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codexCodex 编程助手

Agent Skill

codex 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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

212

周安装

9

GitHub Stars

149

下载量

74
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

2

许可证

unknown

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/sundial-org/skills
仓库路径:skills/codex
安装命令:
npx skills add https://github.com/sundial-org/skills --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。该命令会通过 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/sundial-org/skills --skill codex

简介

codex 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 建议结合原始 README 核验具体用法和功能细节。

SKILL.md

Codex CLI (Non-Interactive)

Codex is OpenAI's coding agent. Use codex exec to run it non-interactively from any cli agent.

When to Use Codex

Use Codex when:

  • Parallel work: Delegate a task while continuing other work
  • Second opinion: Get an independent implementation or review
  • Long-running tasks: Offload tasks that may take many iterations
  • Code review: Use codex exec review for PR/diff reviews

Do NOT use Codex for:

  • Simple file reads/edits you can do directly
  • Tasks requiring back-and-forth conversation
  • Tasks needing your current context

Quick Reference

# Analysis (read-only, default)
codex exec "describe the architecture of this codebase"

# Allow file edits
codex exec --full-auto "fix the failing tests"

# Code review
codex exec review --uncommitted
codex exec review --base main

# Structured JSON output
codex exec --output-schema schema.json -o result.json "extract metadata"

# Continue previous session (inherits original sandbox settings)
codex exec resume --last "now add tests"

Core Concepts

Output Streams

Progress goes to stderr, final result to stdout. To capture only the result:

codex exec "summarize the repo" 2>/dev/null > summary.txt

To see progress while capturing result:

codex exec "generate changelog" 2>&1 | tee output.txt

Sandbox Modes

In non-interactive mode, no approval prompts are possible. Permissions must be set upfront:

ModeFlagBehavior
Read-only(default)Reads anywhere, writes/commands blocked
Workspace-write--full-autoPre-approves edits and commands in workspace
Full access--yoloNo restrictions. Use in isolated environments only

Choose based on task:

  • Analysis/explanation → default (read-only)
  • Fix bugs/implement features → --full-auto
  • Needs network or system access → --yolo (dangerous)

Note: ~/.codex/config.toml can set project trust levels that override defaults.

Models

Default model is gpt-5.2-codex. Override with -m:

codex exec -m gpt-5 "explain this code"

Authentication

By default, the user should already be authenticated. If not, set CODEX_API_KEY:

CODEX_API_KEY=sk-... codex exec "task"

Code Review

Built-in review subcommand:

# Review uncommitted changes
codex exec review --uncommitted

# Review against a base branch
codex exec review --base main

# Review a specific commit
codex exec review --commit abc123

Structured Output

Use --output-schema for JSON output. Important: OpenAI requires additionalProperties: false on all object types.

codex exec --output-schema schema.json -o result.json "extract API endpoints"

Schema example:

{
  "type": "object",
  "properties": {
    "name": { "type": "string" },
    "endpoints": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "path": { "type": "string" },
          "method": { "type": "string" }
        },
        "required": ["path", "method"],
        "additionalProperties": false
      }
    }
  },
  "required": ["name", "endpoints"],
  "additionalProperties": false
}

Session Resume

Resume continues a previous session, inheriting its sandbox settings:

# Start a task
codex exec --full-auto "implement rate limiter"

# Continue later (inherits --full-auto from original)
codex exec resume --last "add unit tests"

# Or resume by session ID
codex exec resume <SESSION_ID> "follow-up task"

Note: Cannot pass --full-auto to resume; it inherits from the original session.

JSONL Event Stream

For programmatic use, --json outputs structured events:

codex exec --json "analyze code" 2>/dev/null | jq -c 'select(.type == "item.completed")'

Performance & Best Practices

Execution Time

Complex tasks typically take 60-120+ seconds. Simple analysis tasks complete in 10-30 seconds.

  • Tasks may continue executing even after your timeout
  • Always check if files were modified regardless of timeout status
  • Use tail -f <output_file> to monitor long-running background tasks

Task Granularity

Break complex work into focused tasks:

# Good: Focused, single-purpose tasks
codex exec --full-auto "add star ratings to the skill cards"
codex exec --full-auto "add a search filter to the toolbar"

# Avoid: Multi-feature requests in one task
codex exec --full-auto "add ratings, search, filters, modal, and animations"

Concurrent Editing

Avoid running multiple Codex sessions on the same file simultaneously. While it may work, concurrent edits risk merge conflicts or overwrites.

Large Files

Files over ~2000 lines slow execution as Codex reads the entire file multiple times. Consider:

  • Splitting into multiple files when possible
  • Using specific line references in prompts
  • Breaking incremental changes into smaller tasks

Error Handling

Common errors:

  • Timeout: Long tasks may timeout. Check if work completed anyway, or use resume to continue.
  • Sandbox blocked: Task needs writes but running in read-only. Use --full-auto.
  • Schema validation: Missing additionalProperties: false in schema objects.
  • Model not supported: Some models unavailable with ChatGPT auth. Use default gpt-5.2-codex.

Detailed References

Project Context

Codex reads AGENTS.md files for project instructions:

  • ~/.codex/AGENTS.md - Global defaults
  • <repo>/AGENTS.md - Project-specific
# AGENTS.md
- Run `npm test` after modifying JS files
- Use pnpm for dependencies

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

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

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

Codex

38.09%
按下载量换算28

Claude

28.43%
按下载量换算21

Cursor

18.29%
按下载量换算14

Gemini CLI

8.9%
按下载量换算7

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

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。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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