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Agent Skill · 前端设计

codex-prompting(Codex prompting 前端)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

codex-prompting 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 5,099。

总安装 737周安装 31GitHub Stars 55下载 258核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-prompting(Codex prompting 前端)
来源仓库:https://github.com/joelhooks/joelclaw
仓库路径:skills/codex-prompting
安装命令:
npx skills add https://github.com/joelhooks/joelclaw --skill codex-prompting
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/joelhooks/joelclaw --skill codex-prompting

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

codex-prompting 优化提示词结构与系统指令,提升 Agent 行为一致性。适用于规范任务边界、统一输出格式或构建可复用工作流模板。自动设置 gpt-5.4 模型,仅按用户要求覆盖其他模型。涉及高风险操作时应在提示词中明确确认步骤与失败处理逻辑。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/codex-prompting

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/joelhooks/joelclaw --skill codex-prompting;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

codex-prompting 怎么安装?

在终端执行 npx skills add https://github.com/joelhooks/joelclaw --skill codex-prompting。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

codex-prompting 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

codex-prompting 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/joelhooks/joelclaw --skill codex-prompting 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

codex-prompting 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

codex-prompting 用的人多吗?

公开数据是累计安装 737 次,近一周安装 31 次,下载 258 次,GitHub 55 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

codex-prompting 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
codex-prompting

Codex prompting 前端 · 本页

73755执行命令未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Codex Prompting Skill

What this skill is for

Use this when the request is any of the following:

  • "send to codex"
  • "prompt codex"
  • "use codex"
  • "ask codex"
  • "delegate to codex"
  • "delegate this to codex"
  • "run this in codex"
  • "run in codex"
  • "handoff to codex"
  • "handoff this to codex"
  • "codex this"

The job is to produce a high-signal Codex request that gets directly executed with minimal ambiguity.

Required model default

  • Codex tasks must set model to gpt-5.4 when unspecified.
  • Use an explicit model override only when user explicitly requests another.

Local runtime defaults (Panda)

  • Global defaults live in ~/.codex/config.toml:

- approval_policy = "never" - sandbox_mode = "danger-full-access" - allow_login_shell = false

  • Hard safety rails live in ~/.codex/rules/safety.rules:

- forbid force/mirror pushes - forbid obvious filesystem root wipe commands - forbid disk-destruction primitives (diskutil eraseDisk, mkfs, dd)

  • pi-tools codex extension defaults to:

- --ask-for-approval never - --sandbox danger-full-access - full_auto = false (opt-in legacy mode)

  • Expected behavior:

- normal git commit and git push should run without permission friction - blocked commands fail fast with explicit forbidden decision

System shape to anchor Codex prompts

  • Orchestrated by packages/system-bus and durable Inngest functions.
  • Event bridge and notifications flow through Redis, gateway, and Telegram.
  • Observability is required: OTEL -> Typesense (otel_events) -> Convex/UI surfaces.
  • CLI-first operations are expected; prefer joelclaw, slog, and skill commands instead of direct daemon/db/process pokes.

Always-follow execution contract (from OpenAI Codex prompting guide)

  1. No preamble, no plans, and no “I’ll do X then Y” narration.
  2. Preserve strict action-first output:

- do exactly what the user asked - include only necessary confirmation - return direct results.

  1. Keep prompts structured and executable.
  2. Preserve one clear objective and constrained scope.
  3. Prioritize safe shell/tool actions and explicit failure handling.
  4. Use parallel tool calls whenever independent work can run concurrently.
  5. Use durable workflow patterns in Codex loops:

- explicit IDs - explicit rollback/retry context - structured outputs for downstream steps.

Canonical request format for Codex handoff

Use this exact shape unless the user already provided a better one:

  • Goal: <single concrete outcome>
  • Context: <repo/path/runtime facts>
  • Constraints: <time/risk/tool limits>
  • Do:

- <task 1> - <task 2>

  • Deliver:

- <artifact paths> - <verification commands + expected signals>

  • Rollback:

- <quick recovery command>

If asking Codex to operate this repo, include absolute paths and the owning system paths (apps/web, packages/system-bus, etc.).

Skill routing reminders

When Codex output needs deeper execution, remind Codex to use these local/system skills first:

  • inngest and inngest-durable-functions for durable work definitions and retries
  • gateway and gateway-diagnose for session/event bridge and Telegram path checks
  • o11y-logging for telemetry-first implementations
  • joelclaw-system-check for full environment health checks
  • skill-creator when defining/expanding skill content
  • joelclaw CLI (status, runs, logs, etc.) for validation

If context is web work, add:

  • joelclaw-web, frontend-design, and any relevant next-* skill.

Do NOT poll codex_tasks

After dispatching a codex task, do not poll codex_tasks in a loop. The widget shows live status automatically. Polling every 2-3 seconds wastes tokens, clutters the conversation, and adds no value.

Instead:

  • Dispatch the task
  • Do other useful work (read files, update ADRs, prepare next steps)
  • Check codex_tasks once after ~60 seconds, or when the widget shows completion
  • If the task is still running after 60s, check once more at ~120s
  • Never poll more than 3 times total for a single task

The task result is reported back automatically when it finishes. Trust the widget.

What to include in prompts

For any Codex-requested operational run:

  • exact paths
  • exact command(s) to run
  • expected signals for success/failure
  • idempotency strategy
  • rollback command.

For any code change:

  • file targets (absolute or repo-relative)
  • compatibility constraints
  • observability check to prove behavior.

Mac volume mounting note

  • Do not assume this is solved universally.
  • Treat macOS volume mount failures as environmental and include explicit mount/permission checks before retries.
  • If failures recur, route through retry + diagnostic signal collection before reattempt.

Trigger and detection notes

  • This is an intent skill: treat natural language variants as valid.
  • If user includes any of:

- "send to codex" - "prompt codex" - "use codex" - "ask codex" - "delegate to codex" - "run in codex" then route here first.

  • If phrasing is vague, ask one minimal clarification and keep the response minimal.

Quick command patterns

rg -n "toolName\\\":\\\"codex\\\"|send to codex|prompt codex|use codex|ask codex|delegate to codex|delegate this to codex|run this in codex|run in codex|handoff to codex|handoff this to codex|codex this" ~/.pi/agent/sessions
joelclaw status
joelclaw runs --count 10 --hours 24
joelclaw otel stats --hours 24

平台分布

Codex

33.59%
按下载量换算87

Claude

31.68%
按下载量换算82

Cursor

19%
按下载量换算49

Gemini CLI

10.49%
按下载量换算27

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/joelhooks/joelclaw --skill codex-prompting 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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