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assured-workloads-basics

管理 Google Cloud Assured Workloads 合规工作负载:创建、检查、更新或删除工作负载,配置加密密钥和服务限制,并查看合规政策更新。

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Provisions, inspects, updates, and deletes Google Cloud Assured Workloads V1 compliant folders, CMEK settings, Sovereign Controls by Partners, and service usage restrictions. Use when creating, listing, describing, updating, or deleting an Assured Workloads workload for any compliance regime or data boundary (FedRAMP, DoD IL2/IL4/IL5, ITAR, CJIS, Healthcare, Sovereign Controls by Partners, or Regional Data Boundaries). Don't use for brownfield assessments or custom frameworks (use assuredworkloads-environment-assessor or assuredworkloads-frameworks-*), or non-compliant folders.

google/skills星标 21,674(GitHub 21,674 + cccskills 0)
集成工具Google Cloud

实测评分 未实测

查看安装方法

适用场景

  • 按合规要求准备云环境
  • 检查现有工作负载状态
  • 查看可用的合规政策更新
  • 管理允许的服务和加密密钥

中文介绍

功能

使用 Google Cloud Assured Workloads 管理满足法规要求和数据边界要求的工作负载。此技能会先检查所需参数和环境条件,再支持创建合规文件夹、列出和查看工作负载、更新元数据与通知设置,以及删除工作负载。它还可管理客户管理的加密密钥(CMEK)、合规服务允许列表和合作伙伴管理的主权控制,并查看、应用可用的合规政策更新及调查错误。

适用场景

当您需要按 FedRAMP、DoD、ITAR、CJIS 或医疗领域的合规要求配置 Google Cloud 环境时,可以使用此技能。检查现有工作负载的设置和状态时也适用。

使用示例

  • “为这个组织准备创建 FedRAMP Moderate 工作负载。”
  • “检查指定 Assured Workloads 工作负载的状态和设置。”
  • “列出可用的合规政策更新。”

注意事项

需要 Google Cloud SDK(gcloud)、Python 客户端库、Google Cloud 身份验证配置、启用相关 API,并具备所需的 IAM 权限。创建、更新、删除等变更操作前必须取得明确确认。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

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AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。

安全性发送数据、删除文件、执行命令等是否有说明
A良好要求在执行变更或破坏性命令前取得明确确认。
安装难易度所需工具和 API 密钥是否少且有说明
B部分不足列出 SDK、库、身份验证、API 和 IAM 前提,配置要求较多。

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包含的文件(7)

  • SKILL.md19.0 KB
  • references/attribution.md1.8 KB
  • references/regimes.md13.7 KB
  • scripts/diagnose_error.py16.4 KB
  • scripts/manage_workload_updates.py26.1 KB
  • scripts/restrict_allowed_resources.py13.8 KB
  • scripts/validate_params.py56.2 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Google Cloud Assured Workloads Basics (V1 GA)

Validate prerequisites, create Assured Workloads V1 compliant folders, allowlist compliant services, and list, inspect, update, or delete existing workloads using gcloud and the Google Cloud Python Client Libraries (google-cloud-assured-workloads and google-api-python-client).

Usage Attribution

For all gcloud CLI, REST API, and MCP attribution requirements when executing commands with this skill, follow the instructions in Usage Attribution.

Mandatory Guardrails

  1. No Fabrication: Never invent Organization IDs, Billing Account IDs, Folder IDs, Project IDs, Workload IDs, or Compliance Regime enums. Validate parameters with scripts/validate_params.py before running commands.
  2. Regional / Multi-Regional Locations & CLI Surface: Assured Workloads V1 does not support --location=global; always use a regional or multi-regional location compatible with the compliance regime (see references/regimes.md). Never use gcloud compliance-manager commands for Assured Workloads V1 workloads.
  3. Human Confirmation Before Mutation: Read-only operations (list, describe, and scripts/manage_workload_updates.py --action=list) can run immediately after validation, but you must obtain explicit user confirmation before executing any mutating or destructive command (create, restrict_allowed_resources.py, update, manage_workload_updates.py --action=apply, delete, folders delete, or projects delete).
  4. Telemetry Attribution & Regional Endpoints:
    • Prefix every gcloud command you execute directly with CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:assured-workloads-basics)" (see Usage Attribution).
    • Configure Python GAPIC and Discovery clients with regional ClientOptions(api_endpoint="{location}-assuredworkloads.googleapis.com").

Step 0: Prerequisites & Environment Setup

Verify these 5 prerequisites before running Assured Workloads operations:

  1. CLI & Python Libraries: Install the Google Cloud SDK (gcloud — see the Google Cloud SDK Installation Guide) and Python client libraries:
    pip install "google-cloud-assured-workloads>=1.0,<2" "google-api-python-client>=2.0,<3" "google-auth>=2.0,<3"
    
  2. Dual Authentication (CLI + ADC): Authenticate both gcloud and Application Default Credentials (gcloud auth login && gcloud auth application-default login, or gcloud auth activate-service-account --key-file=/path/to/key.json + export GOOGLE_APPLICATION_CREDENTIALS="/path/to/key.json").
  3. Quota & Admin Project: gcloud config set project {admin_project_id} and gcloud auth application-default set-quota-project {admin_project_id}.
  4. API Enablement: Enable the Assured Workloads API (assuredworkloads.googleapis.com):
    gcloud services enable assuredworkloads.googleapis.com --project={admin_project_id}
    
  5. Organization-Level IAM Roles (organizations/{org_id}):
    • Caller: roles/assuredworkloads.admin (or roles/assuredworkloads.reader / roles/assuredworkloads.editor for read-only list/describe), roles/resourcemanager.organizationViewer, and roles/billing.user on --billing-account=billingAccounts/{billing_id} when creating workloads (plus billing.resourceAssociations.create on --partner-services-billing-account for partner workloads).
    • Assured Workloads Service Agent (service-{org_number}@gcp-sa-assuredworkloads.iam.gserviceaccount.com): roles/assuredworkloads.serviceAgent.

Workflow 1: Create an Assured Workloads workload (Two-Phase Provisioning)

Phase 1: Validate Parameters & Create Workload (gcloud assured workloads create)

  1. Select Regime & Location: Check references/regimes.md for all 45 V1 --compliance-regime enums and valid --location values.
    • Free-Tier Regional Data Boundaries (REGIONAL_DATA_BOUNDARY): Free-tier regional data boundaries (e.g., US Data Boundary with standard commercial support and without sovereign personnel support uplift, EU Data Boundary, Australia/India/UK/Canada/Israel Data Boundary) map to --compliance-regime=REGIONAL_DATA_BOUNDARY (legacy alias: REGIONAL_CONTROLS) paired with --location={location} (except Japan, which uses JAPAN_DATA_BOUNDARY). Do not set --compliance-regime to paid sovereign support regimes (US_REGIONS_AND_US_SUPPORT, US_DATA_BOUNDARY_AND_SUPPORT, FEDRAMP_MODERATE) when the user requests the free-tier boundary, and never invent non-existent enums like US_DATA_BOUNDARY.
  2. Billing Account Discovery (If Omitted): Never guess a billing account ID. If omitted, run gcloud billing accounts list --filter="open=true" --format="table(name,displayName)" or ask the user for billingAccounts/{billing_id}.
  3. Validate & Create: Validate with python3 scripts/validate_params.py --operation=create ..., surface any warnings, obtain explicit user confirmation, and execute gcloud assured workloads create:
    gcloud assured workloads create \
      --organization={org_id} --location={location} \
      --display-name="{display_name}" --compliance-regime={compliance_regime} \
      --billing-account=billingAccounts/{billing_id} \
      [--provisioned-resources-parent=folders/{parent_folder_id}] [--enable-sovereign-controls] \
      [--next-rotation-time={next_rotation_time} --rotation-period={rotation_seconds}s] \
      [--resource-settings=consumer-project-id={consumer_project_id},consumer-project-name={consumer_project_name},encryption-keys-project-id={kms_project_id},encryption-keys-project-name={kms_project_name},keyring-id={keyring_id}] \
      [--partner={partner_enum}] [--partner-permissions=data-logs-viewer=true|false] \
      [--partner-services-billing-account=billingAccounts/{partner_billing_id}] \
      [--labels=key1=val1,key2=val2] [--external-identifier={external_id}] --format=json
    
    • CMEK & Resource Settings Rules: --next-rotation-time (RFC 3339 timestamp) and --rotation-period (seconds, e.g. 172800s) must be specified together. encryption-keys-project-id, encryption-keys-project-name, and keyring-id in --resource-settings require both rotation flags.
    • Sovereign Controls by Partners (--compliance-regime=ASSURED_WORKLOADS_FOR_PARTNERS):
      • Requests for partner-managed sovereign controls (S3NS, T-Systems, SIA Minsait, PSN, CNTXT, Telefónica) map to --compliance-regime=ASSURED_WORKLOADS_FOR_PARTNERS.
      • Requires --partner and a supported partner region (see references/regimes.md for valid --partner values, supported regions, and partner billing account requirements).
      • Configure partner permissions on the CLI with --partner-permissions=data-logs-viewer=true (or data-logs-viewer=false).

Phase 2 (Optional): Allowlist Compliant Services / Enable BigQuery (google-cloud-assured-workloads)

  • When Required: For FEDRAMP_MODERATE and DATA_BOUNDARY_FOR_FEDRAMP_MODERATE, BigQuery is automatically enabled at creation (skip Phase 2). For all other regimes (such as FEDRAMP_HIGH), BigQuery is initially blocked by the folder's constraints/gcp.restrictServiceUsage organization policy while a background configuration process completes (typically 5–10 minutes after creation).
  • Never Bypass Org Policies Manually: Do not manually override or delete constraints/gcp.restrictServiceUsage on the folder to bypass Assured Workloads compliance controls.
  • Programmatic Allowlisting (AssuredWorkloadsServiceClient.restrict_allowed_resources): Once background setup completes and compliant services (like BigQuery) appear in compliantButDisallowedServices, run python3 scripts/restrict_allowed_resources.py --organization={org_id} --location={location} --workload-id={workload_id} --restriction-type=ALLOW_COMPLIANT_RESOURCES (after user confirmation), or call the official google-cloud-assured-workloads Python client library directly:
    from google.api_core.client_options import ClientOptions
    from google.cloud import assuredworkloads_v1
    
    client = assuredworkloads_v1.AssuredWorkloadsServiceClient(
        client_options=ClientOptions(
            api_endpoint=f"{location}-assuredworkloads.googleapis.com"
        ),
        transport="rest",
    )
    request = assuredworkloads_v1.RestrictAllowedResourcesRequest(
        name=f"organizations/{org_id}/locations/{location}/workloads/{workload_id}",
        restriction_type=assuredworkloads_v1.RestrictAllowedResourcesRequest.RestrictionType.ALLOW_COMPLIANT_RESOURCES,
    )
    client.restrict_allowed_resources(request=request)
    
    (Supported RestrictionType values: ALLOW_COMPLIANT_RESOURCES, APPEND_COMPLIANT_RESOURCES, or ALLOW_ALL_GCP_RESOURCES).

Workflow 2: List & Describe Assured Workloads workloads (gcloud)

Read-only list and describe operations do not require user confirmation after validating with scripts/validate_params.py.

  1. List Workloads (ListWorkloads):
    gcloud assured workloads list --organization={org_id} --location={location} \
      [--filter="{filter_expression}"] [--limit={limit}] [--page-size={page_size}] --format=json
    
  2. Describe a Specific Workload (GetWorkload):
    gcloud assured workloads describe {workload_id} --organization={org_id} --location={location} --format=json
    
    (Or pass the full resource name organizations/{org_id}/locations/{location}/workloads/{workload_id}).
    • Key describe Output Fields: name, displayName, complianceRegime, partner, resources (provisioned CONSUMER_FOLDER folder ID, CONSUMER_PROJECT, ENCRYPTION_KEYS_PROJECT, and KEYRING), etag (optimistic concurrency token required for update/delete), compliantButDisallowedServices, kajEnrollmentState, saaEnrollmentResponse, violationNotificationsEnabled, and labels.

Workflow 3: Delete an Assured Workloads workload (DeleteWorkload)

An Assured Workloads workload cannot be deleted while its provisioned Cloud Resource Manager folder (folders/{folder_id}) or child projects still exist (FAILED_PRECONDITION: Workload is not empty / ERROR_CODE_WORKLOAD_NOT_EMPTY). Never run gcloud assured workloads delete before deleting the provisioned folder and its child projects.

  1. Inspect & Validate: Run gcloud assured workloads describe to identify the provisioned folder (folders/{folder_id}) and child projects ({project_id}), and validate with python3 scripts/validate_params.py --operation=delete --workload-id={workload_id} --organization={org_id} --location={location}.
  2. Confirm & Execute Ordered Deletion Sequence: Obtain explicit user confirmation, then run in strict bottom-up order:
    # Step 1: Delete child projects inside the workload folder first
    gcloud projects delete {project_id} --quiet
    
    # Step 2: Delete the provisioned Assured Workloads folder
    gcloud resource-manager folders delete {folder_id}
    
    # Step 3: Delete the Assured Workloads workload after folder deletion propagates
    gcloud assured workloads delete {workload_id} --organization={org_id} --location={location} --quiet
    
    • Propagation Delay & --etag Note: Folder deletion state (DELETE_REQUESTED) can take a brief propagation delay (15–60s) before Assured Workloads recognizes the folder as deleted. If ERROR_CODE_WORKLOAD_NOT_EMPTY transiently persists after deleting the folder, wait 15–20 seconds and retry gcloud assured workloads delete without a stale --etag (as deleting underlying resources changes the workload's concurrency token).

Workflow 4: Update an Assured Workloads workload (UpdateWorkload & Compliance Updates)

4A. Update Workload Metadata & Notifications (gcloud assured workloads update)

  • Updatable Fields (at least one required):
    • --display-name="{new_display_name}": 4–30 characters ([a-zA-Z0-9 -], no trailing spaces).
    • --labels=key1=val1,key2=val2: Replaces the workload's label map (include existing labels to preserve them).
    • --violation-notifications-enabled=true|false: Enables or disables email notifications for organization policy compliance violations to Essential Contacts (Legal category).
    • --etag={etag}: Current concurrency token from describe/list.
  • Immutable Fields (Cannot Be Modified After Creation): complianceRegime, location, billingAccount, and partner are immutable. gcloud assured workloads update cannot change a workload's complianceRegime or location in-place; changing regimes requires creating a new Assured Workloads workload.
  • Validate, Confirm, & Execute: Validate with python3 scripts/validate_params.py --operation=update ..., obtain explicit user confirmation, and run:
    gcloud assured workloads update {workload_id} --organization={org_id} --location={location} \
      [--display-name="{new_display_name}"] [--labels=key1=val1,key2=val2] \
      [--violation-notifications-enabled=true|false] [--etag={etag}] --format=json
    

4B. List & Apply Compliance Posture Updates (updates.list & updates.apply)

gcloud assured workloads does not have a built-in CLI subcommand to list or apply compliance posture updates from the updates sub-resource (gcloud assured workloads update only updates workload metadata). Use scripts/manage_workload_updates.py (--action=list or --action=apply after user confirmation) or googleapiclient.discovery.build against the regional Assured Workloads v1 API (https://{location}-assuredworkloads.googleapis.com):

  • AVAILABLE vs. WITHDRAWN Update States:
    • AVAILABLE (One Update Per Constraint): Each AVAILABLE update record corresponds to an individual organization policy constraint update (details.orgPolicyUpdate.suggestedPolicy.constraint). If multiple updates are AVAILABLE, each corresponds to a different constraint and must be applied individually (or sequentially via --update-id=ALL)—applying the newest update does not apply older AVAILABLE updates for other constraints.
    • WITHDRAWN (Superseded): When a newer policy update supersedes an older unapplied update for the same constraint, Assured Workloads marks the older update WITHDRAWN. Filter for state AVAILABLE and never apply WITHDRAWN updates.
  • Python Discovery API Pattern (updates.list, updates.apply, & LRO Polling):
    import time
    from google.api_core.client_options import ClientOptions
    from googleapiclient import discovery
    
    service = discovery.build(
        "assuredworkloads",
        "v1",
        client_options=ClientOptions(
            api_endpoint=f"https://{location}-assuredworkloads.googleapis.com"
        ),
    )
    parent = f"organizations/{org_id}/locations/{location}/workloads/{workload_id}"
    
    # 1. List updates and filter for AVAILABLE state
    resp = (
        service.organizations()
        .locations()
        .workloads()
        .updates()
        .list(parent=parent)
        .execute()
    )
    available = [u for u in resp.get("updates", []) if u.get("state") == "AVAILABLE"]
    
    # 2. Apply each AVAILABLE update and poll the returned Long-Running Operation (LRO)
    for update in available:
      op = (
          service.organizations()
          .locations()
          .workloads()
          .updates()
          .apply(name=update["name"], body={})
          .execute()
      )
      while not op.get("done", False):
        time.sleep(3)
        op = (
            service.organizations()
            .locations()
            .operations()
            .get(name=op["name"])
            .execute()
        )
    

Common Error Handling & Troubleshooting (scripts/diagnose_error.py)

Never blindly retry deterministic 400 INVALID_ARGUMENT, 403 PERMISSION_DENIED, 404 NOT_FOUND, or FAILED_PRECONDITION errors. Run python3 scripts/diagnose_error.py --error-message="{error_output_text}" to match any error against the full Assured Workloads ErrorInfo.reason catalog.

Troubleshooting Folder creation was unsuccessful. Please try again. (LRO Inspection)

When gcloud assured workloads create fails with the generic message Folder creation was unsuccessful. Please try again., do not blindly retry. Inspect the failed Long-Running Operation (LRO) in the same organization and location to retrieve the specific ErrorInfo.reason:

gcloud assured operations list --organization={org_id} --location={location} --format=json
gcloud assured operations describe {operation_id} --organization={org_id} --location={location} --format=json

(Or run python3 scripts/diagnose_error.py --fetch-latest-lro --organization={org_id} --location={location}).

Common Folder Creation Preconditions to Check in the LRO Error:

  • Duplicate sibling folder display name (ERROR_CODE_FOLDER_NAME_UNIQUENESS): A sibling folder with the same --display-name already exists under the target parent (organizations/{org_id} or folders/{parent_folder_id}). Choose a unique --display-name or a different --provisioned-resources-parent.
  • Nesting inside an existing Assured Workloads folder (ERROR_CODE_INVALID_PROVISIONED_RESOURCES_PARENT): Assured Workloads folders cannot be nested inside another Assured Workloads folder. Specify a standard non-workload parent folder or omit --provisioned-resources-parent.
  • Folder quota or nesting depth limit (ERROR_CODE_FOLDER_CREATION_PRECONDITION_FAILED): The target parent reached the Cloud Resource Manager 300 direct child-folder quota or the 10-level folder nesting depth limit.

Reference Documentation

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