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.
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.
npx skills add awslabs/agent-plugins --skill hyperpod-slurm-debuggergit clone --depth 1 https://github.com/awslabs/agent-pluginsWrote 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.
[](https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-slurm-debugger)<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-slurm-debugger"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-slurm-debugger/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.
<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-slurm-debugger"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-slurm-debugger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
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 Prompt Injection · line 99 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 104 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00162 | $0.02962 |
| Opus 5.5 | $0.00065 | $0.01185 |
| Sonnet 5.5 | $0.00032 | $0.00592 |
| Haiku 4.5 | $0.00016 | $0.00296 |
Grade A, and why
hyperpod-slurm-debugger scanned grade A with 0 findings 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.
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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperPod Slurm Debugger
Diagnostic-only. Identify and classify Slurm scheduler and node-daemon issues on HyperPod Slurm clusters. Do not run, recommend, or print any state-mutating command. For remediation, link to the official AWS or Slurm documentation.
When to invoke
Invoke when the user reports any of the symptoms in the decision table.
When NOT to invoke
- Cluster has
Orchestrator.Eks— invokehyperpod-node-debuggerorhyperpod-nccl. - Single-node hardware fault with healthy Slurm scheduler — invoke
hyperpod-node-debugger. - NCCL training-hang investigation — invoke
hyperpod-nccl. - Node unreachable via SSM — invoke
hyperpod-ssm.
Constraints
- Read-only. Do not run, recommend, or print state-mutating commands.
- For any remediation, link to AWS or Slurm docs. The user authorizes and executes.
- IaC-managed cluster (Terraform / CloudFormation / CDK): warn that direct mutation drifts the live state from the IaC plan.
Canonical recovery URLs: references/slurm-details.md → Authoritative recovery documentation.
Prerequisites
- AWS CLI v2, authenticated for the target account and region with permissions:
sagemaker:DescribeCluster,sagemaker:ListClusterNodesssm:StartSessionon the HyperPod-created SSM document
- Session Manager plugin installed locally.
jq≥ 1.6.unbuffer(from theexpectpackage). Required — without itaws ssm start-sessionreturns empty stdout intermittently withCannot perform start session: EOFand every check silently misreports. Install:expectpackage on Amazon Linux / RHEL / Debian / Ubuntu / macOS. Script exits at prerequisite check if missing.
Procedure
Step 1 — Collect inputs
Ask the user for:
- HyperPod cluster name (not Slurm partition name).
- AWS region.
- Optional: a specific Slurm node name.
What ships with it
2 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.
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.
- 1mo ago First seen · 244 lines · 162 tokens per session scan A bd4c6b697fbc
hyperpod-slurm-debugger is a skill published in the GitHub repository awslabs/agent-plugins (924 stars, last pushed 2d ago), licensed Apache-2.0. It adds 162 tokens to every session and 2,962 once invoked, about $0.0006 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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