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skill-creator技能创建器

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

28,168

周安装

848

GitHub Stars

440

下载量

10,872
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

3

许可证

MIT

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-creator(技能创建器)
来源仓库:https://github.com/hoangnguyen0403/agent-skills-standard
仓库路径:skills/skill-creator
安装命令:
npx skills add https://github.com/hoangnguyen0403/agent-skills-standard --skill 'Skill Creator'
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/hoangnguyen0403/agent-skills-standard --skill 'Skill Creator'

简介

辅助安全审计、权限检查、凭据风险和认证流程排查。

  • 适合梳理敏感配置、检查依赖风险或分析鉴权逻辑。
  • 不能将工具输出直接当作最终结论,需人工复核。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。
  • 涉及密钥、令牌或生产系统时,应先确认最小权限和操作边界。
  • skill-creator 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Agent Skill Creator Standard

Priority: P0 (CRITICAL)

Strict guidelines for authoring High-Density Agent Skills. Maximize information density while minimizing token consumption through progressive disclosure and strategic content organization.

Core Principles

Token Economy First

Every word costs tokens. Design skills for maximum information/token ratio:

  • Progressive Loading: Load only essential content initially
  • Lazy References: Move detailed examples to references/ folder
  • Imperative Compression: Use verbs, abbreviations, bullet points
  • Context Window Awareness: Design for 4k-32k token limits across agents

Three-Level Loading System

Level 1: Metadata (100 words) → Always loaded
Level 2: SKILL.md Body (100 lines) → When triggered
Level 3: References/Scripts/Assets → As needed

Directory Structure

skills/
└── {category}/                     # e.g., "flutter" (lowercase)
    └── {skill-name}/               # e.g., "bloc-state-management" (kebab-case)
        ├── SKILL.md                # Core Logic (High Density, <100 lines)
        ├── scripts/                # Executable code (Deterministic tasks)
        │   └── automation.py
        ├── references/             # Heavy Examples (Lazy loaded)
        │   ├── patterns.md
        │   └── examples.md
        └── assets/                 # Output templates (Never loaded)
            └── template.json

Writing Rules (Token-Optimized)

  1. Imperative Compression: Start with verbs. No "Please/You should".

- *Waste*: "You should use BLoC for state management." (8 words) - *Efficient*: "Use BLoC for state management." (5 words)

  1. Token Economy: Maximize info/token ratio.

- Skip articles ("the", "a") if readable - Use standard abbreviations (cfg, param, impl) - Bullet points > paragraphs (3x density)

  1. Progressive Disclosure: Essential info first, details on-demand.

- Core workflow in SKILL.md - Complex examples in references/ - Templates/assets never loaded

  1. Context-Aware Design: Different agents have different limits.

- Cursor: ~100k tokens - Claude: ~200k tokens - Windsurf: ~32k tokens

Content Sections (Token-Budgeted)

Required sections in SKILL.md:

  1. Frontmatter (Mandatory): Metadata for triggering (100 words max) --- name: Skill Name description: What it does + when to use it (triggers activation) metadata: labels: [tag1, tag2] triggers: files: ['**/*.ext'] keywords: [term1, term2] ---
  2. Priority: P0 (Critical), P1 (Standard), or P2 (Optional)
  3. Structure: ASCII tree of expected file layout
  4. Guidelines: Bullet points of "Do this" (imperative)
  5. Anti-Patterns: Bullet points of "Don't do this"
  6. Reference Links: Links to references/ files (lazy loading)

Size Limits (Strict)

ElementLimitAction if Exceeded
SKILL.md total100 linesExtract to references/
Inline code block10 linesMove to references/
Anti-pattern item15 wordsCompress to imperative
Description after Priority0 linesRemove (use frontmatter)
Tables8 rowsExtract to references/
Explanatory sections10 linesExtract to references/

Resource Organization (Token-Saving)

scripts/ - Executable Code

When to use: Deterministic, repeated tasks Benefits: Never loaded into context, executed directly Examples: Code generators, formatters, validators

references/ - Documentation

When to use: Detailed examples, API docs, complex patterns Benefits: Loaded only when needed, keeps SKILL.md lean Examples: Implementation patterns, error handling guides

assets/ - Output Templates

When to use: Boilerplate files, images, configs Benefits: Never loaded, copied to output as-needed Examples: Project templates, config files, icons

Skill Creation Lifecycle

Phase 1: Understanding (Token Audit)

  1. Define concrete use cases
  2. Identify repetitive patterns
  3. Calculate token budget per agent

Phase 2: Planning (Resource Strategy)

  1. Core workflow → SKILL.md
  2. Complex examples → references/
  3. Repeated code → scripts/
  4. Templates → assets/

Phase 3: Implementation (Compression)

  1. Write imperative guidelines
  2. Compress examples to essentials
  3. Test context window fit

Phase 4: Validation (Token Testing)

  1. Verify loading efficiency
  2. Test across different agents
  3. Measure token consumption

Validation Checklist

Before finalizing, verify:

  • SKILL.md ≤100 lines (ideal: 40-60)
  • No inline code >10 lines
  • No repeated frontmatter content
  • Anti-patterns use strict format (see below)
  • Complex examples in references/
  • Tables >8 rows moved to references/
  • No description redundancy after Priority

Anti-Patterns (Token Wasters)

  • Verbose Explanations: "This is important because..." → Delete
  • Redundant Context: Same info in multiple places
  • Large Inline Code: Move code >10 lines to references/
  • Conversational Style: "Let's see how to..." → "Do this:"
  • Over-Engineering: Complex structure for simple skills
  • Redundant Descriptions: Do not repeat frontmatter description after ## Priority
  • Oversized Skills: SKILL.md >100 lines → Extract to references/
  • Nested Formatting: Avoid **Bold**: \More Bold`` - causes visual noise
  • Verbose Anti-Patterns: See strict format below

Anti-Pattern Format (Strict)

Format: **No X**: Do Y[, not Z]. [Optional context, max 15 words total]

Examples:

❌ Verbose (24 words):

- **No Manual Emit**: `**Avoid .then()**: Do not call emit() inside Future.then; always use await or emit.forEach.`

✅ Compressed (11 words):

- **No .then()**: Use `await` or `emit.forEach()` to emit states.

❌ Verbose (18 words):

- **No UI Logic**: `**Logic in Builder**: Do not perform calculations or data formatting inside BlocBuilder.`

✅ Compressed (9 words):

- **No Logic in Builder**: Perform calculations in BLoC, not UI.

Progressive Disclosure Checklist

Extract to references/ when:

  • Code examples >10 lines
  • Tables >8 rows
  • Explanatory sections >10 lines
  • Multiple code variants/alternatives
  • Detailed performance benchmarks
  • Step-by-step tutorials

Reference & Examples

Use the enhanced template below to generate new skills: references/TEMPLATE.md

For comprehensive lifecycle guidance: references/lifecycle.md

For resource organization patterns: references/resource-organization.md

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

04

需要参考平台分布和安装热度时

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

Claude Code

26.27%
按下载量换算2,856

Antigravity

23.82%
按下载量换算2,590

OpenCode

19.21%
按下载量换算2,089

Cursor

11.22%
按下载量换算1,220

Gemini CLI

7.87%
按下载量换算856

Codex

3.21%
按下载量换算349

安全审计

Gen Agent Trust Hub

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。来源字段存在多来源差异,先按来源优先级自动处理,无法消解时进入异常复核队列。

来源信息

继续浏览同类 Skills