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Agent Skill · 研究检索

open-agent-sdk(open Agent SDK 搜索)

open-agent-sdk 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

open-agent-sdk 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,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 11,534。

总安装 11,184周安装 466GitHub Stars 39下载 3,728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:open-agent-sdk(open Agent SDK 搜索)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/open-agent-sdk
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill open-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/aradotso/trending-skills --skill open-agent-sdk

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。

open-agent-sdk 用于查找和筛选相关信息。适合根据关键词快速定位候选结果。可结合任务场景调整检索策略。open-agent-sdk 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装前建议确认权限和维护状态。

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。注意可能触发的网络请求和数据访问。

来源仓库内路径:skills/open-agent-sdk

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/aradotso/trending-skills --skill open-agent-sd…;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

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

open-agent-sdk 怎么安装?

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

open-agent-sdk 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。

open-agent-sdk 需要什么权限?

权限级别是接触敏感数据。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。

open-agent-sdk 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。

open-agent-sdk 用的人多吗?

公开数据是累计安装 11,184 次,近一周安装 466 次,下载 3,728 次,GitHub 39 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。

open-agent-sdk 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
open-agent-sdk

open Agent SDK 搜索 · 本页

11,18439接触敏感数据未明确有提醒

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

Open Agent SDK

Skill by ara.so — Daily 2026 Skills collection.

Open Agent SDK (@shipany/open-agent-sdk) is a fully open-source, in-process AI agent framework for TypeScript/Node.js. It runs the complete Claude Code agent engine directly — no local CLI subprocess required — making it suitable for cloud servers, serverless functions, Docker containers, and CI/CD pipelines. It is API-compatible with @anthropic-ai/claude-agent-sdk.


Installation

npm install @shipany/open-agent-sdk

Requires Node.js 18+.


Authentication & Configuration

Set the Anthropic API key as an environment variable:

export ANTHROPIC_API_KEY=your-api-key

Or use a third-party provider (e.g. OpenRouter):

export ANTHROPIC_BASE_URL=https://openrouter.ai/api
export ANTHROPIC_API_KEY=your-openrouter-key
export ANTHROPIC_MODEL=anthropic/claude-sonnet-4-6

These can also be passed programmatically via options.env or apiKey/baseURL in createAgent().


Core API

query({prompt, options}) — Streaming, compatible with official SDK

Returns an AsyncGenerator<SDKMessage>. Drop-in replacement for @anthropic-ai/claude-agent-sdk.

import { query } from '@shipany/open-agent-sdk'

for await (const message of query({
  prompt: 'Find and fix the bug in auth.ts',
  options: {
    allowedTools: ['Read', 'Edit', 'Bash'],
    permissionMode: 'acceptEdits',
  },
})) {
  if (message.type === 'assistant' && message.message?.content) {
    for (const block of message.message.content) {
      if ('text' in block) process.stdout.write(block.text)
      else if ('name' in block) console.log(`\n[Tool used: ${block.name}]`)
    }
  } else if (message.type === 'result') {
    console.log(`\nDone: ${message.subtype}`)
  }
}

createAgent(options) — Reusable agent with session state

import { createAgent } from '@shipany/open-agent-sdk'

const agent = createAgent({
  model: 'claude-sonnet-4-6',
  systemPrompt: 'You are a senior TypeScript engineer. Be concise.',
  maxTurns: 20,
})

// Blocking call
const result = await agent.prompt('Read package.json and describe the project')
console.log(result.text)
console.log(`Tokens used: ${result.usage.input_tokens + result.usage.output_tokens}`)

// Streaming call
for await (const msg of agent.query('Now add JSDoc to all exported functions')) {
  if (msg.type === 'assistant' && msg.message?.content) {
    for (const block of msg.message.content) {
      if ('text' in block) process.stdout.write(block.text)
    }
  }
}

// Session management
const history = agent.getMessages()  // full conversation history
agent.clear()                        // reset session

Options Reference

OptionTypeDefaultDescription
modelstringclaude-sonnet-4-6Claude model ID
apiKeystringANTHROPIC_API_KEY envAPI key
baseURLstringAnthropic APIOverride for third-party providers
cwdstringprocess.cwd()Working directory for file/shell tools
systemPromptstring—Custom system prompt prepended to agent
toolsTool[]All built-inOverride the full tool list
allowedToolsstring[]allWhitelist specific tools by name
permissionModestringbypassPermissionsacceptEdits, bypassPermissions, plan, default
maxTurnsnumber100Maximum agentic loop iterations
maxBudgetUsdnumber—Spend cap in USD
mcpServersobject—MCP server configs (stdio/SSE/HTTP)
agentsobject—Named subagent definitions
hooksobject—Lifecycle hooks: PreToolUse, PostToolUse, Stop
thinkingobject—Extended thinking config
envobject—Environment variables passed to tools
resumestring—Resume prior session by session ID
canUseToolfunction—Custom permission callback (tool, input) => boolean
includePartialMessagesbooleanfalseEmit raw streaming events

Common Patterns

Multi-turn conversation with context

import { createAgent } from '@shipany/open-agent-sdk'

const agent = createAgent({ model: 'claude-sonnet-4-6' })

const r1 = await agent.prompt('Read src/index.ts and explain the architecture')
console.log(r1.text)

// Context from r1 is preserved automatically
const r2 = await agent.prompt('Refactor the error handling to use a Result type')
console.log(r2.text)

Restrict to read-only tools

import { query } from '@shipany/open-agent-sdk'

for await (const message of query({
  prompt: 'Review this codebase for security issues',
  options: {
    allowedTools: ['Read', 'Glob', 'Grep'],
    // No Write, Edit, or Bash — agent cannot modify files
  },
})) {
  if (message.type === 'result') console.log('Review complete')
}

Custom tools

import { createAgent, getAllBaseTools } from '@shipany/open-agent-sdk'

const dbQueryTool = {
  name: 'QueryDatabase',
  description: 'Run a read-only SQL query and return results as JSON',
  inputJSONSchema: {
    type: 'object',
    properties: {
      sql: { type: 'string', description: 'The SQL query to run' },
    },
    required: ['sql'],
  },
  get inputSchema() {
    return { safeParse: (v: unknown) => ({ success: true, data: v }) }
  },
  async prompt() { return this.description },
  async call(input: { sql: string }) {
    // Replace with your actual DB client
    const rows = [{ id: 1, name: 'Example' }]
    return { data: JSON.stringify(rows) }
  },
  userFacingName: () => 'QueryDatabase',
  isReadOnly: () => true,
  isConcurrencySafe: () => true,
  mapToolResultToToolResultBlockParam: (data: string, id: string) => ({
    type: 'tool_result' as const,
    tool_use_id: id,
    content: data,
  }),
}

const agent = createAgent({
  tools: [...getAllBaseTools(), dbQueryTool],
})

const result = await agent.prompt('How many users signed up in the last 7 days?')
console.log(result.text)

MCP server integration

import { createAgent } from '@shipany/open-agent-sdk'

const agent = createAgent({
  mcpServers: {
    filesystem: {
      command: 'npx',
      args: ['-y', '@modelcontextprotocol/server-filesystem', '/tmp'],
    },
    playwright: {
      command: 'npx',
      args: ['@playwright/mcp@latest'],
    },
  },
})

const result = await agent.prompt('List all .json files in /tmp')
console.log(result.text)

Subagents for parallel / delegated work

import { query } from '@shipany/open-agent-sdk'

for await (const message of query({
  prompt: 'Use the security-auditor agent to audit src/ for vulnerabilities',
  options: {
    allowedTools: ['Read', 'Glob', 'Grep', 'Agent'],
    agents: {
      'security-auditor': {
        description: 'Expert security auditor for TypeScript codebases.',
        prompt: 'Identify OWASP Top 10 vulnerabilities and suggest fixes.',
        tools: ['Read', 'Glob', 'Grep'],
      },
    },
  },
})) {
  if (message.type === 'assistant' && message.message?.content) {
    for (const block of message.message.content) {
      if ('text' in block) console.log(block.text)
    }
  }
}

Custom permission callback

import { createAgent } from '@shipany/open-agent-sdk'

const agent = createAgent({
  canUseTool: (toolName: string, input: unknown) => {
    // Prevent deletion commands
    if (toolName === 'Bash') {
      const cmd = (input as { command?: string }).command ?? ''
      if (cmd.includes('rm ') || cmd.includes('drop table')) return false
    }
    return true
  },
})

Lifecycle hooks

import { createAgent } from '@shipany/open-agent-sdk'

const agent = createAgent({
  hooks: {
    PreToolUse: async ({ tool, input }) => {
      console.log(`About to run tool: ${tool} with input:`, input)
    },
    PostToolUse: async ({ tool, output }) => {
      console.log(`Tool ${tool} finished`)
    },
    Stop: async ({ result }) => {
      console.log('Agent stopped. Final result:', result)
    },
  },
})

Resume a previous session

import { createAgent } from '@shipany/open-agent-sdk'

// First session
const agent1 = createAgent({ model: 'claude-sonnet-4-6' })
const r1 = await agent1.prompt('Read ARCHITECTURE.md')
const sessionId = r1.sessionId  // save this

// Later — resume where you left off
const agent2 = createAgent({
  model: 'claude-sonnet-4-6',
  resume: sessionId,
})
const r2 = await agent2.prompt('Now implement the TODO in section 3')

Built-in Tools Reference

ToolRead-onlyDescription
Read✅Read files, images, PDFs with line numbers
Glob✅Find files by glob pattern
Grep✅Search file contents with regex (uses ripgrep)
WebFetch✅Fetch and parse web pages
WebSearch✅Web search
Write❌Create or overwrite files
Edit❌Precise string replacement in files
Bash❌Execute shell commands
Agent—Spawn subagents
TodoWrite❌Manage todo lists
NotebookEdit❌Edit Jupyter notebooks
TaskCreate/Update/List—Task management
TeamCreate/Delete—Agent team management
EnterPlanMode/ExitPlanMode—Plan approval workflow
EnterWorktree/ExitWorktree—Git worktree isolation
ListMcpResources/ReadMcpResource✅MCP resource access

Architecture: How It Differs from Official SDK

Official @anthropic-ai/claude-agent-sdk:

Your code → SDK → spawn cli.js subprocess → stdin/stdout JSON → Anthropic API

Open Agent SDK:

Your code → SDK → QueryEngine (in-process) → Anthropic API (direct HTTP)

This means:

  • No CLI installation required in the deployment environment
  • Works in serverless (AWS Lambda, Vercel, Cloudflare Workers with Node.js compat)
  • Works in Docker with just npm install
  • Works in CI/CD without CLI setup steps
  • Programmatic access to the full agent engine

Troubleshooting

Error: ANTHROPIC_API_KEY is not set → Export the env var or pass apiKey directly in createAgent({apiKey: process.env.MY_KEY}).

Agent exceeds maxTurns without completing → Increase maxTurns or narrow the task. Check message.subtype === 'max_turns' in the result.

Tool not found / allowedTools not working → Tool names are case-sensitive: 'Read', 'Edit', 'Bash', 'Glob', 'Grep', 'WebFetch', etc.

Using with OpenRouter or other providers → Set ANTHROPIC_BASE_URL to the provider's base URL and use their model string format, e.g. anthropic/claude-sonnet-4-6 for OpenRouter.

Agent modifies files unexpectedly → Use allowedTools: ['Read', 'Glob', 'Grep'] to restrict to read-only tools, or set permissionMode: 'plan' to require approval before edits.

MCP server fails to start → Ensure the MCP server package is installed or accessible via npx. Check command and args match what the MCP package expects.

TypeScript types missing → The package ships its own types. Ensure "moduleResolution": "bundler" or "node16" in tsconfig.json and "esModuleInterop": true.


Quick Reference

// Minimal one-shot agent
import { createAgent } from '@shipany/open-agent-sdk'
const agent = createAgent({ model: 'claude-sonnet-4-6' })
const { text } = await agent.prompt('Summarize README.md in 3 bullet points')
console.log(text)

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

Codex

38.32%
按下载量换算1,429

Claude

26.8%
按下载量换算999

Cursor

18.17%
按下载量换算677

Gemini CLI

8.99%
按下载量换算335

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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