SageMaker IAM Preflight

Every SageMaker resource needs an execution role — the IAM role SageMaker assumes to read model artifacts from S3, pull serving containers from ECR, and write logs. Most deployments fail here because the script tried to create a new role without checking if a usable one already existed, then blew up because the caller is an SSO principal.

This skill encodes the right order: discover, validate, only create if necessary.

Running the helpers (cross-platform)

The helpers are Python so they run identically on Windows, macOS, and Linux:

bash

python3 scripts/check_role.py        # macOS / Linux
python  scripts/check_role.py        # Windows (PowerShell / cmd)

Run them from the shell where the AWS CLI already works — i.e. wherever

aws sts get-caller-identity

succeeds. The script shells out to that same

aws

binary and inherits the shell's profile, region, SSO session, proxy, and credential chain.

Windows / WSL / Git Bash caveat. Do not invoke these through a Bash shim (WSL, Git Bash, MSYS) on Windows. Those Bash environments frequently do not share the Windows AWS config, credentials, SSO sessions, environment variables, or proxy settings — so
aws sts get-caller-identity
fails inside Bash even when it works natively in PowerShell. (This is exactly why the old
.sh
helpers failed on Windows and were replaced with Python.) If you're in PowerShell, run
python ...\check_role.py
directly in PowerShell. If the helper still can't see your identity, run the same discovery natively (see "Native AWS CLI equivalent" below) in the shell where
aws sts get-caller-identity
returns your ARN.

Order of operations

Step 1 — Did the user provide a role?

Validate that one specifically:

bash

python3 scripts/check_role.py "<role-name-or-arn>"

On success it prints the ARN to stdout (exit 0). On failure it logs why on stderr. Don't try to silently fix a broken role — surface the problem.

Step 2 — Discover existing roles

bash

python3 scripts/check_role.py

Lists roles matching common SageMaker patterns (

AmazonSageMaker-ExecutionRole-*

SageMakerExecutionRole*

, etc.), ranks by last-used date (most recent first), validates trust policy in that order, returns the first usable ARN. Most accounts that have used SageMaker before already have one.

Why rank by last-used: in accounts with multiple roles (auto-generated 2021 role + manual project role + etc.), the alphabetically-first one is rarely the actively-maintained one. The most-recently-used role is more likely to have current policies — including cross-account ECR pull. The script prints the ranking so you can see which got picked.

IAM frequently reports no

RoleLastUsed

at all (tracking only covers recent activity). When every candidate ties at "never used", the script falls back to newest creation date — a newer role is more likely to have current policies than a 2021 leftover.

Step 3 — Create, only if discovery found nothing

If the user can create (has IAM permissions):

bash

python3 scripts/create_role.py "<role-name>" "<model-bucket>"

Second arg scopes S3 access to a specific bucket. Omit if unknown; script warns and the user can update the policy later.

If the user cannot create (SSO principal —

hf-cloud-aws-context-discovery

will have flagged this):

Stop and surface this clearly. Don't retry alternative IAM operations hoping one works:

I can't find an existing SageMaker execution role, and you're authenticated via SSO so you can't create one directly. Please either:
Ask your AWS admin for a SageMaker execution role ARN, or
Have them grant your SSO permission set
iam:CreateRole
,
iam:AttachRolePolicy
,
iam:PutRolePolicy

Specific instructions get unblocked fast; vague "permission denied" messages don't.

What "validated" means

A role is usable when (1) it exists, (2) its trust policy allows

sagemaker.amazonaws.com

sts:AssumeRole

— see

references/trust-policy.json

for the canonical form.

check_role.py

verifies these two. It does not deep-check permissions because comprehensive analysis is expensive (

iam:SimulatePrincipalPolicy

per action) and most existing SageMaker roles are over-permissioned via

AmazonSageMakerFullAccess

. If you suspect a permissions issue at deploy time, the deployment error will tell you which action was denied — fix it then, not preemptively.

Minimum permissions

references/minimum-permissions.json

covers what SageMaker actually needs:

```
s3:GetObject
```
+
```
s3:ListBucket
```
on the model artifact bucket
ECR pull permissions
CloudWatch logs and metrics

Layered on top of

AmazonSageMakerFullAccess

(attached by

create_role.py

). Replace

REPLACE_WITH_MODEL_BUCKET

in the template with the actual bucket name —

create_role.py

does this automatically when given a bucket as its second argument.

Native AWS CLI equivalent (fallback)

If the Python helper can't run or can't see your identity (rare — usually a broken PATH or running under a Bash shim that lacks AWS context), do the same preflight by hand in the shell where

aws sts get-caller-identity

works. The logic is just AWS CLI calls; the helper exists only to bundle and rank them.

PowerShell:

powershell

# 1. List candidate SageMaker roles
aws iam list-roles --query "Roles[?contains(RoleName,'SageMaker') || contains(RoleName,'sagemaker')]" --output json

# 2. For each candidate, confirm the trust policy allows sagemaker.amazonaws.com
aws iam get-role --role-name <role-name> --query "Role.AssumeRolePolicyDocument" --output json

# 3. Prefer the most-recently-used role with SageMaker-execution naming
#    (LastUsedDate is often None for every role — then prefer newest CreateDate)
aws iam get-role --role-name <role-name> --query "Role.[RoleLastUsed.LastUsedDate, CreateDate]" --output text

Pick the most-recently-used role whose trust policy contains

sagemaker.amazonaws.com

. Use the resulting ARN exactly as if

check_role.py

had returned it. Bash/macOS/Linux use the same commands.

hf-cloud-sagemaker-iam-preflight

NPX Install

Tags

SKILL.md Content

SageMaker IAM Preflight

Running the helpers (cross-platform)

Order of operations

Step 1 — Did the user provide a role?

Step 2 — Discover existing roles

Step 3 — Create, only if discovery found nothing

What "validated" means

Minimum permissions

Native AWS CLI equivalent (fallback)