Skip to content
Development
Skill

/iam-helper-for-policy-simulator

Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating or applying IAM v1 allow policies

From plugin
google-skills
20k137 skills1 MCP
Install
$ npx -y skills add google/skills --skill iam-helper-for-policy-simulator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/iam-helper-for-policy-simulator

Context preview

The summary Claude sees to decide when to auto-load this skill.

Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating or applying IAM v1 allow policies

SKILL.md

iam-helper-for-policy-simulator.SKILL.md
name: iam-helper-for-policy-simulator
description: >-
  Safely simulates and applies Google Cloud IAM v1 (Allow) policy changes.
  Uses the Policy Simulator to replay historical access logs against proposed policies
  to prevent breaking active workloads before applying the changes. Use when
  simulating or applying IAM v1 allow policies across Projects, Folders, or Organizations.
  Don't use for analyzing IAM v2 deny policies, VPC Service Controls, or performing
  general policy troubleshooting.
metadata:
  category: Security

IAM Policy Simulator (v1 Allow)

You are an advanced security assistant helping users safely modify Google Cloud IAM policies. You must NEVER apply a modifying policy change without first running a Policy Simulation to ensure existing workloads are not disrupted. You must only use standard public gcloud commands.

Core Concepts & Prerequisites

  • **IAM v1 (Allow Policies)**: Specifies who has access (a role) to a

resource.

  • **Policy Simulator**: Replays the last 90 days of access logs against a

proposed policy to verify if any historical access would be blocked by the change.

  • **Required Permissions**: The execution environment must have

`roles/policysimulator.admin`, `roles/cloudasset.viewer`, and the appropriate IAM Admin roles for the target resource.

  • **Resource Scope**: Changes can target Projects, Folders, or Organizations.

Execution Workflow: Plan, Simulate, Analyze, Apply

Step 1: Retrieve Current Policy (Plan)

Fetch the baseline IAM v1 policy for the target resource (Project, Folder, or Organization) and save it to the `/tmp/` directory:

**For Projects:**

gcloud projects get-iam-policy TARGET_PROJECT_ID --format=json > /tmp/current_policy.json

**For Folders:**

gcloud resource-manager folders get-iam-policy TARGET_FOLDER_ID --format=json > /tmp/current_policy.json

**For Organizations:**

gcloud organizations get-iam-policy TARGET_ORG_ID --format=json > /tmp/current_policy.json

**CRUCIAL SAFETY GATE:** Verify that the policy was successfully retrieved. If the command fails or the resulting JSON is empty, you MUST terminate the workflow immediately and inform the user. Do not proceed to prepare or simulate an empty or partial policy.

Step 2: Prepare Proposed Policy

Create a `/tmp/proposed_policy.json` file. Modify `/tmp/current_policy.json` by adding or removing role bindings in the `bindings` array to match the requested change.

**CRUCIAL NO-OP CHECK:** Compare the proposed policy to the current policy. If no changes were actually made (e.g., you are trying to remove a role the user doesn't hold, or add a role they already have), you MUST inform the user that no changes are necessary and **terminate the workflow immediately**. Do not run a simulation.

Step 3: Run Policy Simulation

Run the simulator to replay the last 90 days of access logs against the proposed policy change. Execute the exact command for your resource type:

**For Projects:**

gcloud iam simulator replay-recent-access //cloudresourcemanager.googleapis.com/projects/TARGET_PROJECT_ID /tmp/proposed_policy.json --project=TARGET_PROJECT_ID --format=json > /tmp/simulation_results.json

**For Folders:**

gcloud iam simulator replay-recent-access //cloudresourcemanager.googleapis.com/folders/TARGET_FOLDER_ID /tmp/proposed_policy.json --format=json > /tmp/simulation_results.json

**For Organizations:**

gcloud iam simulator replay-recent-access //cloudresourcemanager.googleapis.com/organizations/TARGET_ORG_ID /tmp/proposed_policy.json --format=json > /tmp/simulation_results.json

*(Note: If the Policy Simulator API is not enabled, it will prompt you to enable it. Select Yes. Do not use placeholders verbatim; replace TARGET_PROJECT_ID, TARGET_FOLDER_ID, or TARGET_ORG_ID with the actual resource ID).*

**CRUCIAL SAFETY GATE:** Verify the command exited successfully. If the simulator command crashes, times out, or returns a non-zero exit code, you MUST NOT treat the failure as a "safe" result. Terminate the workflow immediately and report the simulator failure to the user.

Step 4: Analyze Simulation Results

Analyze the contents of `/tmp/simulation_results.json` using the provided helper script. Do not write custom scripts on the fly. You MUST execute the following command:

python3 scripts/analyze_simulation.py
  • **SAFE (No Breakage):** If the script outputs `REVOKED_COUNT=0`, the change

is safe.

  • **UNSAFE (Breakage):** If the script outputs `REVOKED_COUNT` > 0 (meaning

the logs contain `ACCESS_REVOKED` or `ACCESS_MAYBE_REVOKED`):

  • Identify the `principal`, `permission`, and `fullResourceName` from the

printed JSON.

  • **Do NOT apply the policy.**
  • The change will break an active workload. Inform the user of the

specific disrupted accesses.

Step 5: Apply Policy (Only if Safe)

If and only if the simulation in Step 4 was SAFE (No Breakage), prompt the user: *"The simulation showed no disrupted access. Do you want to apply this policy change? (Yes/No)"*.

  • **If Yes:** Apply the policy using the correct command for the resource

type:

**For Projects:**

gcloud projects set-iam-policy TARGET_PROJECT_ID /tmp/proposed_policy.json

**For Folders:**

gcloud resource-manager folders set-iam-policy TARGET_FOLDER_ID /tmp/proposed_policy.json

**For Organizations:**

gcloud organizations set-iam-policy TARGET_ORG_ID /tmp/proposed_policy.json
  • **If No:** Terminate the workflow.

Step 6: Cleanup (Always Run)

After applying the policy, declining the prompt, or terminating early due to a NO-OP/failure, always delete the temporary files to prevent cross-contamination in future runs:

rm -f /tmp/current_policy.json /tmp/proposed_policy.json /tmp/simulation_results.json
Read more
Ships withgoogle-skills

This repository contains Agent Skills for Google products and technologies, including Google Cloud.

Get the whole plugin

Other skills on google-skills.