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研究检索敏感数据github未标认证来源可访问许可证需确认审计异常

agent-sdkAgent SDK 搜索

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

742

周安装

30

GitHub Stars

37

下载量

233
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:agent-sdk(Agent SDK 搜索)
来源仓库:https://github.com/majesticlabs-dev/majestic-marketplace
仓库路径:skills/agent-sdk
安装命令:
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill agent-sdk
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/majesticlabs-dev/majestic-marketplace --skill agent-sdk

简介

用于辅助测试设计、自动化测试、用例整理和回归验证。

  • 适合编写单元测试、端到端测试、测试计划或根据失败日志定位问题。
  • 使用时需确认项目测试框架、运行命令和夹具数据。
  • 涉及浏览器或外部服务时应区分本地模拟、测试环境与生产环境。
  • agent-sdk 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Claude Agent SDK Guide

Build custom AI agents powered by Claude. Same infrastructure as Claude Code.

Installation

TypeScript

npm install @anthropic-ai/claude-agent-sdk

Python

pip install claude-agent-sdk

Core Features

Context Management

Automatic compaction ensures your agent doesn't run out of context during extended operations.

Tool Ecosystem

Built-in capabilities:

  • File operations - Read, write, edit files
  • Code execution - Run bash commands safely
  • Web search - Access real-time information
  • MCP extensibility - Add custom tools via Model Context Protocol

Permission Controls

{
  allowedTools: ['Read', 'Write', 'Bash'],  // Explicit allowlist
  disallowedTools: ['WebSearch'],            // Explicit blocklist
  permissionMode: 'default' | 'strict'       // Overall strategy
}

Authentication Providers

Anthropic API (Default)

export ANTHROPIC_API_KEY=sk-ant-...

Amazon Bedrock

export CLAUDE_CODE_USE_BEDROCK=1
export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_REGION=us-east-1

Google Vertex AI

export CLAUDE_CODE_USE_VERTEX=1
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/credentials.json
export VERTEX_REGION=us-central1
export VERTEX_PROJECT_ID=your-project

Microsoft Foundry

export CLAUDE_CODE_USE_FOUNDRY=1
# Azure credentials configuration

File-Based Configuration

DirectoryPurpose
.claude/agents/Subagent definitions (Markdown)
.claude/skills/Skill files (SKILL.md)
.claude/commands/Slash commands (Markdown)
.claude/settings.jsonHooks configuration
CLAUDE.mdProject memory/context

Enable project settings:

{
  settingSources: ['project']
}

Code Examples

TypeScript: Basic Agent

import { Agent } from '@anthropic-ai/claude-agent-sdk';

const agent = new Agent({
  model: 'claude-sonnet-4-20250514',
  allowedTools: ['Read', 'Write', 'Bash'],
  systemPrompt: `You are a code review assistant.
    Analyze code for bugs, security issues, and best practices.`,
});

const result = await agent.run({
  prompt: 'Review the code in src/auth.ts for security issues',
});

console.log(result.output);

TypeScript: Agent with MCP Tools

import { Agent } from '@anthropic-ai/claude-agent-sdk';

const agent = new Agent({
  model: 'claude-sonnet-4-20250514',
  mcpServers: {
    database: {
      command: 'npx',
      args: ['-y', '@modelcontextprotocol/server-postgres'],
      env: { DATABASE_URL: process.env.DATABASE_URL },
    },
  },
});

const result = await agent.run({
  prompt: 'List all users who signed up in the last 24 hours',
});

Python: Basic Agent

from claude_agent_sdk import Agent

agent = Agent(
    model="claude-sonnet-4-20250514",
    allowed_tools=["Read", "Write", "Bash"],
    system_prompt="""You are a code review assistant.
    Analyze code for bugs, security issues, and best practices.""",
)

result = agent.run(
    prompt="Review the code in src/auth.py for security issues"
)

print(result.output)

Python: Agent with Custom Permissions

from claude_agent_sdk import Agent, PermissionMode

agent = Agent(
    model="claude-sonnet-4-20250514",
    permission_mode=PermissionMode.STRICT,
    allowed_tools=["Read", "Grep", "Glob"],
    disallowed_tools=["Bash"],  # Extra safety
)

result = agent.run(
    prompt="Find all TODO comments in the codebase"
)

Agent Types & Use Cases

Coding Agents

  • SRE Diagnostics - Analyze logs, identify issues, suggest fixes
  • Security Auditing - Scan for vulnerabilities, check dependencies
  • Incident Triage - Correlate alerts, gather context, draft runbooks
  • Code Review - Enforce standards, catch bugs, suggest improvements

Business Agents

  • Legal Review - Analyze contracts, flag risks, summarize terms
  • Financial Analysis - Process reports, identify anomalies, forecast
  • Customer Support - Handle tickets, route issues, draft responses
  • Content Creation - Generate docs, edit copy, ensure consistency

Best Practices

Start Simple

Begin with minimal tool access and expand as needed:

// Start here
allowedTools: ['Read']

// Then add as required
allowedTools: ['Read', 'Grep', 'Glob']

// Only if truly needed
allowedTools: ['Read', 'Write', 'Bash']

Use Subagents for Complex Tasks

Break large tasks into specialized subagents:

.claude/agents/
├── code-reviewer.md      # Reviews code changes
├── test-writer.md        # Generates tests
└── doc-generator.md      # Creates documentation

Handle Errors Gracefully

try {
  const result = await agent.run({ prompt });
  if (result.error) {
    console.error('Agent error:', result.error);
  }
} catch (error) {
  console.error('SDK error:', error);
}

Monitor Agent Behavior

const agent = new Agent({
  onToolUse: (tool, input) => {
    console.log(`Tool: ${tool}, Input: ${JSON.stringify(input)}`);
  },
  onThinking: (thought) => {
    console.log(`Thinking: ${thought}`);
  },
});

Project Scaffolding

Use /agent-sdk:agent-scaffold command to generate a new project.

Template Files

TemplatePurpose
assets/typescript/package.jsonNode.js package config
scripts/typescript/agent.tsTypeScript agent entry
assets/python/pyproject.tomlPython package config
scripts/python/agent.pyPython agent entry
assets/env-*.exampleProvider config templates
references/claude/*.mdSubagent/skill/command templates

Tool Mapping

User SelectionSDK Tools
File OperationsRead, Write, Edit, Glob, Grep
Code ExecutionBash
Web SearchWebSearch, WebFetch
MCP Tools(configured via mcpServers)

System Prompts

Coding Agent:

You are a coding assistant that helps developers write better code.
Analyze code for bugs, security issues, and best practices.

Business Agent:

You are a business analyst assistant.
Help with document analysis, data extraction, and report generation.

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

32.99%
按下载量换算77

Claude

31.65%
按下载量换算74

Cursor

18.94%
按下载量换算44

Gemini CLI

10.27%
按下载量换算24

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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

继续浏览同类 Skills