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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

Install / Use

npx skills add google/skills --skill iam-helper-for-policy-simulator

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

94/100

Category

Security

Supported Platforms

Universal

Our assessment of iam-helper-for-policy-simulator

iam-helper-for-policy-simulator scores 94/100 on our quality scale, 181st of 544 Security skills we index (top 34%).

Its SKILL.md is 5.8 KB long, well organised into 9 sections with 11 code examples: a solid amount of guidance for an agent.

With 20,340 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
18/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 2 days ago, so iam-helper-for-policy-simulator is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

iam-helper-for-policy-simulator compared with similar skills

All 4 of these similar skills score higher than iam-helper-for-policy-simulator; compare them before choosing.

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iam-helper-for-policy-simulator (this skill)by google9420.3k2d agoSKILL.md
algorithmic-artby anthropics100177.9k3d agoSKILL.md
pptxby anthropics100177.9k3d agoSKILL.md
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Frequently asked questions

How do I install iam-helper-for-policy-simulator?
Run npx skills add google/skills --skill iam-helper-for-policy-simulator. The install tabs above show the steps for each supported agent.
Which AI agents does iam-helper-for-policy-simulator work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is iam-helper-for-policy-simulator safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is iam-helper-for-policy-simulator still maintained?
The repository was last updated 2 days ago, so iam-helper-for-policy-simulator is actively maintained.

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:

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

Related Skills

View on GitHub
GitHub Stars20.3k
CategorySecurity
Updated2d ago
Forks1.7k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions