finding-data-lake-assets – 数据湖资产查找 Skill

3周前更新 9 0 0 0

AWS Agent Toolkit 中用于让 AI Agent 在 AWS 数据湖中查找和定位数据资产的 Skill,可按名称、标签或元数据检索 Glue 数据目录里的数据库、表和分区,适合需要发现与探查数据湖资源的场景。

Skill 安装

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

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#finding-data-lake-assets 是 AWS 官方 Agent Toolkit(aws/agent-toolkit-for-aws)仓库中的一个具体 Skill,名称可以理解为 finding-data-lake-assets,直译为“查找数据湖资产”。

它要解决的问题很明确:当数据分散在 Amazon S3、AWS Glue Data Catalog、Amazon Athena 等数据湖组件中时,用户往往需要在多个控制台、多个服务之间来回翻找,才能确认某个数据集到底存在哪里、由哪张表承载、字段结构是什么、数据实际落在哪个 S3 路径。这个 Skill 的目标就是让 AI Agent 通过 AWS 官方工具链,替用户完成这类“资产发现”工作。

它本质上不是一个可以独立运行的程序或服务,而是给 AI Agent 用的一组指令、工具调用约定和操作流程。安装后,Agent 在遇到与数据湖资产定位相关的任务时,会按这个 Skill 定义的方式去查询 AWS 环境,而不是凭空猜测表名或路径。

核心能力方向

根据 AWS Agent Toolkit 的定位,这类 Skill 通常围绕以下几个方向帮助用户:

– 在 AWS Glue Data Catalog 中检索数据库、表、分区、字段结构等元数据
– 定位某个数据集在 Amazon S3 上的实际存储位置
– 结合 Amazon Athena 查询能力确认表是否可查、数据是否存在
– 对多个候选资产进行筛选,帮助用户确认“我要找的是哪一个”

典型任务

– 用户说“帮我找和订单相关的表”,Agent 在 Data Catalog 中按关键词检索并列出候选
– 用户说“这张表的数据实际存在哪个 S3 路径”,Agent 查出对应存储位置
– 用户说“确认这个数据集是否存在、字段有哪些”,Agent 返回表和列信息

它不是什么

– 不是数据集成工具,不会搬运或同步数据
– 不是权限管理工具,不会替你配置 IAM
– 不是数据质量或血缘分析工具
– 不负责建表、改表、删表

适合谁

已经在用 AWS 数据湖(S3 + Glue + Athena)的数据工程师、数据分析师,以及需要经常确认资产位置的团队。如果你只是偶尔查一张表,直接用控制台可能更快;如果资产数量多、经常需要跨服务交叉确认,这个 Skill 会更省事。

与普通 Agent 能力的区别

普通 Agent 只是“知道”数据湖概念,但没有可靠通道去查询你的真实 AWS 环境。这个 Skill 的价值在于把查询动作规范化,降低 Agent 随意编造表名、路径的风险——前提是用户确实配置了可用的 AWS 访问凭证。

Skill 安全评估

总体判断:来源可信度高,但实际风险取决于它被赋予了多大的 AWS 权限。这个 Skill 来自 AWS 官方仓库,不是第三方重新打包版本,来源本身是主要加分项。

真正需要关注的是权限范围,而不是 Skill 本身:

– 只读查询是正常用途:查找数据湖资产本质上只需要读取 Glue Data Catalog、S3 元数据、Athena 查询结果。如果 Agent 被授予的凭证只有只读权限,风险相对可控。
– 凭证是关键风险点:这类 Skill 要访问你的 AWS 账户,意味着运行环境里存在 AWS 凭证(如访问密钥、临时凭证或配置好的 profile)。如果这些凭证权限过大,风险就不在 Skill,而在权限配置。
– 元数据暴露:查询回来的表名、字段、S3 路径会进入对话上下文。如果上下文会被记录或转发到外部,等于暴露了你的数据资产结构。对敏感环境要留意这一点。
– 查询可能产生费用:通过 Athena 执行查询会按扫描数据量计费。Agent 若执行了大范围查询,可能产生真实账单,这和“安全”无关但属于实际风险。
– 第三方 Agent 的 Shell 权限:如果 Agent 能自动执行 AWS CLI 命令,就等于它能用你的凭证做任何该凭证允许的事。降低风险的做法是把凭证权限收敛到只读、限定到需要的库表范围。

实操建议:

– 优先使用临时凭证(如 STS 生成的短期凭证),而不是长期访问密钥
– 给 Agent 用的凭证只授予读取 Glue 元数据和执行必要查询的最小权限
– 如果不需要 Agent 自动执行命令,可以关闭 Shell 自动执行,改为人工确认后再执行
– 不要把生产环境的高权限凭证放进实验性的 Agent 会话

没有发现与这个 Skill 直接相关的、已被公开披露的安全漏洞。但“没有漏洞记录”不等于无风险,权限收敛永远是最有效的防护手段。

Skill 使用要求

一、Agent / 客户端

该 Skill 属于 AWS Agent Toolkit 体系,官方主要围绕 AWS 自己的工具链和主流 Agent 场景设计。官方没有公布完整的第三方 Agent 兼容清单,因此不宣称“官方支持”某个具体第三方 Agent。

从 Agent Skill 的一般工作方式看,在支持 Skills、自定义 Skill 或类似指令加载机制的环境中通常可以尝试,例如 Claude Code、Codex、Cursor、Trae、OpenClaw、WorkBuddy。不同 Agent 的 Skill 加载方式、可用工具和权限模型差异较大,兼容程度以对应 Agent 当前版本为准。适合优先在与你 AWS 使用场景匹配、且能配置 AWS 凭证的 Agent 中尝试。

二、运行环境 / 依赖

| 项目 | 要求 |
|—|—|
| Agent | 支持 Skills / 自定义指令加载的 Agent,具体以官方说明为准 |
| AWS 账号 | 必需,需要能访问目标数据湖资源 |
| AWS CLI 或等效 SDK | 通常需要,用于与 AWS 服务交互 |
| 网络 | 需要能访问 AWS 服务端点 |
| Node.js / Python | 取决于具体工具链和 Agent,官方未在此 Skill 中明确固定版本 |

官方没有在该 Skill 中明确统一的最低版本要求,具体以 AWS Agent Toolkit 仓库当前说明为准。

三、权限

– AWS 只读元数据访问(Glue Data Catalog):通常必需
– S3 读取(对象列表 / 元数据):通常必需
– Athena 查询执行:可选,取决于是否需要验证数据可查
– Shell / 命令执行:取决于 Agent,若允许自动执行则风险上升
– 网络访问:必需,用于调用 AWS 服务

注意:这里说的是“该 Skill 正常工作需要什么权限”,不是“你应该给多大权限”。实际配置时建议按最小权限原则收敛。

四、账号 / API Key

– Skill 本身不提供账号体系,它依赖你已有的 AWS 账号
– 访问 AWS 需要通过凭证(访问密钥、临时凭证或 IAM 角色),不是通用的“API Key”概念
– 是否配置凭证属于运行环境准备,不是 Skill 安装本身的一部分
– Skill 后续查询的目标数据湖,权限完全由你的 AWS IAM 决定

最小使用条件

1. 一个可用的 Agent(支持 Skill 加载)
2. 一个 AWS 账号,且能访问目标数据湖资源
3. 配置好的、权限收敛的 AWS 凭证
4. 能访问 AWS 服务端点的网络

Skill 安装、使用与卸载教程

一、安装

本页面已经单独提供了该 Skill 的安装指令,直接复制并粘贴到对应 Agent 或终端执行即可。

如果你不确定自己的 Agent 如何安装,可以直接问当前 Agent:

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

也可以针对具体 Agent 询问:

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

如何在 Codex 中安装 aws/agent-toolkit-for-aws#finding-data-lake-assets?

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

让 Agent 根据自己的 Skill 加载与管理机制给出安装方式,通常比套用不相关的通用命令更稳妥。

安装前请确认已准备好可用的 AWS 凭证,否则装好后也查不到任何资产。

二、安装后如何使用

安装后,当你的任务涉及“在 AWS 数据湖里找资产”时,Agent 会按该 Skill 定义的方式去查询。触发方式通常是自然语言描述需求,而不是输入固定命令。

适合交给它的任务类型:

– 按关键词或主题查找数据表
– 确认某张表的字段结构
– 定位数据实际所在的 S3 位置
– 确认表是否可查询

自然语言使用示例:

使用 finding-data-lake-assets,帮我在 AWS Glue Data Catalog 里查找和用户订单相关的表,列出候选清单。

使用 finding-data-lake-assets,确认这张表的数据实际存在哪个 S3 路径,并告诉我字段结构。

使用 finding-data-lake-assets,检查我环境里是否已经存在与销售指标相关的数据集。

描述需求时,尽量说清你要找的主题、可能的库或前缀、以及你是想“找候选”还是“确认某一个”,Agent 的检索会更有针对性。

三、卸载

不同 Agent 的 Skill 安装位置和管理方式不同,没有统一卸载命令。常见做法:

– 使用对应 Agent 或 Skill 管理器提供的删除 / 移除方式,删除该 Skill
– 或直接询问当前 Agent:

如何卸载 aws/agent-toolkit-for-aws#finding-data-lake-assets?

如果 Skill 使用时单独配置过 AWS 凭证或配置文件,卸载 Skill 后建议一并清理这些凭证,避免遗留可被其他工具读取的访问密钥。

常见问题

1. 这个 Skill 需要联网吗?

需要。它要访问 AWS 服务端点来查询 Glue、S3、Athena,没有网络就无法工作。

2. 在中国大陆使用会有网络问题吗?

可能有。能否稳定访问取决于你使用的 AWS 区域和网络条件。如果目标区域在海外,建议提前确认网络连通性;如果使用中国区域,请以该区域当前可用的服务和端点为准。

3. Skill 会修改我的数据吗?

按“查找资产”的定位,它的目标是只读查询。但这不是绝对保证——如果你给它配置了写权限凭证,理论上它也能执行被允许的写操作。最可靠的做法是把 Agent 用的凭证限制为只读。

4. 可以同时装到多个 Agent 里吗?

通常可以,Skill 的安装位置与 Agent 相关,多个 Agent 各自独立安装即可。但要注意每个 Agent 使用的 AWS 凭证要各自管理清楚。

5. 安装后 Agent 没有识别到这个 Skill,怎么办?

先确认安装路径或加载方式是否符合对应 Agent 的要求,再确认 Agent 是否需要重启或重新加载。如果仍不行,直接问当前 Agent 如何安装 aws/agent-toolkit-for-aws#finding-data-lake-assets,让它在自己的机制下排查。

6. 查询会产生 AWS 费用吗?

可能。Glue 元数据读取、S3 请求、Athena 查询都可能计费,其中 Athena 按扫描数据量计费最明显。如果 Agent 执行大范围查询,账单可能上升,建议在执行前控制查询范围。

7. Skill 更新后需要重新安装吗?

取决于你的 Agent 如何管理 Skill。有的会随源更新,有的需要手动重装。官方没有针对此 Skill 给出统一更新策略,具体以你的 Agent 和安装方式为准。

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
无版本号
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
无版本号
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
无版本号
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
无版本号
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.
无版本号
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
无版本号
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
无版本号
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
无版本号
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.
无版本号
chore: update CODEOWNERS (#322)
无版本号
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
无版本号
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.
无版本号
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
无版本号
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
无版本号
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
无版本号
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
无版本号
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
无版本号
fix(aws-starter-rules): refine wording for cross-region resource creation (#308) Co-authored-by: Mingda Ma
无版本号
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
无版本号
docs: add fx setup to the quick start and skills guides (#306)
无版本号
feat(aws-containers): add ECS Action Logs guidance (#304) Co-authored-by: Matthew Goodman
无版本号
feat: updated cdk skill with new info about faster deployment methods (#303) Co-authored-by: Shadowcat567
无版本号
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
无版本号
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
无版本号
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.
无版本号
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
无版本号
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.
无版本号
feat(sms-voice): add aws-sms-voice skill (#298) Co-authored-by: Daniela Espino

暂无评论

none
暂无评论...