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codex-skill-authoringCodex 技能 authoring

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

2,569

周安装

106

GitHub Stars

公开资料未说明

下载量

840
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-skill-authoring(Codex 技能 authoring)
来源仓库:https://github.com/eddieguan801-oss/codex-skill-authoring
安装命令:
openclaw skills install codex-skill-authoring
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-skill-authoring

简介

codex-skill-authoring 用于创建和编辑新的 AgentSkills。

  • 支持技能打包和分配审核流程。codex-skill-authoring 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装,需确认是否有文件创建和修改权限。
  • 适合技能库建设和团队协作开发场景。
  • 建议建立版本控制和变更审批机制。

SKILL.md

name
codex-skill-authoring
version
1.0.0
description
Create, edit, and package new AgentSkills. Use when asked to create a skill, build a skill, author a skill, or when需要对技能进行创建、打包或审核。Triggers on phrases like "create a skill", "author a skill", "build a skill", "package a skill", "审核技能", or any request to make a new skill from scratch. Supports Chinese and English requests.

Skill Authoring

Create modular, self-contained skills that extend agent capabilities.

The 6-Step Workflow

1. Understand → 2. Plan → 3. Init → 4. Edit → 5. Package → 6. Iterate

Step 1: Understand the Skill

Ask clarifying questions if needed. Understand:

  • What functionality should this skill support?
  • What are concrete usage examples?
  • What should trigger this skill?

When to skip: When usage patterns are already clear.

Step 2: Plan Reusable Contents

Identify what to bundle:

  • scripts/ — Executable code (Python/Bash) for deterministic tasks
  • references/ — Documentation to load when needed
  • assets/ — Files used in output (templates, icons)

Step 3: Initialize the Skill

Always use init_skill.py — never create manually:

python3 <skill-creator>/scripts/init_skill.py <name> --path <output-dir> --resources scripts,references,assets

Example:

python3 /usr/local/lib/node_modules/openclaw/skills/skill-creator/scripts/init_skill.py my-skill --path /var/root/.openclaw/workspace/skills --resources scripts,references

Step 4: Edit the Skill

SKILL.md Structure

---
name: skill-name
description: Clear description of what it does AND when to trigger it. Include Chinese triggers too.
---

# Skill Name

## Quick Start

## Details...

Naming Rules

  • Lowercase, hyphens only
  • Under 64 characters
  • Verb-led preferred (e.g., pdf-edit, list-skills)

Key Principles

  • Concise: Only add what the model doesn't already know
  • Progressive disclosure: Keep SKILL.md lean, put details in references/
  • Imperative mood: Use "do this" not "does this"

Step 5: Package the Skill

python3 <skill-creator>/scripts/package_skill.py <path/to/skill-folder>

Output: .skill file (zip format).

Validation runs automatically before packaging.

Step 6: Iterate

Test with real tasks, gather feedback, improve.

Skill Template

skill-name/
├── SKILL.md           # Required: name + description + instructions
├── scripts/           # Optional: executable code
├── references/        # Optional: load-as-needed docs
└── assets/            # Optional: output files

Quick Reference

ResourceWhen to Use
scripts/Same code rewritten repeatedly
references/Large docs the model should read on demand
assets/Templates, images, boilerplate

Keep SKILL.md under 500 lines. Move details to 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

89.11%
按下载量换算749

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。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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