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Agent Skill · 研究检索

skill-authoring(技能创作)

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。

skill-authoring 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 69,971。

总安装 214周安装 9GitHub Stars 10下载 75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:skill-authoring(技能创作)
来源仓库:https://github.com/aspiers/ai-config
仓库路径:skills/skill-authoring
安装命令:
npx skills add https://github.com/aspiers/ai-config --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/aspiers/ai-config --skill skill-authoring

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

skill-authoring 用于创建符合 Anthropic 官方最佳实践的 Claude Code 技能模板与结构指南。适用于从零开始构建技能、优化现有技能结构或排查技能发现与性能问题。强调简洁高效,避免冗余解释,聚焦核心功能与 token 经济性原则。

输出仅为参考框架,实际部署前需结合具体用例验证其适用性与安全性边界。不得将工具建议直接当作生产级解决方案,尤其涉及密钥、用户数据等高风险场景。

来源仓库内路径:skills/skill-authoring

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/aspiers/ai-config --skill skill-authoring;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-authoring 怎么安装?

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

skill-authoring 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。

skill-authoring 需要什么权限?

权限级别是只读。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。

skill-authoring 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。

skill-authoring 用的人多吗?

公开数据是累计安装 214 次,近一周安装 9 次,下载 75 次,GitHub 10 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。

skill-authoring 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 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。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
skill-authoring

技能创作 · 本页

21410只读未明确通过

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

Skill Authoring

Create effective Claude Code skills that follow Anthropic's official best practices and guidelines.

When to Use This Skill

Use this skill when:

  • Creating new skills from scratch
  • Refactoring existing skills for better structure
  • Ensuring skills follow Anthropic guidelines
  • Troubleshooting skill discovery or performance issues
  • Optimizing skills for token efficiency

Core Principles

1. Concise is Key

  • Context window is shared - be economical with tokens
  • Assume Claude is already smart - don't over-explain basics
  • Challenge every piece of information: "Does this justify its token cost?"

2. Progressive Disclosure

Skills load in three tiers:

  • Level 1: Metadata (name/description) - always loaded (~100 tokens/skill)
  • Level 2: SKILL.md body - loaded when triggered (<500 lines recommended)
  • Level 3: Reference files/scripts - loaded/executed as needed

3. Appropriate Freedom Levels

  • High freedom: Text instructions for flexible, context-dependent tasks
  • Medium freedom: Parameterized scripts with some variation
  • Low freedom: Specific scripts for fragile, error-prone operations

Skill Structure

Required Files

Each skill is a directory containing a SKILL.md file. Multiple locations are scanned, in order of preference:

Project-local (walked up from cwd to git worktree root):

  • .agents/skills/<name>/SKILL.md — preferred cross-platform standard
  • .claude/skills/<name>/SKILL.md — Claude-compatible
  • .opencode/skills/<name>/SKILL.md — OpenCode-specific

Global (user home):

  • ~/.agents/skills/<name>/SKILL.md
  • ~/.claude/skills/<name>/SKILL.md
  • ~/.config/opencode/skills/<name>/SKILL.md

Use .agents/skills/ for new skills — it is the emerging cross-platform standard supported by Claude Code, OpenCode, and other agents.

.agents/skills/skill-name/
├── SKILL.md (required - instructions + metadata)
└── Optional bundled resources:
    ├── scripts/     - Executable code (Python/Bash/etc.)
    ├── references/  - Documentation loaded as needed
    └── assets/      - Files for output (templates, images)

YAML Frontmatter Requirements

---
name: skill-name-here          # lowercase, hyphens, max 64 chars
description: What + When       # max 1024 chars, include trigger contexts
---

Critical: Description must include both WHAT the skill does AND WHEN to use it. Include:

  • Task types (create, analyze, process)
  • File types (.pdf,.docx,.json)
  • Keywords users might mention
  • Specific trigger contexts

Example SKILL.md

N.B. The following example is indented here so that triple backticks can be included within the example, but when creating / editing a SKILL.md, most of it should not be indented.

Note also that SKILL.md files do not necessarily need to provide and use helper tools; however it's included this example skill for illustrative purposes.

---
name: example-skill
description: Process example files with specific formatting. Use when users mention examples, processing, or .example files.
---

# Example Skill

Process example files following consistent patterns.

## When to Use This Skill

- When processing .example files
- When users ask about example formatting
- When converting example formats

## How It Works

1. Read the input file using the example-parser tool
2. Apply formatting rules from references/rules.md
3. Write output to destination

## Usage

python scripts/process_example.py input.example output.txt


## How to use the example-parser tool

from example_parser import parse

result = parse("data.example") print(result.summary)


## Reference Files

- [Formatting Rules](references/rules.md)
- [Parser Documentation](references/parser.md)

Best Practices

Naming Conventions

Use gerunds or gerundial nouns:

  • Gerunds (verb + -ing): processing-pdfs, analyzing-spreadsheets, managing-databases
  • Gerundial nouns (verb-derived nouns): generation, authoring, initialization, management
  • ✅ processing-pdfs, generating-prps, authoring-skills
  • ❌ pdf-helper, data-utils, skill-creator

Writing Effective Descriptions

  • Write in third person (not "I can help" but "Processes files")
  • Include specific triggers: "Use when working with PDF files or when users mention PDFs, forms, or document extraction"
  • Be specific about capabilities and contexts

Progressive Disclosure Patterns

High-Level Guide with References
# PDF Processing

## Quick start

Extract text with pdfplumber:

import pdfplumber with pdfplumber.open("file.pdf") as pdf: text = pdf.pages[0].extract_text()


## Common Anti-Patterns to Avoid

### Over-Verbose Instructions

- ❌ Paragraphs explaining basic concepts Claude knows
- ✅ Concise examples that demonstrate patterns

### Deep Reference Nesting

- ❌ SKILL.md → file1.md → file2.md → file3.md
- ✅ SKILL.md → file1.md, file2.md, file3.md (one level deep)

### Time-Sensitive Content

- ❌ "Current best practice as of 2025"
- ✅ "Current best practice (see [UPDATES.md](https://github.com/aspiers/ai-config/blob/HEAD/.agents/skills/skill-authoring/references/updates.md))"

### Windows Path Usage

- ❌ `scripts\helper.py`
- ✅ `scripts/helper.py`

## Executable Scripts Best Practices

### Solve Problems, Don't Punt

Handle errors explicitly rather than letting Claude figure it out:

Good: Handle file not found

def process_file(path): try: with open(path) as f: return f.read() except FileNotFoundError: print(f"File {path} not found, creating default") with open(path, 'w') as f: f.write('') return ''


### Provide Utility Scripts

Pre-made scripts offer advantages:

- More reliable than generated code
- Save tokens (no need to load contents)
- Ensure consistency across uses

## References

For complete official guidelines, see:

- [Anthropic Skill Authoring Best Practices](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/best-practices)
- [Skills Overview](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview)
- [Progressive Disclosure Architecture](https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview#how-skills-work)

平台分布

Codex

38.91%
按下载量换算29

Claude

30.3%
按下载量换算23

Cursor

18.75%
按下载量换算14

Gemini CLI

9.82%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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