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skill-authoring技能创作

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

196

周安装

8

GitHub Stars

公开资料未说明

下载量

63
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:skill-authoring(技能创作)
来源仓库:https://github.com/contextware/skills
仓库路径:skills/skill-authoring
安装命令:
npx skills add https://github.com/contextware/skills --skill 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 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/contextware/skills --skill skill-authoring

简介

skill-authoring 协助创建跨平台、无感知于特定 Agent 的技能模板。

  • 适用于自定义工具封装与标准化输出格式设计,提升技能可维护性。
  • 要求遵循 SKILL_AUTHORING.md 规范,明确输入输出与脚本职责划分。
  • 发布前应严格审查敏感信息暴露风险,避免凭据硬编码或越权操作。
  • 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。

SKILL.md

Skill Authoring Skill

This skill helps you author new skills that are cross-platform and agent-agnostic. Use this when creating or reviewing skill definitions.

Prerequisites

Required Reading: Review the SKILL_AUTHORING.md guidelines for comprehensive authoring practices.

Workflow

Phase 1: Understand the Goal

Before writing a skill, clarify:

  1. What capability does this skill provide?
  2. What prerequisites are needed (env vars, runtime, MCP servers)?
  3. What scripts are needed to perform the work?
  4. What output should the agent produce?

Phase 2: Create the SKILL.md Structure

Every skill needs a SKILL.md file with frontmatter:

---
name: skill-name
description: Brief description
version: 1.0.0
mcp-servers: ["server-name"]  # Required MCP servers, use [] if none needed
allowed-tools: [tool1, tool2] # Tools the skill uses, enables lazy loading
tags: [category, ...]
---
[!IMPORTANT] Always specify mcp-servers and allowed-tools! - If your skill needs NO MCP servers, use mcp-servers: [] - If your skill only needs specific tools, list them in allowed-tools Without these fields, the agent falls into "Legacy Mode" which connects to ALL MCP servers, wasting resources and causing unnecessary connection errors.

Phase 3: Write the Workflow

Use these core principles:

  1. Describe WHAT, not HOW - Say what needs to happen, not tool-specific syntax
  2. Use natural language - Any agent should be able to read and follow
  3. Bundle self-contained scripts - No external dependencies
  4. Declare requirements - Use frontmatter for machine-readable deps
  5. Provide platform hints - But as suggestions, not requirements
  6. Include reference MCP server URLs - So agents without their own server can still proceed (see below)

Phase 4: Create Bundled Scripts

Place scripts in the scripts/ subdirectory. Scripts should:

  • Use only built-in runtime features (Node.js fetch, fs, path)
  • Accept input via command-line arguments and environment variables
  • Output JSON to stdout
  • Use proper exit codes (0 = success, 1 = error)

Phase 5: Add Platform Adaptation Notes

If your skill has platform-specific considerations (like MCP configuration), add a section:

## Platform Adaptation Notes

### Dynamic MCP Support
For agents that can add MCP servers during a session...

### Static MCP Configuration
For agents requiring config file + restart...

Phase 6: Document MCP Server URLs for Portability

Skills that depend on MCP servers must help other agents find and connect to the right server. The agent consuming your skill may not have the same MCP servers configured locally.

The pattern: Describe what capabilities are needed, list the required tools, and provide a reference MCP server URL as a working default. Be permissive — let the consuming agent decide whether to use its own local server or the reference one.

When writing the MCP Server Requirements section of your skill, use this pattern:

## MCP Server Requirements

This skill requires an MCP server that provides **[capability description]** (e.g., incident management, CRM integration).

**Required tools:** `toolA`, `toolB`, `toolC`

**Reference MCP Server:**
If you do not already have a locally configured MCP server that provides these tools, you can use the following reference endpoint:
- Transport: HTTP
- URL: `https://<server-name>.mcpgateway.online/mcp`

If you have your own MCP server that provides equivalent functionality, use that instead.

Why this matters: Without a reference URL, agents that don't have the server configured locally will stall — they have no way to proceed. With a reference URL, any agent can pick up the skill and start working immediately.

Key principles:

  • Be permissive: Don't insist agents use the reference URL. If they have a local match, that's fine.
  • Don't be directive: Don't tell agents they "must find their own server URL first" — this causes them to pick the wrong server or get stuck searching.
  • Describe capability, not identity: Focus on what tools are needed, not a specific server name. This allows agents to match against their own servers by capability.

Patterns to Avoid

❌ Avoid✅ Use Instead
create_sandbox({skillId: "..."})"Run the bundled script"
jq '.mcpServers =...' ~/.claude.json"Add to your MCP configuration"
Specific config file paths"Update your agent's MCP settings"
Tool-specific syntaxNatural language descriptions

Patterns to Use

PatternExample
Script execution"Run scripts/check-auth.js hubspot"
JSON contracts"The script outputs JSON with {status, data}"
Declarative MCP"Requires the 'nango' MCP server (HTTP transport)"
Capability hints"For agents with dynamic MCP support..."
User-blocking actions"Present the auth URL, then STOP AND WAIT for user confirmation"
Reference MCP URLs"If you don't have a local server with these tools, use this reference endpoint:..."
TMF Field Mapping"Use atType instead of @type for TMF OpenAPI fields"
[!TIP] TMF Standards Special Handling: For any skill related to TMF standards, always include advice that field names starting with @ (e.g., @type, @schemaLocation) are mapped to an at prefix (e.g., atType, atSchemaLocation) in the MCP middleware to ensure compatibility with AI agents.

Example: Good vs Bad

❌ Bad (Platform-Specific)

Create a Vercel sandbox using create_sandbox tool, then run:
run_command({ command: "node", args: ["scripts/auth.js"] })

✅ Good (Portable)

Run the bundled `scripts/auth.js` script with the provider name.
The script outputs JSON indicating authentication status.

Checklist Before Publishing

  • mcp-servers specified (use [] if none needed)
  • allowed-tools specified (enables lazy loading)
  • No platform-specific tool syntax in SKILL.md
  • No hardcoded config file paths
  • Scripts use only standard runtime features
  • MCP requirements documented declaratively with reference URL
  • Natural language workflow descriptions
  • Platform Adaptation Notes included (if applicable)
  • User-blocking actions have explicit STOP AND WAIT instructions
  • Tested on at least one agent platform

Resources

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

38.29%
按下载量换算24

Claude

28.84%
按下载量换算18

Cursor

18%
按下载量换算11

Gemini CLI

9.54%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。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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