본문으로 건너뛰기
cccskills
Google 공식무료GitHub에 공개

iam-helper-for-policy-management

Inspect and manage Google Cloud IAM policies that grant roles or explicitly deny permissions. The skill prepares policy changes for user approval, supports organization, folder, project, and supported resource scopes, and verifies the resulting policy after execution.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Streamlines the creation, modification, and management of IAM allow policies (v1) and deny policies (v2). Manages access control across Resource Manager resources (Organization, Folder, Project) and individual resources. Use when creating, updating, listing, or deleting IAM allow policies or deny policies. Don't use for access denial troubleshooting (use iam-helper-for-troubleshooting), temporary privileged access (use iam-helper-for-privileged-access-management), configuring VPC Service Controls, or managing network firewall rules.

연동 도구Google Cloud

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Reviewing existing allow and deny policies
  • Adding or removing role bindings for specific identities
  • Creating or updating organization, folder, or project deny policies
  • Verifying active policies after approved changes

포함된 파일(4)

  • SKILL.md5.5 KB
  • references/attribution.md1.9 KB
  • references/v1-allow-policies.md6.1 KB
  • references/v2-deny-policies.md7.6 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

IAM Helper for Policy Management

Orchestrates the lifecycle and management of IAM allow and deny policies across IAM v1 (allow policies) and IAM v2 (deny policies).

Usage Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read and follow the instructions in Usage Attribution.


Core Concepts & Paradigms

IAM operates across two policy paradigms:

  1. IAM v1 (Allow Policies): Grants roles to principals (users, service accounts, groups, domains) on specific resources. Supports Resource Manager resources (organizations, folders, projects) as well as individual resources across supported Google Cloud services.
  2. IAM v2 (Deny Policies): Sets explicit organization-, folder-, or project-level guardrails that prevent specified principals from using designated permissions, regardless of any allow policies granted. Evaluated before allow policies.

Workflow & Decision Tree

When receiving a policy management request, determine whether the operation is Read-Only or Mutating, and whether it targets IAM v1 (Allow Policies) or IAM v2 (Deny Policies):

1. Read-Only Operations (Autonomous Execution)

Read-only actions include the following:

  • IAM v1 Allow Policies: get-iam-policy on project/folder/organization, or gcloud iam list-testable-permissions //cloudresourcemanager.googleapis.com/projects/PROJECT_ID.
  • IAM v2 Deny Policies: gcloud iam policies list or gcloud iam policies get with --attachment-point and --kind=denypolicies.

For read-only actions, execute the command autonomously to inspect state, and present the query results clearly to the user.

2. Mutating Operations (Plan & Confirm Protocol)

Mutating operations include the following:

  • IAM v1 Allow Policies: add-iam-policy-binding, remove-iam-policy-binding, or set-iam-policy across project, folder, organization, or resource levels (see references/v1-allow-policies.md).
  • IAM v2 Deny Policies: create, update, or delete deny policies on attachment points (cloudresourcemanager.googleapis.com/projects/PROJECT_ID, cloudresourcemanager.googleapis.com/folders/FOLDER_ID, or cloudresourcemanager.googleapis.com/organizations/ORG_ID) using YAML/JSON policy files (see references/v2-deny-policies.md).

For mutating operations, follow the Plan & Confirm Protocol below. DO NOT execute mutating commands autonomously without prior user approval.


Execution & Safety Protocol

  • Plan and Confirm (No Autonomous Mutation): Mutating allow and deny policy changes modify live security perimeters and access controls. You MUST NOT execute mutating gcloud commands directly via tool calls without explicit prior confirmation from the user. When asked to apply a mutating change, do the following:
    1. Formulate the Command: Generate the exact, fully constructed gcloud command (including all parameters such as --member, --role, --attachment-point, --kind=denypolicies, and --policy-file).
    2. Warn of Impact & Propagation: Issue a general warning that the change could impact access in a live environment and takes time to propagate across Google Cloud global infrastructure.
    3. Request User Confirmation: Prompt the user for approval before applying the changes to the live environment.
  • Post-Execution Verification: After the user approves and the mutating policy change is executed, run the corresponding verification command (see references/v1-allow-policies.md and references/v2-deny-policies.md for exact verification steps) to verify that the active state matches expectations before reporting completion.
  • Security Guardrail (Public & Blanket Access Refusal): Never grant allUsers or allAuthenticatedUsers basic roles (roles/owner, roles/editor, roles/viewer, roles/admin, roles/writer, and roles/reader) or broad permissions. Explicitly refuse blanket public access requests, explain the severe security risks of public project ownership/access, and propose scoped, least-privileged role bindings for specific authenticated identities instead.

Supporting Links

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Create Terraform files that define alerts for AI agent latency, errors, token use, safety, security, and response quality. Check telemetry and existing policies first, then validate the generated configuration. Quality alerts require Vertex AI.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Configure alerts for agent latency and error rates
  • Monitor rapid increases in token usage
  • Monitor safety triggers and permission denials
google/skills2.2만2026년 10월 23일 업데이트

agent-platform-deploy

Google 공식무료

Deploy Model Garden models to Agent Platform endpoints, the addresses used for model requests. Check supported hardware and estimated hourly costs, inspect deployment progress, test predictions, and remove deployed resources after use.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Choose a deployable model and supported hardware
  • Estimate hourly deployment costs before approval
  • Check deployment progress and test predictions
google/skills2.2만2026년 10월 23일 업데이트

Manages Agent Platform endpoints, the stable URLs used to serve online model predictions. It supports listing, inspecting, creating, updating, and deleting endpoints, plus troubleshooting permission errors, quota limits, and resources that are busy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Listing endpoints and checking their configuration
  • Creating an endpoint before model deployment
  • Updating endpoint display names or labels
google/skills2.2만2026년 10월 23일 업데이트

agent-platform-eval-flywheel

Google 공식무료

Evaluate AI models and agents on Google Cloud using test datasets and scoring criteria. Generate simulated user scenarios, analyze failures, and compare results across changes to guide improvements to prompts and code.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Build evaluation datasets from conversation logs
  • Generate simulated user scenarios
  • Choose scoring criteria for responses and tool use
google/skills2.2만2026년 10월 23일 업데이트

agent-platform-inference

Google 공식무료

Call Gemini and OpenMaaS models such as Llama, DeepSeek, and Qwen through Google Cloud Agent Platform. Prepare authentication and SDK code, run prompts, configure connection endpoints, and troubleshoot common request errors.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Send a test prompt to Gemini
  • Call Llama or DeepSeek with the OpenAI SDK
  • Write code to call an existing custom endpoint
google/skills2.2만2026년 10월 23일 업데이트

Guides migration from Google AI Studio’s Gemini API to Gemini Enterprise Agent Platform on Google Cloud, covering billing, access permissions, authentication, and connection settings for SDKs and supported agent tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Moving a Gemini application to Google Cloud
  • Using Google Cloud credits for Gemini API calls
  • Unifying agent authentication and billing
google/skills2.2만2026년 10월 23일 업데이트

google의 스킬 모두 보기

이 스킬의 문제 신고