Marketing Foundation
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
The tunnel uses the same cards as the catalogue. Browse only as deep as needed — or load a broad bundle immediately.
SEO, Sales, Agents or another broad area → one bundle call → work.
Read-only access to published skills. Default 8, maximum 10 skills / 120,000 characters.
Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.
Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.
Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.
Review the journey from landing page and lead capture through registration, first value and transparent upgrades.
Plan a campaign, draft its channel content and review the work against actual brand guidance.
Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.
Understand customer needs, compare competitors and plan a community around real member value.
Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.
Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.
Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.
Replay historical access against proposed IAM v1 allow policies before a separately approved change.
---
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:
version: "1.0.0"
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:**
```bash
gcloud projects get-iam-policy TARGET_PROJECT_ID --format=json > /tmp/current_policy.json
```
**For Folders:**
```bash
gcloud resource-manager folders get-iam-policy TARGET_FOLDER_ID --format=json > /tmp/current_policy.json
```
**For Organizations:**
```bash
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:**
```bash
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:**
```bash
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:**
```bash
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:
```bash
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:**
```bash
gcloud projects set-iam-policy TARGET_PROJECT_ID /tmp/proposed_policy.json
```
**For Folders:**
```bash
gcloud resource-manager folders set-iam-policy TARGET_FOLDER_ID /tmp/proposed_policy.json
```
**For Organizations:**
```bash
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:
```bash
rm -f /tmp/current_policy.json /tmp/proposed_policy.json /tmp/simulation_results.json
```
Replay historical access against proposed IAM v1 allow policies before a separately approved change.
Complete original guidance with source attribution and declared limitations.
Clarify the actual task, inspect available evidence and plan the relevant source workflow within authorized scope.
Target resource, baseline and proposed IAM policies, simulation access and policy owner.
Historical replay does not prove future access or least privilege. The required analyzer script is not bundled. Fixed /tmp filenames can collide; use a private per-run directory, preserve baseline/etag and verify the helper before any application. Source requires confirmation before writes. Referenced scripts, templates, packages and remote documentation are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive security certification.
Use Google IAM Policy Simulation for [TASK]. Clarify Target resource, baseline and proposed IAM policies, simulation access and policy owner. Identify missing dependencies and assumptions. Loading this guidance grants no permission to change resources, transfer data or incur charges.
Automatic cloud execution, bypassing resource-owner permissions, or treating untested examples as deployed and verified results.
German task routing and precise scope. Original attribution: Google (google/skills repository). Historical replay does not prove future access or least privilege. The required analyzer script is not bundled. Fixed /tmp filenames can collide; use a private per-run directory, preserve baseline/etag and verify the helper before any application. Source requires confirmation before writes. Referenced scripts, templates, packages and remote documentation are not bundled or installed. Brief obvious-danger screening only; no functional test or comprehensive security certification.
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