amazon-bedrock – AWS Bedrock 模型调用 Skill

3周前更新 9 0 0 0

用于指导 AI Agent 通过 AWS 官方工具包调用 Amazon Bedrock 模型服务的技能,适合在 AWS 环境中构建生成式 AI 应用、集成基础模型推理能力的开发场景。

Skill 安装

多 Agent 安装
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill amazon-bedrock

使用 npx skills 快速安装,支持将 Skill 添加到多个兼容的 AI Agent。

Skill 调研报告

Skill 详细介绍

aws/agent-toolkit-for-aws#amazon-bedrock 是 AWS 官方仓库 agent-toolkit-for-aws 中面向 Amazon Bedrock 的 Agent Skill。它不是独立运行的软件,也不是一个模型或推理服务本身,而是一组交给 AI Agent 阅读和执行的指令、工作流与领域知识,用来帮助 Agent 更规范地处理与 Amazon Bedrock 相关的开发、配置和集成任务。

Amazon Bedrock 是 AWS 提供的托管式基础模型服务,通过统一 API 提供多家厂商的基础模型,并配套 Knowledge Bases、Agents、Guardrails、模型评估等能力。这个 Skill 的核心用途,就是把这些平台概念、API 用法和常见集成模式整理成 Agent 可以直接调用的知识,减少用户手写样板配置和反复查文档的成本。

它是什么

  • AWS 官方 Agent Skill,属于 Amazon Bedrock 方向。
  • 本质为提示词、开发指南与工作流的集合,用来指导 Agent 完成 Bedrock 相关任务。
  • 依赖当前 Agent 的 Skill 加载机制生效,本身不提供模型推理能力。

它不是什么

  • 不是 Amazon Bedrock 服务本身,也不替代 AWS 账号和控制台。
  • 不是可以直接运行的 CLI、SDK 或部署包。
  • 不会自动帮用户开通 Bedrock、申请模型访问权限或创建 IAM 角色。

核心功能(以官方资料描述为准)

  • 协助编写和调整调用 Amazon Bedrock 运行时的代码,例如模型调用、流式响应、系统提示等。
  • 协助组织 Bedrock 相关配置,例如模型 ID、区域端点、推理参数。
  • 协助理解 Bedrock 的常见概念,例如 Knowledge Bases、Agents、Guardrails。
  • 协助排查 Bedrock 调用过程中的典型错误与权限问题。

典型任务

  • 生成一段调用 Bedrock 模型的最小可用代码示例。
  • 把已有的模型调用代码迁移到 Bedrock 运行时接口。
  • 为某个业务场景选择合适的模型和推理参数。
  • 梳理 Bedrock 调用的 IAM 权限与凭证配置。

工作方式

Skill 本身不执行网络请求,它通过向 Agent 提供结构化知识和指令,影响 Agent 在对话或编码任务中的输出。真正访问 Amazon Bedrock 的动作,是由用户或用户所使用的开发环境发起的,而不是由 Skill 自身发起。因此 Skill 提供的能力,和 Amazon Bedrock 服务提供的能力需要分开看待。

适合哪些用户

  • 正在使用或准备使用 Amazon Bedrock 的开发者。
  • 需要在代码中集成 Bedrock 模型调用的工程团队。
  • 希望让 AI Agent 协助处理 Bedrock 配置和排错的技术人员。

不适合哪些需求

  • 想直接运行一个模型推理服务,而不通过 AWS。
  • 需要非 AWS 平台(如其他云厂商或自建推理)相关的模型调用指导。
  • 希望 Skill 自动完成账号开通、计费或权限授予。

Skill 安全评估

总体判断:该 Skill 来自 AWS 官方仓库,来源可信度较高,本身以指令和知识为主,不包含需要长期驻留或后台运行的组件。主要安全关注点不在 Skill 本身,而在它引导 Agent 生成和执行的内容,以及后续对 Amazon Bedrock 与 AWS 账号的访问。

来源可信度

  • 属于 AWS 官方组织仓库,相对第三方重新发布版本更可信。
  • 建议从官方来源获取,避免使用来源不明的镜像或改包。

Shell 与文件操作

  • 如果 Agent 具备 Shell 或文件写入权限,它可能按 Skill 建议生成安装依赖、创建配置文件或调整项目代码。
  • Skill 本身不要求删除文件或修改系统级配置,但 Agent 执行时的实际影响取决于其权限设置。
  • 建议按实际需要收紧权限,例如只允许在项目目录内读写。

网络与凭证

  • 访问 Amazon Bedrock 需要有效的 AWS 凭证,这类凭证通常通过 AWS SDK 的凭证链获取。
  • Skill 不要求把长期密钥写进代码;如果 Agent 生成了包含明文密钥的示例,应视为不安全并替换为凭证链或环境变量方式。
  • 凭证泄露风险主要来自用户自己的项目配置,而不是 Skill 文本本身。

依赖与供应链

  • 如果 Agent 生成安装 AWS SDK 的命令,依赖来自官方包源,属于常规开发依赖。
  • 安装第三方依赖前,建议确认包名与来源,避免拼写混淆带来的风险。

权限范围

  • Bedrock 调用通常涉及 IAM 权限;建议按最小权限原则配置,仅授予实际需要的模型和操作。
  • 不建议为 Bedrock 调用使用管理员级账号凭证。

使用建议

  • 不需要 Agent 自动执行命令时,可以关闭自动执行,改为手动运行生成的命令。
  • 对涉及账号、计费和 IAM 的改动,先人工确认再执行。

Skill 使用要求

一、Agent / 客户端

该 Skill 属于 agent-toolkit-for-aws,主要面向支持 Skill 或类似指令加载机制的 AI Agent。官方没有提供完整的第三方 Agent 兼容列表。从 Agent Skill 的一般工作方式看,在支持 Skills、自定义 Skill 或类似机制的环境中通常可以尝试使用,例如 Claude Code、Codex、Cursor、Trae、OpenClaw、WorkBuddy 等。不同 Agent 的加载方式和兼容程度可能不同,具体以对应 Agent 当前版本为准。

二、运行环境 / 依赖

项目 要求
Agent 支持 Skill 加载机制的 Agent
网络 调用 Amazon Bedrock 时需要
AWS SDK / CLI 仅在实际执行 Bedrock 调用时需要
Node.js / Python 取决于生成代码的语言,官方未将其列为硬性要求

Skill 本身以指令为主,运行环境的硬性要求不多;是否需要 Node.js、Python 等,取决于用户实际要编写的调用代码,而非 Skill 本身强制要求。

三、权限

  • 文件读取:可选,用于阅读项目现有代码。
  • 文件写入:可选,用于生成或调整代码和配置。
  • Shell:可选,用于运行依赖安装或测试命令。
  • 网络:可选,实际访问 Amazon Bedrock 时需要。

四、账号 / API Key

  • Skill 本身不需要账号或 API Key。
  • 实际访问 Amazon Bedrock 需要 AWS 账号,以及具备相应权限的 AWS 凭证。
  • 凭证一般通过 AWS SDK 凭证链提供,例如环境变量、共享凭证文件或实例角色,而非写死在代码中。

最小使用条件

  • 一个支持 Skill 的 Agent。
  • 阅读或生成代码的环境。
  • 若要实际调用 Bedrock:AWS 账号与合规凭证。
  • 若要实际调用 Bedrock:对目标模型的访问权限。

Skill 安装、使用与卸载教程

一、安装

可以直接复制本页面提供的 Skill 安装指令,粘贴到对应 Agent 或终端执行。如果不知道该在哪个位置安装,可以直接询问当前 Agent:

如何安装 aws/agent-toolkit-for-aws#amazon-bedrock?

如何在 Claude Code 中安装 aws/agent-toolkit-for-aws#amazon-bedrock?

如何在 Cursor 中安装 aws/agent-toolkit-for-aws#amazon-bedrock?

让当前 Agent 根据自己的 Skill 加载或管理机制给出对应步骤。不同 Agent 的安装目录和方式可能不同,以官方说明或 Agent 的提示为准。

二、安装后如何使用

安装后,Skill 会在符合其适用范围的对话或任务中被 Agent 调用。适合交给它的任务通常与 Amazon Bedrock 的开发、配置和排错相关。用自然语言描述需求即可,例如:

使用 amazon-bedrock,帮我写一段调用 Bedrock 模型的最小可用代码示例。

使用 amazon-bedrock,把这段现有代码改成通过 Bedrock 运行时接口调用模型。

使用 amazon-bedrock,帮我梳理调用 Bedrock 需要的最小 IAM 权限。

如果 Agent 没有自动识别该 Skill,可以在提问中显式点名,或先确认 Skill 是否已正确加载。

三、卸载

不同 Agent 的 Skill 安装位置和管理方式可能不同。如果没有统一卸载命令,直接询问当前 Agent 如何移除通常更稳妥:

如何卸载 aws/agent-toolkit-for-aws#amazon-bedrock?

也可以使用对应 Agent 或 Skill 管理器提供的删除方式,移除该 Skill 的安装目录或条目。卸载 Skill 不会影响已部署在 AWS 侧的资源,如需清理 Bedrock 相关资源,应在 AWS 控制台或通过 AWS 工具单独处理。

常见问题

1. 这个 Skill 和 Amazon Bedrock 服务是一回事吗?

不是。Skill 是 Agent 侧的知识与指令集合,Amazon Bedrock 是 AWS 侧的托管服务。Skill 帮助 Agent 更好地处理 Bedrock 相关任务,但不能替代 Bedrock 服务或 AWS 账号。

2. 安装了 Skill 就能直接调用 Bedrock 吗?

不一定。Skill 影响的是 Agent 的输出和建议,实际调用 Bedrock 需要有效的 AWS 凭证、模型访问权限和网络连通。缺少这些条件时,即使安装了 Skill 也无法真正调用模型。

3. 中国大陆使用是否有网络要求?

该 Skill 面向 Amazon Bedrock,属于 AWS 服务。能否稳定访问取决于所在网络环境和 AWS 区域选择,具体以实际网络与 AWS 官方说明为准。

4. 可以同时安装到多个 Agent 吗?

通常可以,只要各 Agent 支持 Skill 或类似机制,并分别按各自方式安装。不同 Agent 之间不会共享同一份 Skill 状态,需要各自管理。

5. Skill 更新后需要重新安装吗?

取决于 Agent 的 Skill 更新机制。有些 Agent 支持拉取更新,有些需要重新安装。建议以对应 Agent 的说明为准,必要时直接询问当前 Agent 如何更新。

6. 安装后 Agent 没识别到 Skill 怎么办?

先确认安装路径是否正确、Agent 是否支持该 Skill、加载机制是否匹配。可以尝试在提问中显式点名该 Skill,或重启 Agent 会话。若仍无效,向当前 Agent 询问安装是否成功通常能更快定位问题。

7. Skill 会修改我已有的 AWS 资源吗?

Skill 本身不直接操作 AWS 资源,它主要通过 Agent 的输出体现作用。是否真正改动资源,取决于你或 Agent 执行的命令与权限设置。涉及资源改动的操作建议先人工确认。

Skill 更新日志

版本列表
无版本号
fix(aws-startup-advisor): recommend AgentCore over classic Bedrock Agents (#340) Ported from awslabs/startups#263. The architect-for-startups Strands decision guide still recommended classic Bedrock Agents for managed multi-agent orchestration; that service entered maintenance mode and closed to new customers on 2026-07-30. Point the guide at Strands multi-agent primitives on AgentCore Runtime instead, and replace the outdated TypeScript container-only claim with the direct-code vs container deployment choice. Co-authored-by: Logan Kleier
无版本号
docs(payments): document WorkloadIdentity name lowercasing IAM mismatch + CloudTrail debug fallback (#338) Co-authored-by: Khusbu Mishra
无版本号
feat(aws-startup-advisor): add AWS Startup Advisor plugin (#329) * feat(aws-startup-advisor): add AWS Startup Advisor plugin Ports the AWS Startup Advisor plugin from its upstream source repository into this repo as a native, first-class plugin at plugins/aws-startup-advisor. Contents (893 new files): - 10 skills: agent-advisor, architect-for-startups, contextual-offers-for-startups, gcp-to-aws, heroku-to-aws, llm-to-bedrock, knowledge-base-for-startups, prompt-library, start-building-for-startups, startup-advisor - 7 agents, 4 scripts, 126 fixture files - Multi-host manifests: .claude-plugin/, .codex-plugin/, .cursor-plugin/ - Plugin README Re-homed to destination conventions: - Declares exactly one MCP server (the unified AWS MCP server); prose describing capabilities outside that server's 10 aws___* tools was brought in line with what it can actually do. - whitelist -> allowlist across 10 files, matching repo house style. - Stale cross-plugin path references rewritten to resolve at the new location. Schema $id URNs that use "migration-to-aws" as a stable namespace identity are deliberately unchanged. Repo-level registration: - Registered in .claude-plugin/, .agents/plugins/, and .cursor-plugin/ marketplace.json, and listed in README.md. Shared-config fix (.markdownlint-cli2.yaml): - The frontMatter regex "^---\s*$[\s\S]*?^---\s*$" never matched, because \s consumes newlines so \s*$ runs past the line end and the closing fence anchor never lands. markdownlint therefore linted YAML frontmatter as body content. Anchored it on explicit newlines instead. Without the fix the repo reports 549 errors across 442 locations, all inside frontmatter; with it, 0. The 1619 pre-existing files lint at 0 errors under both the old and new regex, so this is not a behavior change for existing content. * ci: exempt typing-extensions from the licence allowlist The dependency-review gate fails on plugins/aws-startup-advisor because typing-extensions 4.15.0 publishes the composite licence expression "Python-2.0 AND GPL-1.0-or-later AND Python-2.0 AND BSD-3-Clause AND Python-2.0 AND BSD-3-Clause AND 0BSD". The shared Amazon OSPO config is an allowlist, and every term in a composite expression must match, so the single unlisted GPL-1.0-or-later term fails the whole package. That term is an artifact of the historical Python licence text bundled in the package's LICENSE file, not an actual GPL grant -- typing-extensions is PSF-licensed. The package reaches this repo only transitively: jsonschema -> referencing, openai -> pydantic/anyio, and exceptiongroup. Scoped as narrowly as the action allows: - Licence-only. Vulnerability checks still apply to this package. - One named package, by purl. - Applied as an inline input, which the action merges per key over the config file, so the shared allow-licenses list is untouched and the config-file SHA pin is unchanged. The alternative was dropping the two uv.lock files that surface the transitive closure, which would have cost 918 pinned file hashes across the two script environments to work around a metadata false positive. * fix(aws-startup-advisor): drop unsupported "agents" key from plugin.json Claude Code 2.1.278 rejects `"agents": "./agents/"` in .claude-plugin/plugin.json, and an unknown key invalidates the whole manifest, so the plugin fails to load entirely. The key was introduced during the port and is not present anywhere else: not in the upstream manifest, and not in this plugin's .codex-plugin or .cursor-plugin manifests. No sibling plugin in this repo declares it either -- aws-agents uses `skills`/`mcpServers`, aws-core uses `hooks`. Nothing is lost by removing it: Claude Code auto-discovers the default agents/ directory, and all 7 agent files remain in place. Reported by Gen Li during migration testing. Note for follow-up: `mise run validate` passes both with and without this key -- lint:manifests and lint:spec (Agent Plugins v1.0.0) both accept a key that Claude Code rejects, so the loading failure was invisible to the repo's own gates. * feat(aws-startup-advisor): port upstream azure-to-aws skill and cache-only pricing Brings the plugin up to date with upstream changes that postdate the original port snapshot. New capability: - azure-to-aws (skill #4) — seven-phase Microsoft Azure to AWS migration over canonical Microsoft.* ARM resource types, with an opt-in generate gate and a what-if repricing workshop. Includes the azure-iac-terraform fixture corpus and its five deterministic asserters (Discover, Design, Clarify x2, Estimate). - skills/shared/ai/ and skills/shared/clarify/ canonical fragments (AI migration guardrails, design-ref harness, clarify assembly), mirrored byte-identical into each consuming skill's references/vendored/ tree. - heroku-to-aws/scripts/ — the Heroku report validator moves in beside the skill that uses it, out of the plugin-level scripts/ directory. - tf-best-practices — three ElastiCache policy fixtures plus the matching validator and security-posture rules. Cache-only pricing, applied consistently across every skill: - Documentation and regional-availability lookups go through the unified AWS MCP Server (aws___* tools). The plugin still declares exactly one MCP server. - No live pricing lookup. A service absent from the pricing cache resolves to "estimated" (a formula constant carrying a published rate, stated verbatim) or "unavailable" (excluded from totals with a warning) — never a guess. - No AWS Pricing Calculator integration; calculator_url is always null. The upstream azure-to-aws skill was authored on a branch predating the cache-only consolidation and merged after it, so it arrived still referencing the removed pricing and knowledge MCP servers. Every substitution here follows upstream's own gcp-to-aws conversion rather than a local invention; the three azure-only files with no gcp counterpart got the same mapping by hand. Two cross-references that the mismatch had left dangling are removed: the workshop calculator-link procedure and an MCP retry ladder that no longer exists. Registration and docs: - Azure added to the plugin README skill table and prose, the root README, and the Claude/Cursor marketplace descriptions and keyword lists (75 keywords, consistent across all four plugin manifests). - Skill descriptions re-trimmed under the 1024-character limit (azure-to-aws 1020, gcp-to-aws 989, heroku-to-aws 1000). Verified: mise run validate (manifests, skill parity, Agent Plugins v1.0.0) — pass; mise run lint:md over 2385 files — clean; gitleaks over both history and the working tree — no leaks; all five azure fixture asserters — pass; 44 vendored files byte-identical to their canonical sources. * feat(aws-startup-advisor): add report cost-figure crosscheck and harden prompt library Ports two upstream changes into the vendored plugin. Cost-figure crosscheck: the report validator now verifies that the dollar figures rendered in a migration or decision report match the estimate they came from, via data-cost-key HTML anchors. Adds the anchor spec to the gcp-to-aws and heroku-to-aws report templates, tags the golden fixtures, and makes the gcp decision-gate asserter pass --estimation-infra so the gate is actually exercised rather than skipped. Prompt library hardening: scopes servicequotas:RequestServiceQuotaIncrease to EC2 and SageMaker quota ARNs instead of "*", drops "curl -k" in favour of a verified TLS call, and reframes the security baseline kit as a starting point that needs review before production. Also extends the anchor requirement to azure-to-aws, which invokes the same shared validator but shipped no anchor guidance. Azure records current spend under current_costs.azure_monthly, which the validator does not map, so only the aws_monthly_balanced anchor applies there. * docs(aws-startup-advisor): tighten AWS terminology in reference content Ports the upstream terminology pass over the knowledge-base and architect reference material. Replaces collective descriptions of AWS ("the AWS ecosystem", "the AWS platform") with what is actually meant -- AWS services, the AWS community, the AWS Partner Network, or a specific named service -- and softens overclaimed outcomes ("ensures" -> "helps" / "is designed to", "guaranteed response times" -> "target response times"). Where the original wording sat inside a direct quotation, the quote is left intact and the surrounding sentence is reshaped instead, so no one is quoted saying something they did not say. Third-party product names, the startup ecosystem, and partner ecosystems are unchanged. Also switches the heroku-live-capture fixtures to RFC 2606 reserved example addresses. Heading markers differ from upstream in 14 of these files: this repo enforces markdownlint MD036, so emphasis-as-heading lines are real headings here. Prose content is identical to upstream. * docs(aws-startup-advisor): sync upstream docs refresh through 604df6f Ports five upstream source-repository PRs that landed after the previous sync at cd8fc31: - #301 advisor docs refresh: azure-to-aws corrects its phase count to 6 and states that Bicep, ARM, live `az` capture, and RDfA are planned follow-ups rather than supported today. - #333 uses an RFC 2606 reserved domain in the Provider invitation example instead of a live one. - #334 adds template-verification guidance before the CloudFormation Launch Stack shortcuts in the budgets article. - #335 replaces a named third party's personal email address with the Merge offer page and Help Center. - #336 adds a safety note to the AI-analytics article: credit and lending model output must support a qualified human reviewer and cannot be the sole basis for approval or denial. Upstream's `setup.md`, `advisor/README.md`, and `advisor/AGENTS.md` changes are out of scope for this port. Three files could not be taken byte-verbatim: this repo enforces markdownlint MD059 (descriptive link text) and MD036 (no emphasis as heading), which upstream does not, and faq.md documents installation from this repo rather than from the upstream source. Upstream's changed lines were applied into them individually; the residual divergence is unchanged at 26 lines, all of it those two lint rules plus that one re-homing. * fix(aws-startup-advisor): stop instructing a pricing-calculator link that is never produced Under cache-only pricing there is no AWS Pricing Calculator integration and `estimation_summary.calculator_url` is always `null`. Two files in each of gcp-to-aws and azure-to-aws still told the agent to render a link "per non-null calculator_url" and justified it with "AWS computes regional prices server-side there", which contradicts cache-only pricing outright: - references/phases/workshop/workshop-compare.md - references/shared/report-decision-core.md The non-null condition means a literal reading already emits nothing, so output is unaffected. The risk is the standing suggestion that a shareable calculator estimate exists and is expected here, which invites a fabricated calculator.aws URL or a claim that prices were computed server-side when they came from the bundled cache. Both now state that the field is always `null` and that no link is rendered, matching heroku-to-aws, which was already correct. This diverges from upstream deliberately. * docs: point AWS Startup Advisor install instructions at this repository Addresses both review comments on #329. The `aws-startup-advisor` entry in `claude-plugins-official` is a git-subdir source pinned to a different repository and subdirectory, so `/plugin install aws-startup-advisor@claude-plugins-official` installs that distribution rather than this one. Merging this PR updates this repository's marketplace but cannot change that external entry. The root README now gives this repository's marketplace route and notes what the official-marketplace name currently resolves to; the same correction is applied to the FAQ reference the skill serves to users. The plugin README previously deferred all installation to the root README's Quick start, whose standalone-skills command targets `aws/agent-toolkit-for-aws/skills`. None of these 11 skills live in that tree, so Kiro and fx users following it got no Startup Advisor. It now carries a plugin-specific command, verified to resolve all 11 skills and 852 files: npx skills add aws/agent-toolkit-for-aws/plugins/aws-startup-advisor/skills --skill '*' It also notes that the skills must be installed together, since `agent-advisor` delegates to `gcp-to-aws`, and that a standalone install does not configure the `aws-mcp` server from `.mcp.json`. * fix(aws-startup-advisor): stop naming the wrong skills in the generic phase workers Both generic phase workers opened by scoping themselves to "a DSL-driven migration skill (`gcp-to-aws` or `heroku-to-aws`)". That list is wrong in both directions: `gcp-to-aws` ships no `references/vendored/dsl/INTERPRETER.md` and never dispatches these workers, while `agent-advisor` and `azure-to-aws` do and went unnamed. The list was introduced by this port. Upstream reads "(migration-to-aws)" — the old plugin name — and re-homing it to this repo's skill names picked the wrong two. Dropping the list entirely rather than correcting it: the very next line says the worker is phase-agnostic and takes its phase from the dispatch context, so enumerating callers in the prompt is both inaccurate and pointless. --------- Co-authored-by: Bear Zietz
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fix(eventbridge): rename the new-bus CLI command to aws eventsv2 (#336) * fix(eventbridge): rename the new-bus CLI command to aws eventsv2 The CLI command for the new custom event buses is aws eventsv2. The skill wrote aws eventbridgev2 in every CLI example and in the prose that states the service's names, so an agent following it would run a command that does not exist. Renames all 25 CLI invocations and updates the naming prose: the CLI command and the endpoint host are eventsv2, the SDK clients remain eventbridgev2, and the IAM namespace remains events. The wrong-namespace warnings now name eventsv2: as the likelier mistake, since a reader copies it from the command they just ran. Also drops events:SystemMetadata/EventGroupId from the condition-key table in references/authorization.md. The service does not populate it, and a documented key that is never populated fails closed without a signal: a StringEquals Allow can never be satisfied and a StringNotEquals Deny always fires, neither raising an error. * bump event bus skill to version 3 * Updating skill version to 2
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docs(msk): Add ZooKeeper-to-KRaft guidance (#316) Document in-place migration availability and require agents to use the current Amazon MSK Developer Guide as the source of truth. Co-authored-by: a-lmillette Co-authored-by: anasstahr
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feat(aws-marketplace-skills): add aws-marketplace-metering skill (#333) Add a skill for AWS Marketplace usage-based (PAYG) metering: deploying a serverless metering integration (ResolveCustomer, BatchMeterUsage, EventBridge via SAM), and querying and debugging metering records, statuses, failures, and billing discrepancies. Covers Concurrent Agreements, multi-product routing, CloudTrail Event History, Seller Reports, per-Region metering, and IAM setup. Co-authored-by: geojomon Co-authored-by: anasstahr
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feat(eventbridge): add amazon-eventbridge-event-bus skill (#334) * feat(eventbridge): add amazon-eventbridge-event-bus skill * style(eventbridge): fix markdown lint violations Align the two dash list markers in SKILL.md with the file's asterisk style (MD004/ul-style), and promote three bold pseudo-headings in references/target-contract.md to level-3 headings (MD036). Content unchanged.
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docs(cloudwatch): update aws-observability to v6 and setting-up-cloudwatch-observability (#332) * docs(cloudwatch): update aws-observability to v6 and setting-up-cloudwatch-observability to v2 Mirrors CR-307493010 from AWSMCPSOPs (commit 69f5bd3) to public toolkit: - aws-observability: v5 → v6, updated description for router disambiguation, expanded routing guidance (scope guard, service-health step 0.5, must-state callouts), cloudwatchomni CLI/SDK rename throughout - setting-up-cloudwatch-observability: v1 → v2, sharpened description, expanded routing rules including GitHub-not-supported clarification - Removes references/azure-ingestion/ (top-level) and github-integration.md from setting-up-cloudwatch-observability (no longer in source) - Updates 21 reference files with cloudwatchomni CLI/SDK rename and content sync * fix(lint): fix markdown lint errors in cloudwatch skill files * fix(plugin): sync aws-core plugin aws-observability with core-skills * fix(spec): use metadata.version format for plugin-synced skill * fix(security): replace base64 pagination token example with placeholder
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feat(resilience-skills): add aws-fault-injection-service skill (#323) Adds a specialized skill for AWS Fault Injection Service (AWS FIS) covering experiment design, the actions catalog, the scenario library, experiment lifecycle and monitoring, multi-account experiments, the experiment IAM role, and blast-radius safety. Contents: - SKILL.md with request routing and a safety-first workflow - references/fis-concepts.md: templates, actions, targets, stop conditions - references/fis-workflow.md: end-to-end authoring and run procedure - references/fis-actions-reference.md: action catalog and selection guidance - references/fis-api-reference.md: CLI and API surface - references/fis-security.md: experiment IAM role and least-privilege patterns Placed under resilience-skills alongside aws-resilience-lifecycle and recovery-controller-setup, which the skill description cross-references. Co-authored-by: Giuseppe Randazzo Co-authored-by: anasstahr
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feat(cloudwatch): update aws-observability to v5 and add setting-up-cloudwatch-observability skill (#326) * feat(cloudwatch): update aws-observability skill to v5 Updates the aws-observability skill to v5. Extends coverage to include CloudWatch Omni (Application Observability): SQL over logs/traces, PromQL over metrics, views, dashboards, alerts, context graph, programmatic access (API/SDK/CLI/CFN), and agent-quality evaluation on OTel traces. Restructures references and scripts into cloudwatch/ and cloudwatch-omni/ subdirectories. Tested with: Claude Code, Kiro, Q CLI. * feat(cloudwatch): add setting-up-cloudwatch-observability skill Adds the setting-up-cloudwatch-observability skill (v1). Covers first-time setup of a CloudWatch Application Observability (Omni) Space or Domain: access grants and profiles, ingestion endpoint provisioning, ADOT SDK instrumentation for Python, Node.js, Java, .NET on EC2/ECS/EKS/Lambda and AI agents (Strands, LangChain, LangGraph, CrewAI, OpenAI Agents, Vercel AI), Azure telemetry ingestion via the CloudWatch agent, and DevOps Agent / Slack integration. Text-only skill (no executable code); security-reviewed: Guardian PASS. Tested with: Claude Code, Kiro, Q CLI. * fix(lint): fix markdown lint errors in cloudwatch skill files * fix(lint): fix remaining markdown lint errors * fix(plugin): sync aws-core plugin aws-observability with core-skills * fix(security): replace base64 pagination token example with placeholder
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docs(aws-serverless): document SnapStart container image support (#324) SnapStart now supports the container image deployment format (in addition to ZIP) for Java 11+, Python 3.12+, and .NET 8+, including AWS Lambda base images and custom base images. Adds a Container images note linking the runtime-hooks and SnapStart uniqueness docs. Bumps skill version 2 -> 3.
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chore: update CODEOWNERS (#322)
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docs(payments): Coinbase Marketplace subscription, connector statuses, and authorizationUrl open guidance (#320) - Marketplace subscription (Coinbase-wide): why it's required, the consolidated-billing + SubscriptionRequiredException (403) statement, and the subscribe steps (logged-in AWS Console -> View purchase options -> review terms -> Subscribe). - Step 4 recovery for a SubscriptionRequiredException at deploy: the CLI provisions manager+connector in one CloudFormation stack, so the failure rolls back and deletes the PaymentManager; recheck via GetPaymentManager and, if ResourceNotFoundException, restart from Step 3a -> 3b -> deploy. - Connector status handling: add PROVISIONING (transient) and AWS_MARKETPLACE_SUBSCRIPTION_REQUIRED (terminal -> subscribe then recreate) to the poll loop and the debugging entry, alongside READY / AUTHENTICATION_EXPIRED / AUTHENTICATION_FAILED. - authorizationUrl handling: correct that the AgentCore CLI does NOT auto-open the URL today. The agent drives it: on the developer's machine open via the OS opener (open/xdg-open/start = navigate, not a fetch); headless/remote/CI -> print the URL for the developer. Never curl/HEAD/WebFetch/preview it (open != fetch). Co-authored-by: Khusbu Mishra
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feat(aws-core): add aws-well-architected-review skill (#319) Adds a Well-Architected Framework review skill under skills/core-skills/ and bundles it with the aws-core plugin. The skill reviews a workload across all six pillars. It discovers the framework question and best-practice inventory from the live AWS documentation rather than embedding a snapshot, then analyzes code, IaC, and configuration to produce evidence-backed findings with best-practice ID citations and Eisenhower-prioritized remediation. It supports full, quick, pillar-scoped, score, and lens-specific review modes. - Add the skill under skills/core-skills/aws-well-architected-review/ (9 files, text-only) and a byte-identical bundled copy under plugins/aws-core/skills/. - Add a row to the aws-core plugin README skills table. - Expand the aws-core description and keywords in the four plugin manifests and the two marketplace indexes so Well-Architected queries surface the plugin.
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feat(aws-cloudformation): Add dedicated CloudFormation validation tool guides (#318) * feat(aws-cloudformation): Add dedicated CloudFormation validation tool guides * Remove deprecated scripts * Remove unneded metadata * Set version as string * fix lint issues
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docs(agents-build): document Tempo/MPP networks, funding, and debugging (#317) The payments.md MPP section covered the wire protocol but the Supported Networks table and funding steps were x402-only (Base Sepolia + Circle). Agents wiring "add MPP payments" were pointed at the wrong network/asset to fund a Tempo endpoint. Adds, grounded in the AgentCore Payments ProcessPayment 4XX/5XX runbooks: - MPP networks/providers/funding subsection: Tempo mainnet (eip155:4217) and Moderato testnet (eip155:42431), StripePrivy-only (Coinbase cannot pay Tempo), auto-detected from the MPP 402, canonical stablecoin pathUSD - Step 7 funding branch for Tempo Moderato via the Tempo faucet - MPP debugging rows: MPP_ACCESS_NOT_ALLOWLISTED, MPP_EVM_NON_CANONICAL_USDC, TEMPO_INSUFFICIENT_BALANCE/memo, Coinbase-Tempo-unsupported - Clarifying note that the x402 Chains table excludes Tempo (MPP-only) Co-authored-by: Raju Ansari
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feat(aws-ai-ml): add inference optimization to model-deployment (#315) * feat(aws-ai-ml): add inference optimization to model-deployment Adds a new capability to the aws-ai-ml skill and brings the rest of its reference content up to date, applied identically to both copies. ## Inference optimization model-deployment could generate deployment code but had nothing to say about what to deploy onto. The agent either asked the user for an instance type or picked one from its own priors, with no way to check the choice against measured behaviour. A new optimization reference covers three workflows: benchmark measure latency and throughput on an existing endpoint, including replaying captured production traffic rather than synthetic load recommend run a recommendation job and read back the published hosting configurations, instead of naming an instance type from memory compare put candidate configurations side by side on the same workload references/model-deployment/references/optimization/benchmark-workflow.md references/model-deployment/references/optimization/benchmarking-guidance.md references/model-deployment/references/optimization/recommendation-workflow.md references/model-deployment/references/optimization/recommendation-options.md references/model-deployment/references/optimization/recommendation-deploy.md references/model-deployment/references/optimization/interpreting-results.md references/model-deployment/references/optimization/huggingface-to-s3.md with three matching notebook templates: references/model-deployment/code_templates/optimize-benchmark.py references/model-deployment/code_templates/optimize-recommendation.py references/model-deployment/code_templates/optimize-huggingface-to-s3.py The templates comment out their `%pip install` setup line and carry it as `# NOTEBOOK_ONLY`, matching the five existing deploy-*.py templates. A bare cell magic is not valid Python, so an uncommented one cannot be parsed by any tool that reads the template as source; the marker is what carries the notebook-only meaning, per code_output_guide.md. ## Region availability references/planning/references/region-availability.md is new. Serverless model customization and inference optimization are not available in every region, and planning previously discovered that only by failing partway through. The reference lets planning fast-fail on an unsupported region before any resource is created. ## Reference content sync The remaining files are accumulated updates to existing references — model-selection determinism (deterministic ordering of model lists, and a soft-term to exact-value mapping so "small" resolves predictably), a finetuning region gate, and updated deployment guidance. No workflow was removed. metadata.version is bumped to "4" to cover the content changes. Text-only content plus notebook templates; no new executable scripts are added. Co-authored-by: Jicheng Wang * fix(aws-ai-ml): resolve markdownlint errors and sync canonical copy for plugin parity --------- Co-authored-by: aws-sssjwang Co-authored-by: Roman Shevchuk
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feat(skills): add amazon-neptune skill (#219) * feat(skills): add amazon-neptune skill Adds guidance for Amazon Neptune Database and Neptune Analytics covering graph and knowledge-graph workloads: engine selection (Database vs Analytics), fraud rings, identity resolution, recommendations, agentic memory, GraphRAG, Gremlin / openCypher / SPARQL, Neo4j migration, connectivity, performance, and troubleshooting. Mutating operations require explicit user confirmation; destructive operations (delete, reset-graph, failover, major upgrade) are refused and redirected to change control. * chore(amazon-neptune): bump skill version to 3 for production release * chore(amazon-neptune): set skill version to 1 for production release --------- Co-authored-by: Victor Servin Co-authored-by: Victor Servin Co-authored-by: Arne Wouters
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fix(aws-agents): correct payment manager name rule in payments reference (#312) The payments reference stated that payment manager names allow underscores. They do not: manager names must be alphanumeric only. Co-authored-by: Tushar Kapoor
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fix(aws-starter-rules): refine wording for cross-region resource creation (#308) Co-authored-by: Mingda Ma
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fix(aws-agents-for-devsecops): missing S3 bucket ownership verification (#305) * Merge commit from fork The Security Agent skills derive a deterministic scan bucket name (security-agent-scans--) from the non-secret caller account ID. Because S3's namespace is global, a third party can pre-register the predictable name; the skills validated the bucket by existence only, so source archives (containing .env, *.pem, terraform.tfstate) could be uploaded into an attacker-owned bucket. - setup-security-agent: head-bucket now asserts --expected-bucket-owner and a 403 on a foreign-owned bucket is fatal; create-bucket treats BucketAlreadyExists as fatal (distinct from BucketAlreadyOwnedByYou) and re-asserts ownership after creation before any use. - scanning / diff-scanning / threat-modeling: every 'aws s3 cp' upload now passes --expected-bucket-owner so writes fail closed if the bucket is not owned by the caller. - Added ownership Rules and troubleshooting notes. Mirrors awslabs/mcp#4490 (MCP server path) for the Claude plugin skills. * Bump plugin version --------- Co-authored-by: Arne Wouters Co-authored-by: Arne Wouters
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docs: add fx setup to the quick start and skills guides (#306)
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feat(aws-containers): add ECS Action Logs guidance (#304) Co-authored-by: Matthew Goodman
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feat: updated cdk skill with new info about faster deployment methods (#303) Co-authored-by: Shadowcat567
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feat(managing-amazon-msk): add custom domain name to Amazon MSK skill (#302) * feat(managing-amazon-msk): add custom domain name skill * fix linting issue * Fixing all reported linting errors
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docs(setup-instructions): split troubleshooting from onboarding runbook and streamline (#301) * docs(setup-instructions): split troubleshooting from onboarding runbook and streamline Behavior-preserving refactor of the agent onboarding runbook. No install or configuration command changes; same steps, order, and end state. - Move per-step error tables into a new setup-troubleshooting.md, linked from each step in setup.md. - Consolidate Parameters and Dependencies into a single 'Before you start' block and add a 'How to run this file' note stating one autonomy mode (gather inputs up front, then run; pause only for the browser aws login and the interactive aws configure agent-toolkit wizard). - Add a note that the piped AWS CLI installer can be downloaded and inspected first, linking the official install page. - De-duplicate the generated aws-mcp MCP entry: describe the env/profile edit the agent must add (AWS_MCP_PROXY_PROFILES) instead of restating the full JSON the wizard writes, reducing drift. setup.md 305 -> 222 lines; error content preserved in setup-troubleshooting.md. * docs(setup-instructions): add back-links from troubleshooting to each step Add a 'Back to Step N' link at the top of each troubleshooting section (and General error handling) pointing to the corresponding step in setup.md, so navigating between a failed step and its resolution is a near-zero-cost round trip. Addresses the one dimension where the single -file layout was easier (0-hop inline lookup). No error content changed. * fix(setup-instructions): stop Step 7 from overwriting project rules files Fixes #282. Step 7 previously told the agent to save the AWS rules to CLAUDE.md / AGENTS.md (and .cursor/rules, .kiro/steering), which overwrites the project's own agent instructions — a quiet, sometimes unrecoverable data loss. Step 7 now creates the file only if absent, otherwise appends the rules under idempotent markers (replacing only the marked block on re-run), and asks the user when it cannot tell whether appending is safe. Also adds a precedence note to rules/aws-agent-rules.md and rules/aws-starter-rules.md: project instructions take precedence where they conflict with the AWS rules. --------- Co-authored-by: Devanshu Bhimwal
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fix(aws-core): make secret-safety hook interpreter cross-platform (#207) (#284) The PreToolUse hook hardcoded `python3`, which on Windows resolves to the Microsoft Store app-execution-alias stub (python.org installs only `python.exe`). The stub exits non-zero on every Bash call, producing a noisy hook-error banner and — worse — causing the secret-safety guard to silently fail open so plaintext secret fetches are no longer blocked. Replace the hardcoded interpreter in both hook entries with a POSIX fallback chain that tries `python3`, then `python`, then `py -3`, keeping the single-command-string form required for Codex compatibility (#98). stderr on the first two attempts is suppressed so the Store-stub message is not surfaced when a working interpreter is found. Verified locally: guard deny/allow matrix unchanged (9/9), and a stubbed `python3` exiting non-zero now falls through to `python` and still denies. Known limitation: the `sh -c` chain does not cover Windows without Git Bash (PowerShell); the silent fail-open warning is left as a follow-up.
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fix(asm-exec): resolve secrets via run_script (fixes #293) (#296) * fix(asm-exec): resolve secrets via run_script aws___call_aws was removed on 2026-08-31, so asm-exec resolved no secrets: _resolve_via_mcp called a tool that no longer exists. Port the MCP path to aws___run_script, which runs a short server-side script calling call_boto3('secretsmanager', 'GetSecretValue', ...) and returns the response as the script's return_value. Also fix two defects that made the failure impossible to diagnose: - The transport timeout was hardcoded to 10s, but the run_script boto3 round trip measures ~13s, so every attempt timed out. Default it to 30s and make it configurable via ASM_EXEC_MCP_TIMEOUT. - _resolve_via_mcp collapsed every exception into one "Failed to resolve" string. Report the specific cause (removed/renamed tool, timeout, unreachable endpoint, denied permission, missing secret) on stderr, without ever including the secret value. _extract_secret_string now also traverses the run_script envelope's return_value key (legacy result/output keys kept for back-compat). Embed call_boto3 arguments with repr so secret ids and version stages cannot break out of the generated script. Update SKILL.md to match. Fixes #293 * refactor(asm-exec): drop unused _mcp_post timeout parameter Address review feedback on #296: no caller passes a timeout, so the parameter was dead. _mcp_post reads the module-level MCP_TIMEOUT directly, keeping the timeout configurable via ASM_EXEC_MCP_TIMEOUT. --------- Co-authored-by: Bidesh Thapaliya
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feat: 90-minute async/ESM timeout guidance for aws-lambda-managed-instances (#300) Documents the 90-minute (5400s) Lambda function timeout for asynchronous and event-source-mapping (SQS, Kinesis, DynamoDB Streams) invocations on Managed Instances: Quick Decision duration signal, Configuration/Limits/Operations updates, long-duration invocation caveats, and a long-running-networking section. Updates the sqs-processor example to illustrate the Timeout and SQS visibility-timeout coupling.
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feat(sms-voice): add aws-sms-voice skill (#298) Co-authored-by: Daniela Espino

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