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-version-checkergit 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-version-checker)<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-version-checker"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-version-checker/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-version-checker"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-version-checker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00120 | $0.00871 |
| Opus 5.5 | $0.00048 | $0.00348 |
| Sonnet 5.5 | $0.00024 | $0.00174 |
| Haiku 4.5 | $0.00012 | $0.00087 |
Grade A, and why
hyperpod-version-checker 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperPod Version Checker
Upload to cluster nodes via hyperpod-ssm skill, then execute.
Usage
# Text report to console + file
bash hyperpod_check_versions.sh
# JSON only to stdout (text report still saved to file) — best for piping/parsing
bash hyperpod_check_versions.sh --json
# Custom output file
bash hyperpod_check_versions.sh --output /tmp/versions.txt
# No color (for logging)
bash hyperpod_check_versions.sh --no-color
Output file: component_versions_<hostname>_<timestamp>.txt (default)
What It Checks
| Component | Detection Method | Applicable When |
|---|---|---|
| NVIDIA Driver | nvidia-smi |
GPU instances (p3/p4/p5/g5) |
| CUDA Toolkit | nvcc, /usr/local/cuda symlink |
GPU instances |
| cuDNN | Header file, packages | GPU instances doing deep learning |
| NCCL | Library filename, header, packages | Distributed GPU training |
| EFA | /opt/amazon/efa_installed_packages, fi_info |
EFA-capable instances (p4d/p4de/p5/trn1/trn2) |
| AWS OFI NCCL | efa_installed_packages, library search |
EFA + NCCL workloads |
| GDRCopy | rpm/dpkg, kernel module | GPU instances with RDMA (p4d+/p5) |
| MPI | mpirun, /opt/amazon/openmpi |
Distributed training |
| Neuron SDK | neuronx-cc, neuron-ls, packages |
Trainium/Inferentia (trn1/trn2/inf1/inf2) |
| Python/PyTorch | python3, torch import |
ML workloads |
| Container runtime | docker, containerd, kubectl, nvidia-ctk |
EKS clusters |
What ships with it
1 file 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 · 69 lines · 120 tokens per session scan A ce22dec2382a
hyperpod-version-checker is a skill published in the GitHub repository awslabs/agent-plugins (921 stars, last pushed yesterday), licensed Apache-2.0. It adds 120 tokens to every session and 871 once invoked, about $0.0005 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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