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agent-toolkit-for-aws

Official, AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS

awsaws
87/ 100

公开评测 · 综合采用结论

证据充分,整体质量与安全表现优秀

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
3.3kstars
416forks
最近更新 14天前
评测生成时间(北京时间)
本报告引擎
v3.17.3
当前引擎
v3.17.3

规则版本一致,但报告只反映生成时的证据,不代表项目代码和安全状态始终不变。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

核对代码版本与送评文本摘要

仅记录实际送评的受限文本,不是完整仓库审计、安装结果或运行时安全保证。Stars、下载量和仓库元数据为采集时的独立信号,不属于此 commit 快照。

aws/agent-toolkit-for-aws @ b08b99f38098c30c0ee1a781accd8e349e5b145c

目录树:f578c35b103002ca95010781a85790ef4d16053c

README 来源:README.md

  • README.md · 15553 字符
    SHA-256: 350117971f6132849e675ec7f3af0996c644b6e52f577bb31f05b024e823c6a9
  • skills/core-skills/amazon-bedrock/SKILL.md · 36421 字符
    SHA-256: 354f3a070e40ee1862a7a58d0fc3e25d19e4a20aa7702b58bf58efa6690ee7cd
  • skills/core-skills/aws-ai-ml/SKILL.md · 8287 字符
    SHA-256: cc15e7902110b21327591708ac96283e9b0cf5dedd8045f99e9a7939e8a9a6af
  • skills/core-skills/aws-auth/SKILL.md · 13752 字符
    SHA-256: 84cb82cf6c23196f203a16ccdcb63d4f688b2da2aa649339600fe80c1ac9c332
  • skills/core-skills/aws-billing-and-cost-management/SKILL.md · 9076 字符
    SHA-256: d631ab1017bb779fd0b00ddd8b032e18652f2fa2fc1c232b64335d383151bdd1
  • skills/core-skills/aws-blocks/SKILL.md · 4831 字符
    SHA-256: 5ccde623192be25a059a4bd20fc054a8a7577ecbfd8658f3b53d8717b8b83ea1
  • skills/core-skills/aws-cdk/SKILL.md · 8853 字符
    SHA-256: af178f8e909efd66496b09c7301c5e11ef96681fd62bf91406dcb340a18aacf6
  • skills/core-skills/aws-cloudformation/SKILL.md · 14470 字符
    SHA-256: 4c58cdf1e1532d9fab6cfc98de2b0cfb0d171fc414bb0032dbe5f4dfe01872be
  • skills/core-skills/aws-compute/SKILL.md · 8880 字符
    SHA-256: b425842b6e3c8f679490eb064a2a6770f252473b610a5b4bd2072f23f62c3154
  • skills/core-skills/aws-containers/SKILL.md · 6648 字符
    SHA-256: 5f91152d1eb0bc3d7bc324134b278268b3558fee6fefabb8f263aaa34f4c16d9
  • skills/core-skills/aws-database/SKILL.md · 7902 字符
    SHA-256: a922c912d76a54ce56e5ad08ad8838081691f06bb262cb9a41386215d19a6df4
  • skills/core-skills/aws-deployment/SKILL.md · 7139 字符
    SHA-256: 853a61df0e3535032a4ed5af20d9e7395cafc2f6ad98aa17e63d5a1430a0b161
  • skills/core-skills/aws-iam/SKILL.md · 7362 字符
    SHA-256: 27f4733539913bf46e6ab23cc4aee00e7973c15e876c25bf86bac6dc9cb5057f
  • skills/core-skills/aws-messaging-and-streaming/SKILL.md · 12418 字符
    SHA-256: b96708d32b0090fd86a14d5a20812a6aac7002b4500d7745531f9a734a926bfe
  • skills/core-skills/aws-networking/SKILL.md · 11529 字符
    SHA-256: b938475d1df74ddcba3e533f603f8f51394e842d7f5c3f23a675b2b564d91f3f
  • skills/core-skills/aws-observability/SKILL.md · 37807 字符
    SHA-256: 0391b8b79ded7b16087b70cbd0a290fb11a217541b1de4f065a11943bc1e3081
  • skills/core-skills/aws-sdk-js-v3-usage/SKILL.md · 8681 字符
    SHA-256: 284d906014bea8c91a81cf60af7214b69168292c087702959a29b4e86de04fe2
  • skills/core-skills/aws-sdk-python-usage/SKILL.md · 8202 字符
    SHA-256: f4e0bfd87dfcd08d7af75b1b5940071e479f4e5607da4fc45c4c8c3d12ba6d70
  • skills/core-skills/aws-sdk-swift-usage/SKILL.md · 5044 字符
    SHA-256: d9317649ccf487f82e4453b9ec82251ba98157e55711b721d7db73454be7f78a
  • skills/core-skills/aws-security/SKILL.md · 16336 字符
    SHA-256: 1967fdc122c2a1be247301a81e157eae52cf5a005936d4185a3d8e2d98a73624
  • skills/core-skills/aws-serverless/SKILL.md · 37345 字符
    SHA-256: bf54ee7adfbc383de6dd725d676b4acc9d46582fc111d9fda748c5c27ff00515
  • skills/core-skills/aws-storage/SKILL.md · 23076 字符
    SHA-256: e7a36784769c5dbde186706622c72df952cebbede816ff8e71413a504e819462
  • skills/core-skills/aws-well-architected-review/SKILL.md · 11879 字符
    SHA-256: aa8fef39ef6d64365e48827d9acc90b2b8755023f5c177341cf1c954c1057811
  • skills/core-skills/launch-with-aws/SKILL.md · 13723 字符
    SHA-256: 55334c4740470c1244654bf88f9c726177ae13fa840447f13d8b2b1653552c35
  • skills/core-skills/signing-in-to-aws/SKILL.md · 6830 字符
    SHA-256: 9d7bd588b1328d96c3999b84f00b851ef59531a9627aa6cd2279bb90a75a9db5

摘要对应送评 UTF-8 文本,可能为限额节选,不等于 Git blob SHA。来源由采集方提供,摘要本身不证明来源真实性。

Evaluation report

综合采用结论

87
A
满分 100 · 静态采用参考
值得推荐低风险
决策摘要

证据充分,整体质量与安全表现优秀

100%
高置信度
83
文档
100
安全
83
质量
100
活跃
57
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+25/2512,298 个去重后的有效字符
  • 独立证据来源+20/205 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核

本报告评了什么

综合分用于静态采用筛选,不是任务成功率,也不代表使用 Skill 后的能力提升。

静态检查范围
记录 25 个文件 · 342,044 字符
只检查采集到的受限文本与已知风险模式;未读取的脚本、依赖和运行环境不在结论内。
AI 内容复核
已使用
复核送评文本的说明和设计,不是安装测试或实际任务执行。记录缺失时不推断已使用或未使用。
真实任务效果
本报告未提供实测证据
没有使用/不使用 Skill 的任务对照、重复运行或耗时与 token 成本结果。采用前仍需在隔离环境验证自己的任务。

脚本引用覆盖

已纳入文本静态扫描 0 项/未纳入 1 项

被选 Skill:skills/core-skills/amazon-bedrock/SKILL.md

仅检查被选 Skill 的直接脚本引用,一跳读取,不跟进 imports 或依赖;不执行脚本,脚本文本不送入 AI 质量复核。已纳入只表示文本已扫描,不代表安全。

仅统计本记录中的可识别引用;未纳入或未记录的部分保持未知,不按安全通过处理。

查看 1 项引用明细
  1. 1. 路径不符合边界

    引用位置:skills/core-skills/amazon-bedrock/SKILL.md:20

    引用不是允许的仓库相对路径。

How it works · 流程图

Bedrock 技能加载与工作流路由

SKILL.md 描述从加载方式判定到读取参考文件、执行工作流的连续步骤

AI 提取 · 证据约束

左右滑动查看完整图示

Bedrock 技能加载与工作流路由SKILL.md 描述从加载方式判定到读取参考文件、执行工作流的连续步骤确定来源MCP或本地读取按意图匹配执行命令技能加载入口判定加载方式分支获取参考文件步骤意图路由步骤执行工作流步骤
图示依据
  • • SKILL.md Guardrail 章节:MCP 用 retrieve_skill,本地用相对路径
  • • SKILL.md Examples:用户查询映射到具体工作流与参考文件
五维表现
面向 AWS 编码代理的工具包,覆盖多代理安装与 Bedrock 技能,场景具体、示例可验证;最大缺口是缺少输出/结果说明与错误排障的完整闭环,部分内容依赖外部文档。
质量证据
  • 通过: Agent Skills 格式校验 24/24 个通过
  • 通过: 24 个有效 Skill 含可核实的指令步骤或示例
  • 质量评审选取 skills/core-skills/amazon-bedrock/SKILL.md;其余 23 个仅做格式扫描
  • README Quick start:`/plugin install aws-core@claude-plugins-official` 等分代理安装命令
  • SKILL.md Guardrail 章节:区分 `retrieve_skill` 工具加载与本地 `.kiro/skills/` 安装两种文件解析路径
  • SKILL.md Critical Warnings:未设 maxTokens 默认取模型最大值导致 ThrottlingException
  • SKILL.md Troubleshooting:错误重试分类表(ThrottlingException 可重试,ValidationException 不可)
  • README License:Apache-2.0
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 通过: Agent Skills 格式校验 24/24 个通过
关注点
  • skills/core-skills/aws-billing-and-cost-management/SKILL.md:description 未清楚说明何时使用该 Skill
  • skills/core-skills/aws-cloudformation/SKILL.md:description 未清楚说明何时使用该 Skill
  • skills/core-skills/aws-compute/SKILL.md:description 未清楚说明何时使用该 Skill
  • skills/core-skills/aws-observability/SKILL.md:description 未清楚说明何时使用该 Skill
  • skills/core-skills/aws-serverless/SKILL.md:description 未清楚说明何时使用该 Skill
适合

使用 Claude Code/Cursor/Kiro 等代理构建 AWS 应用的开发者、需要 Bedrock 模型调用、RAG、AgentCore 部署指导的团队、希望用统一插件接入 AWS MCP Server 的用户

不建议直接用于

需要完全离线、无 AWS 凭证即可运行核心功能的场景、自定义模型训练、Rekognition、Comprehend 等技能明确排除的任务

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
83/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
低风险
未发现已知高风险模式

静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。

优先改进清单
  1. 01修复 skills/core-skills/aws-billing-and-cost-management/SKILL.md:description 未清楚说明何时使用该 Skill
  2. 02修复 skills/core-skills/aws-cloudformation/SKILL.md:description 未清楚说明何时使用该 Skill
  3. 03修复 skills/core-skills/aws-compute/SKILL.md:description 未清楚说明何时使用该 Skill
  4. 04修复 skills/core-skills/aws-observability/SKILL.md:description 未清楚说明何时使用该 Skill
  5. 05修复 skills/core-skills/aws-serverless/SKILL.md:description 未清楚说明何时使用该 Skill
  6. 06修复 skills/core-skills/aws-well-architected-review/SKILL.md:description 未清楚说明何时使用该 Skill
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

25 个文件 · 342,044 字符

评测引擎

v3.17.3 · AI 内容复核:已使用(deepseek-flash)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量
  • 脚本覆盖仅针对被选 Skill 中可识别的直接引用;不递归分析依赖,不执行脚本,脚本未送入 AI 质量复核
  • 发现 24 个 Skill;质量复核只评审 skills/core-skills/amazon-bedrock/SKILL.md,其余 23 个仅做格式扫描

30 天热度趋势

README

Agent Toolkit for AWS

License Build Status

Help AI coding agents build, deploy, and manage applications on AWS.

The Agent Toolkit for AWS gives AI coding agents the tools, knowledge, and guardrails they need to work with AWS services. It works with the coding agents developers already use — including Claude Code, Codex, Cursor, Devin, Kiro, and fx.

Quick start

AWS CLI

Use the Agent Toolkit directly from your terminal with the AWS CLI:

aws configure agent-toolkit

See the AWS CLI integration guide for setup, configuration, and usage instructions.

Claude Code

The plugins are available on the official Anthropic marketplace (claude-plugins-official) which is added to your Claude Code installation by default. Use the following commands to install supported plugins from the toolkit:

For aws-core that covers service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment:

/plugin install aws-core@claude-plugins-official

Tip: If you get Plugin not found, update your local marketplace index first:

/plugin marketplace update claude-plugins-official

For aws-agents that covers building AI agents on AWS with Amazon Bedrock and AgentCore:

/plugin install aws-agents@claude-plugins-official

For aws-data-analytics that covers data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena:

/plugin install aws-data-analytics@claude-plugins-official

For aws-agents-for-devsecops used to investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.

/plugin marketplace add aws/agent-toolkit-for-aws
/plugin install aws-agents-for-devsecops
/reload-plugins

# Or from Claude's official marketplace:
/plugin install aws-agents-for-devsecops@claude-plugins-official
/reload-plugins

# Setup:
/aws-agents-for-devsecops:setup

For aws-startup-advisor that covers startup-focused architecture, cost, security, and AWS Activate guidance, plus migrations to AWS from Azure, GCP, Heroku, and AI stacks such as OpenAI and Gemini, install from this repository's marketplace:

/plugin marketplace add aws/agent-toolkit-for-aws
/plugin install aws-startup-advisor@agent-toolkit-for-aws
/reload-plugins

Codex

In your terminal:

codex plugin marketplace add aws/agent-toolkit-for-aws

Then launch Codex and run /plugins to browse and install the aws-core plugin.

Cursor

Add this repository as a team marketplace from Settings → Plugins → Team Marketplaces → Add Marketplace → Import from Repo, pointing it at aws/agent-toolkit-for-aws. Cursor indexes the plugins listed in .cursor-plugin/marketplace.json on import.

Then open the Plugins panel and install the aws-core plugin (start here), or aws-agents and aws-data-analytics as needed. Each plugin bundles the AWS MCP Server configuration and agent skills.

Devin

In your terminal:

devin plugins install aws/agent-toolkit-for-aws#plugins/aws-core

This requires devin auth login and adds the plugin to your personal plugins, so it also loads in Devin cloud sessions and Devin Desktop. Add --local to install on this machine only. To install a different plugin, replace aws-core with its name from Plugins, such as aws-agents or aws-data-analytics.

In the Devin web app, choose Customize → Plugins → Add plugin → From repository, enter aws/agent-toolkit-for-aws, and set the subdirectory to plugins/aws-core (or another plugin's directory). Personal plugins added there are also available in the Devin CLI and Devin Desktop.

Kiro

Kiro setup has two independent parts: the AWS MCP Server (for runtime AWS API access and documentation search) and local skills (for task-specific agent guidance). They complement each other but work independently — skills don't require the MCP server, and the MCP server doesn't serve locally-installed skills.

1. Add the AWS MCP Server to your Kiro MCP configuration (.kiro/settings/mcp.json):

{
  "mcpServers": {
    "aws": {
      "command": "uvx",
      "args": [
        "mcp-proxy-for-aws-cli@latest",
        "https://aws-mcp.us-east-1.api.aws/mcp",
        "--metadata",
        "AWS_REGION=us-west-2"
      ]
    }
  }
}

The MCP server gives your agent access to AWS APIs, sandboxed script execution, and real-time documentation search.

2. Install skills from this repository:

npx skills add aws/agent-toolkit-for-aws/skills

This installs skill files to ~/.kiro/skills/ (global) or .kiro/skills/ (project-level). Each skill is a directory containing a SKILL.md file and optionally a references/ subdirectory with additional context the agent reads from the local filesystem when needed. Kiro discovers installed skills automatically and activates them on demand when a task matches.

Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.

fx

fx setup has the same two independent parts as Kiro: the AWS MCP Server (for runtime AWS API access and documentation search) and local skills (for task-specific agent guidance). Skills don't require the MCP server, and the MCP server doesn't serve locally-installed skills.

1. Add the AWS MCP Server from your terminal. fx stores MCP servers in ~/.fx/mcp.json, so the server is available in every project:

fx mcp add aws uvx mcp-proxy-for-aws-cli@latest https://aws-mcp.us-east-1.api.aws/mcp --metadata AWS_REGION=us-west-2

Or add it to ~/.fx/mcp.json by hand. fx uses the mcp key rather than mcpServers, type to select the transport, and a single command array holding the executable and its arguments:

{
  "mcp": {
    "aws": {
      "type": "local",
      "command": [
        "uvx",
        "mcp-proxy-for-aws-cli@latest",
        "https://aws-mcp.us-east-1.api.aws/mcp",
        "--metadata",
        "AWS_REGION=us-west-2"
      ]
    }
  }
}

If a session is already open when you edit the file, run /mcp reload to pick up the change. The MCP server gives your agent access to AWS APIs, sandboxed script execution, and real-time documentation search.

2. Install skills from this repository:

npx skills add aws/agent-toolkit-for-aws/skills -a fx

This installs skill files to .fx/skills/ (project-level); add -g to install to ~/.fx/skills/ (global). fx also discovers skills already installed for other agents in .agents/skills/, .claude/skills/, and .codex/skills/, so a project set up for Codex or Claude Code needs no second copy. Each skill is a directory containing a SKILL.md file and optionally a references/ subdirectory with additional context the agent reads from the local filesystem when needed. fx reads skill metadata at startup and loads a skill's instructions when you or the agent invokes it; type $ in the composer or run /skills to browse what's installed.

Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.

Other agents

See the AWS MCP Server getting started guide for instructions on configuring the AWS MCP Server with your agent.

Then install skills from this repository:

npx skills add aws/agent-toolkit-for-aws/skills

Prerequisites: You need uv installed. An AWS account with credentials configured locally is required for API calls and script execution, but not for documentation search or skill discovery. See the user guide for detailed setup instructions.

What's included

Plugins

Plugins bundle the AWS MCP Server configuration and agent skills into a single install for your coding agent.

PluginDescription
aws-coreCore AWS skills and MCP Server configuration. Covers service selection, CDK/CloudFormation, serverless, containers, storage, observability, billing, SDK usage, and deployment. Start here.
aws-agentsSkills for building AI agents on AWS with Amazon Bedrock and AgentCore.
aws-data-analyticsSkills for data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena.
aws-agents-for-devsecopsInvestigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
aws-startup-advisorPuts an AWS Startups Solutions Architect in your coding assistant. Recommends the smallest architecture for your stage, credits, and team, then can scaffold it, migrate you from Azure, Google Cloud, or Heroku, move model calls to Amazon Bedrock, investigate production incidents, answer AWS Activate credits eligibility questions, and find startup offers you can use.

Plugins are currently available for Claude Code, Codex, Cursor, and Devin. For other agents, configure the AWS MCP Server directly and install skills from this repository.

Skills

Agent skills are curated packages of instructions and reference materials that help agents complete specific AWS tasks. Skills are loaded on demand — agents discover and retrieve only what's relevant to the current task.

npx skills add aws/agent-toolkit-for-aws/skills

Browse the skills/ directory to see all available skills.

Rules files

Recommended project-level configuration files that tell agents how to use AWS most effectively — for example, by using the AWS MCP Server, discovering available skills, or searching documentation before acting.

See rules/ for details.

AWS MCP Server

The AWS MCP Server is a managed server that gives agents access to AWS through the Model Context Protocol. It provides:

  • Full AWS API coverage — Interact with any of the 300+ AWS services through a single authenticated endpoint.
  • Sandboxed script execution — Agents can run Python scripts in an isolated environment for complex multi-step operations.
  • Real-time documentation access — Search and retrieve current AWS documentation, API references, and service capabilities without authentication.
  • Enterprise controls — Amazon CloudWatch metrics, IAM context keys for agent-specific policies, and AWS CloudTrail audit logging.

For details on operation, available tools, authentication, and supported Regions, see the AWS MCP Server documentation.

Documentation

How the Agent Toolkit relates to the MCP servers, skills, and plugins in AWS Labs

In 2025, AWS began releasing MCP servers, skills, and plugins as part of AWS Labs. The Agent Toolkit for AWS is the successor to those tools. We recommend using the Agent Toolkit for AWS, because it offers key features including:

  • IAM condition keys that distinguish between agent actions and human actions, so you can write policies that apply only to agents. For example, you can write policies that only allow read-only actions through the MCP server, even if the user’s underlying IAM role can take write actions).
  • CloudWatch metrics and CloudTrail audit logging for every request, so you can monitor and audit coding agent activity.
  • Agent skills that have undergone thorough end-to-end evaluations, so you can be confident that workflows will complete successfully.

AWS Labs MCP servers, skills, and plugins will continue to work and accept contributions, and over time the best of AWS Labs will be transitioned to the Agent Toolkit for AWS to ensure that customers can access the broadest array of tooling and guidance for their agents.

License

This project is licensed under the Apache-2.0 License. See LICENSE for details.