querying-data-lake – 数据湖查询 Skill

3周前更新 9 0 0 0

querying-data-lake 是用于指导 AI Agent 查询和分析 AWS 数据湖的 Skill,适合需要通过 Athena、Glue 等 AWS 分析服务对数据湖执行 SQL 查询与数据探索的任务。

Skill 安装

多 Agent 安装
npx skills add https://github.com/aws/agent-toolkit-for-aws --skill querying-data-lake

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#querying-data-lake 是 AWS 官方 agent-toolkit-for-aws 仓库中的一个具体 Skill,路径标识为 querying-data-lake。它的核心用途是让 AI Agent 具备查询 AWS 数据湖的能力——也就是说,当用户用自然语言描述一个数据查询需求时,Agent 可以借助这个 Skill 把需求转换为对 AWS 数据湖服务的实际查询操作,并返回结果。

它不是数据湖本身,不是 ETL 工具,也不是一个独立运行的软件。它本质上是一组随 Agent Toolkit 分发的指令 + 工具绑定,安装后让 Agent 多出一块知道怎么跟 AWS 数据湖打交道的能力。

核心能力方向

从 Skill 名称与所属工具包定位来看,它主要围绕以下任务展开:

– 对存储在 AWS 数据湖中的结构化 / 半结构化数据发起查询
– 把用户的自然语言问题转换为可在数据湖上执行的查询逻辑
– 在 Agent 会话中返回查询结果,供后续分析或二次加工
– 与 AWS 数据湖相关服务(例如基于 S3 的数据存储层以及其上层的查询引擎)协同工作

AWS 数据湖在技术上通常涉及 S3 存储、Glue 数据目录、Athena 查询引擎等组件。该 Skill 的作用是让 Agent 理解如何在这个上下文中工作,而不是重新实现这些服务。实际执行查询、扫描数据、返回结果的,是 AWS 的底层服务;Skill 负责的是让 Agent 知道该调用什么、怎么组织查询。

它不是什么

– 不是数据库管理工具,不负责建表、改 schema、迁移数据
– 不是数据可视化工具,不会直接生成图表
– 不是通用 SQL 客户端,它的上下文限定在 AWS 数据湖场景
– 不会替代 Athena、Glue、S3 本身的功能

典型使用场景

– 数据分析人员用自然语言向 Agent 提问,Agent 通过该 Skill 查询数据湖中的表
– 在数据探索阶段,快速对数据湖中的数据集做计数、抽样、聚合
– 让 Agent 帮忙把业务问题翻译成对 AWS 数据湖的查询语句
– 在已有 AWS 数据湖基础设施的前提下,降低查询门槛

适合谁

– 已经在 AWS 上搭建了数据湖,希望通过 AI Agent 更方便地查询的人
– 数据分析、数据工程方向的从业者
– 使用 Claude Code 等支持 Skills 的 Agent、且工作流涉及 AWS 的用户

不适合谁

– 没有 AWS 数据湖、数据存放在本地或其他云的人
– 只想做本地文件处理或非 AWS 数据源查询的人
– 期待开箱即用、无需任何 AWS 配置的人

需要说明的是,该 Skill 的具体实现细节、支持的服务范围、以及查询语言(例如是否以 SQL/Athena 为主)应以该仓库中该 Skill 的当前官方说明为准。当前没有足够信息确认其支持的每一个细分功能点。

Skill 安全评估

总体判断:该 Skill 来自 AWS 官方仓库(aws/agent-toolkit-for-aws),来源可信度较高。但它涉及对 AWS 云资源的查询访问,安全考量主要集中在凭证与权限边界上,而不是 Skill 代码本身。

需要关注的点

1. 来源可信度:Skill 出自 AWS 官方组织。这降低了供应链层面的风险,但不代表无需审查。建议仍以仓库当前官方内容为准,确认 Skill 没有在你不知情的情况下引入额外依赖。

2. 凭证与权限:查询 AWS 数据湖需要有效的 AWS 身份凭证。这是该 Skill 正常工作的前提,本身不是缺陷。真正的风险在于——如果授予的 IAM 权限过宽(例如同时拥有写入、删除、跨账号访问权限),而 Agent 又把它用在了不该用的地方,可能造成超出预期的操作。建议为使用该 Skill 的场景配置最小权限,只授予读取和查询所需的范围。

3. 数据读取范围:数据湖查询通常意味着 Agent 能读取数据湖中的表和数据。需要确认查询范围是否符合你的合规要求,避免 Agent 访问到不该暴露的数据集。

4. 网络访问:该 Skill 需要与 AWS 服务通信。这意味着 Agent 运行环境需要能访问对应 AWS 端点。这是功能必需,不是额外风险,但要确保网络出口策略符合你的安全规范。

5. 查询注入 / 误操作:由于查询由自然语言转换而来,理论上存在生成非预期查询的可能。对于只读查询,风险较低;如果赋予写入权限,风险会明显升高。建议默认只给只读权限。

6. 成本风险:数据湖查询(尤其是大范围扫描)可能产生显著费用。这不是传统安全风险,但在云环境中是实际需要防范的问题。

降低风险的建议

– 使用专门的 IAM 角色 / 用户,只授予数据湖查询所需的读取权限
– 不用时为该凭证设置过期或禁用
– 对敏感数据集设置访问策略,限制可查询范围
– 如果只需要 Skill 帮助生成查询、由人工审核后再执行,可以关闭 Agent 自动执行的能力,由你手动确认
– 对可能产生高成本的查询设置用量提醒或预算告警

不要把它当成危险,也不要当成绝对安全。它的风险与你给了它多大的 AWS 权限直接相关。

Skill 使用要求

一、Agent / 客户端

该 Skill 属于 AWS 官方 Agent Toolkit,主要面向支持 Skills 机制的 AI Agent。从 Skill 的工作方式判断,Claude Code 这类对 Skill / 工具加载支持较好的 Agent 是自然的选择;Codex、Cursor、Trae、OpenClaw、WorkBuddy 等主流 Agent,如果其版本支持 Skills 或类似的指令加载机制,通常也可以尝试使用。

官方没有提供完整的第三方 Agent 兼容列表,不同 Agent 的 Skill 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。

| 项目 | 说明 |
|—|—|
| 推荐 Agent | 支持 Skills 机制的 Agent,Claude Code 优先考虑 |
| 其他兼容 | Codex、Cursor、Trae、OpenClaw、WorkBuddy 等可尝试 |
| 官方完整兼容列表 | 未见明确说明 |

二、运行环境 / 依赖

该 Skill 要真正查询 AWS 数据湖,运行环境需要满足:

– 能够访问 AWS 服务端点(网络要求)
– 具备有效的 AWS 凭证
– 数据湖侧已存在可查询的数据集与查询引擎

至于是否需要额外安装 AWS CLI、特定 SDK、特定 Node.js 或 Python 版本,应以该 Skill 当前官方说明为准,当前没有可靠依据确认具体版本要求。

| 项目 | 要求 |
|—|—|
| Agent | 支持 Skills 的 Agent |
| 网络 | 需要能访问 AWS 服务 |
| AWS 凭证 | 需要 |
| 具体运行时版本 | 以官方说明为准 |

三、权限

– 文件读取:视具体实现,通常不需要大范围文件权限(必需程度取决于实现)
– Shell:可能涉及,用于触发查询相关命令(可选 / 视实现)
– 网络:必需,用于与 AWS 服务通信
– AWS 数据湖访问权限:必需,建议只读

四、账号 / API Key

– Skill 本身:需要 AWS 侧的身份凭证才能完成查询,具体形式(Access Key、角色、Profile 等)以官方说明为准
– Skill 后续影响的资源:查询的是你 AWS 账号下的数据湖资源,因此需要对该账号 / 该数据湖有访问权

这里要区分:Skill 自身不自带任何凭证,凭证由你的 AWS 账号提供。

最小使用条件

1. 一个支持 Skills 的 AI Agent
2. 能访问 AWS 服务的网络环境
3. 一个有数据湖查询权限的 AWS 凭证
4. AWS 侧存在可查询的数据湖数据集

Skill 安装、使用与卸载教程

一、安装

LemonAIKit 的 Skill 详情页已经单独提供了该 Skill 的安装指令,你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。

如果你不确定自己的 Agent 该怎么安装,可以直接问当前 Agent:

如何安装 aws/agent-toolkit-for-aws#querying-data-lake?

如何在 Claude Code 中安装 aws/agent-toolkit-for-aws#querying-data-lake?

如何在 Cursor 中安装 aws/agent-toolkit-for-aws#querying-data-lake?

不同 Agent 的 Skill 加载 / 管理机制不同,让当前 Agent 根据自己的机制来指导安装,通常比套用统一命令更稳妥。如果该 Skill 有额外的官方安装前提(例如需要先配置 AWS 凭证),以官方说明为准。

二、安装后如何使用

安装后,该 Skill 会在你处理 AWS 数据湖相关任务时被触发。适合交给它的任务类型:用自然语言查询数据湖中的数据、对数据湖中的表做探索性分析、把业务问题转换成数据湖查询。

用自然语言描述需求即可,例如:

使用 querying-data-lake,帮我查询数据湖里上个月的订单总金额。

使用 querying-data-lake,统计一下数据湖中用户表里按地区的分布情况。

使用 querying-data-lake,看看数据湖里有哪些可用的数据表。

描述时尽量说清:你想查什么、涉及哪个数据集或表、时间范围或筛选条件。信息越明确,Agent 越容易组织出正确的查询。

三、卸载

不同 Agent 的 Skill 安装位置和管理方式可能不同。通常可以:

– 使用对应 Agent / Skill 管理器提供的删除方式移除该 Skill
– 直接询问当前 Agent:如何移除 aws/agent-toolkit-for-aws#querying-data-lake

如果没有统一的卸载命令,直接问当前 Agent 如何卸载通常更稳妥。当前没有可靠依据确认该 Skill 存在统一的官方卸载命令,因此不建议套用固定命令。

常见问题

1. 安装后 Agent 没有识别到这个 Skill,怎么办?

先确认安装确实成功,再确认你的 Agent 版本支持 Skills 机制。可以重启会话,或直接问 Agent 是否已加载 querying-data-lake。如果 Agent 本身不支持 Skills,需要换到支持的 Agent 上使用。

2. 这个 Skill 会修改我的数据湖数据吗?

这取决于你授予的权限。数据湖查询通常以读取为主,但如果你给的凭证包含写入 / 删除权限,理论上存在被用于修改的可能。建议使用只读权限。

3. 没有 AWS 账号能用吗?

不能。查询 AWS 数据湖需要有效的 AWS 身份凭证和可访问的数据湖资源,没有 AWS 账号无法完成实际查询。

4. 在中国大陆使用是否有网络要求?

该 Skill 需要访问 AWS 服务端点,网络连通性是前提。具体的连通性情况取决于你使用的 AWS 区域和网络环境,建议按实际环境确认。

5. 可以同时安装到多个 Agent 吗?

通常取决于各 Agent 各自的 Skill 管理方式,它们相互独立。可以分别安装,但凭证与权限需要各自配置。

6. 查询会产生费用吗?

可能。数据湖查询(尤其大范围扫描)在 AWS 上通常会计费,费用由底层 AWS 服务产生,而非 Skill 本身。建议关注查询范围,必要时设置预算提醒。

7. Skill 更新后需要重新安装吗?

这取决于你的 Agent 和 Skill 管理方式。部分 Agent 支持更新,部分需要重新安装。可以直接问当前 Agent 如何获取该 Skill 的最新版本。

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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