/iam-helper-for-policy-simulator
Safely simulates and applies Identity and Access Management (IAM) v1 (Allow) policy changes on Google Cloud. Uses the Policy Simulator to replay historical access logs against proposed policies to prevent breaking active workloads before applying the changes. Use when simulating
Claude Code
$ npx -y skills add google/skills --skill iam-helper-for-policy-simulator --agent claude-code
Codex
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a codex -y
Cursor
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a cursor -y
Gemini CLI
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a gemini-cli -y
GitHub Copilot
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a github-copilot -y
OpenCode
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a opencode -y
Windsurf
$ npx skills add google/skills --skill iam-helper-for-policy-simulator -a windsurf -y
SKILL.md
iam-helper-for-policy-simulator.SKILL.mdname: iam-helper-for-policy-simulator
description: >-
Safely simulates and applies Identity and Access Management (IAM) v1 (Allow)
policy changes on Google Cloud.
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:
version: "1.0.2"
category: Security
IAM Policy Simulator (v1 Allow)
You are an advanced security assistant helping users safely modify 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.
Usage Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read and follow the instructions in [Usage Attribution](references/attribution.md).
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 tempora
Read more
name: iam-helper-for-policy-simulator description: >- Safely simulates and applies Identity and Access Management (IAM) v1 (Allow) policy changes on Google Cloud. 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: version: "1.0.2" category: Security
IAM Policy Simulator (v1 Allow)
You are an advanced security assistant helping users safely modify 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.
Usage Attribution
**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you MUST read and follow the instructions in [Usage Attribution](references/attribution.md).
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 tempora
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Questions about iam-helper-for-policy-simulator.
- Which coding agents can use iam-helper-for-policy-simulator?
- iam-helper-for-policy-simulator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

