hyperpod-ssm

hyperpod-ssm is a skill for Claude Code from awslabs/agent-plugins. It costs 105 tokens per session (1,209 once invoked), scanned B, original, Apache-2.0.

A remote-access tool for running commands and transferring files on AWS SageMaker HyperPod nodes through AWS Systems Manager (SSM). SSM is AWS's managed connection method, so direct SSH access is not required.

In plain words
What is it for?
Use it to upload files, execute commands, and access individual HyperPod nodes through SSM.
Why use it?
It provides the standard way to access HyperPod nodes when SSH is unavailable. It also supplies scripts for finding the cluster and node identifiers needed for each operation.

Skill for Claude Code ✓ vendor

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sagemaker-ai plugin — 19 skills shipped together

Good fit Use it to upload files, execute commands, and access individual HyperPod nodes through SSM.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/awslabs/agent-plugins/hyperpod-ssm
About the project

awslabs/agent-plugins is a collection of plugins, skills, instructions, an MCP server, a hook, and a setting that guide AI coding agents in architecting, deploying, and operating software on Amazon Web Services. It is for developers using coding agents such as Claude Code, Codex, and Cursor with AWS projects. The catalogue entries are the repository's own agent workflows and supporting components.

awslabs/agent-plugins · 932 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add awslabs/agent-plugins --skill hyperpod-ssm
Clone the repo
git clone --depth 1 https://github.com/awslabs/agent-plugins

Made for: Claude Code.

Or install sagemaker-ai, the plugin that ships this one along with the rest of its 19 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for hyperpod-ssm

README.md
[![agentmods](https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-ssm/github.svg)](https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-ssm)
Your own site
<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-ssm"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-ssm/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for hyperpod-ssm

Your own site · 80×15
<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-ssm"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-ssm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,209 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Privilege Escalation · line 15
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 96
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.01209
Opus 5.5 $0.00042 $0.00484
Sonnet 5.5 $0.00021 $0.00242
Haiku 4.5 $0.00011 $0.00121

Measured 1mo ago against content hash 3e57b678686d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

hyperpod-ssm scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/get-cluster-info.sh, scripts/list-nodes.sh, scripts/ssm-exec.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- **`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 `
plugins/sagemaker-ai/skills/hyperpod-ssm/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

HyperPod SSM Access

Prerequisites

  • 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.

SSM Target Format

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)

Scripts

Three scripts under scripts/. Resolve cluster info and nodes once, then execute per node.

get-cluster-info.sh — Resolve cluster name → ID (call once)

scripts/get-cluster-info.sh CLUSTER_NAME [--region REGION]
# Output: {"cluster_id":"...","cluster_arn":"...","cluster_name":"...","region":"..."}

list-nodes.sh — List all nodes with pagination (call once)

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.

ssm-exec.sh — Execute command on a node (call per node)

# 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]

Read the full file on GitHub · 107 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 107 lines · 105 tokens per session scan B 3e57b678686d

Subscribe to this mod's changes

hyperpod-ssm is a skill published in the GitHub repository awslabs/agent-plugins (932 stars, last pushed 12d ago), licensed Apache-2.0. It adds 105 tokens to every session and 1,209 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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