awslabs/hyperpod-ssm
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.
npx skills add https://github.com/awslabs/agent-plugins --skill hyperpod-ssm
aws CLI v2, authenticated for the target account/Region.session-manager-plugin — installed alongside the AWS CLI.jq — the scripts build JSON payloads with it.unbuffer (from the expect package) — wraps aws ssm start-session with a PTY so the session-manager-plugin flushes stdout instead of racing to close. Without it, calls intermittently return empty output with Cannot perform start session: EOF even when the command ran. Install with sudo yum install expect, sudo apt install expect, or brew install expect. ssm-exec.sh detects and uses it automatically; falls back with a warning if missing.Target: sagemaker-cluster:<CLUSTER_ID>_<GROUP_NAME>-<INSTANCE_ID>
CLUSTER_ID: Last segment of cluster ARN (NOT the cluster name). Extract via get-cluster-info.sh.GROUP_NAME: Instance group name — retrieve via list-nodes.sh.INSTANCE_ID: EC2 instance ID (e.g., i-0123456789abcdef0)Three scripts under scripts/. Resolve cluster info and nodes once, then execute per node.
scripts/get-cluster-info.sh CLUSTER_NAME [--region REGION]
# Output: {"cluster_id":"...","cluster_arn":"...","cluster_name":"...","region":"..."}
scripts/list-nodes.sh CLUSTER_NAME [--region REGION] [--instance-group GROUP] [--instance-id ID]
# Output: JSON array of ClusterNodeSummaries (InstanceId, InstanceGroupName, InstanceStatus, etc.)
list-cluster-nodes paginates at 100 nodes. This script handles pagination automatically.
# Execute — with pre-built target
scripts/ssm-exec.sh --target "sagemaker-cluster:CLUSTERID_GROUP-INSTANCEID" 'command' [--region REGION]
# Execute — with parts
scripts/ssm-exec.sh --cluster-id ID --group GROUP --instance-id INSTANCE_ID 'command' [--region REGION]
# Upload
scripts/ssm-exec.sh --target TARGET --upload LOCAL_PATH REMOTE_PATH [--region REGION]
# Read remote file
scripts/ssm-exec.sh --target TARGET --read REMOTE_PATH [--region REGION]
SSM start-session rate limit: 3 TPS per account. Plan batch size and delay accordingly.
aws ssm send-command does NOT support sagemaker-cluster: targets — only start-session works.
When the scripts aren't suitable, use aws ssm start-session directly with AWS-StartNonInteractiveCommand. Wrap every invocation in unbuffer — without it, stdout is intermittently empty (see Prerequisites).
cat > /tmp/cmd.json << 'EOF'
{"command": ["bash -c 'echo hello && whoami'"]}
EOF
unbuffer aws ssm start-session \
--target sagemaker-cluster:{CLUSTER_ID}_{GROUP_NAME}-{INSTANCE_ID} \
--region REGION \
--document-name AWS-StartNonInteractiveCommand \
--parameters file:///tmp/cmd.json
--parameters — inline parameters break with special characters.command parameter is argv, not shell input. Wrap multi-statement scripts in bash -c '...' so pipes, semicolons, and redirects evaluate.| Task | Command |
| ---------------- | -------------------------------------------------------------- |
| Lifecycle logs | cat /var/log/provision/provisioning.log |
| Memory | free -h |
| Disk/mounts | df -h && lsblk |
| GPU status | nvidia-smi |
| GPU memory | nvidia-smi --query-gpu=memory.used,memory.total --format=csv |
| EFA/network | fi_info -p efa |
| CloudWatch agent | sudo systemctl status amazon-cloudwatch-agent |
| Top processes | ps aux --sort=-%mem \| head -20 |
root.--document-name to get a shell.AWS-StartNonInteractiveCommand.Take awslabs/hyperpod-ssm from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference brew.
Without those the skill loads but fails at the first command.