend --add-dir ../backend --add-dir ../shared

# Or in TUI
codex --cd ~/projects/myapp --add-dir ~/projects/shared-lib

Custom Slash Commands

Create reusable prompts in ~/.codex/prompts/:

<!-- ~/.codex/prompts/pr.md -->
---
description: Prepare and open a draft PR
argument-hint: [BRANCH=<name>] [TITLE="<title>"]
---

Create branch `dev/$BRANCH` if specified.
Stage and commit changes with a clear message.
Open a draft PR with title $TITLE or auto-generate one.

Invoke: /prompts:pr BRANCH=feature-auth TITLE="Add OAuth flow"

MCP Integration

Add MCP servers to extend Codex:

# Add stdio server
codex mcp add github -- npx @anthropic/mcp-server-github

# Add HTTP server
codex mcp add docs --url https://mcp.deepwiki.com/mcp

# List configured
codex mcp list

Web Search

Enable in ~/.codex/config.toml:

[features]
web_search_request = true

[sandbox_workspace_write]
network_access = true

Then Codex can search for current docs, APIs, etc.

Best Practices

  1. Start with /init to create AGENTS.md with repo-specific instructions
  2. Use /review before commits for AI code review
  3. Set /approvals appropriately — Auto for trusted repos, Read Only for exploration
  4. Use --add-dir for monorepos instead of danger-full-access
  5. Resume sessions to maintain context across coding sessions
  6. Attach images for UI work, design specs, error screenshots

Example Workflows

Fix CI Failure

codex exec --full-auto "The CI is failing on the lint step. Fix all ESLint errors."

Refactor Component

codex exec --cd src/components "Refactor UserProfile.tsx to use React Query instead of useEffect for data fetching"

Implement Feature from Spec

codex exec -i spec.png --cd ~/projects/app "Implement this feature based on the design spec"

Code Review PR

codex exec "Review the diff between main and feature/auth branch. Focus on security issues."

Troubleshooting

IssueSolution
Auth failsRun codex logout then codex login
Commands blockedCheck /approvals, may need --full-auto
Out of contextUse /compact to summarize
Wrong directoryUse --cd flag or check /status
Model unavailableVerify subscription tier supports model

References

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

83.21%
按下载量换算11,292

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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