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 agentmods add skills/awslabs/agent-plugins/hyperpod-cluster-debuggernpx skills add awslabs/agent-plugins --skill hyperpod-cluster-debuggergit clone --depth 1 https://github.com/awslabs/agent-pluginsWhat 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 | $0.00080 | $0.03211 |
| Opus 5 | $0.00040 | $0.01605 |
| Sonnet 5 | $0.00016 | $0.00642 |
| Haiku 4.5 | $0.00008 | $0.00321 |
Grade A, and why
hyperpod-cluster-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 2d 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 — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperPod Cluster Debugger
Operating policy. Run read-only diagnostics yourself. Never run a command that changes cluster, node, or workload state — present each one as a Suggested command (run this yourself) block and wait for the customer to run it. Destructive order: investigate → reboot → replace (replace destroys root + secondary volumes; not supported on Slurm controller nodes).
Before any state-changing CLI: ask if it's IaC-managed. HyperPod clusters, SGs, EKS access entries, and IAM are usually provisioned via CloudFormation / CDK / Terraform. If yes, the fix belongs in IaC — running the CLI will drift and the next deploy reverts it. Use the CLI only when IaC is unavailable (locked out, predates IaC, mid-review).
scripts/diagnose-cluster.sh is read-only: it collects state via AWS APIs (and SSM for Slurm controller health) and prints each issue as [FAIL] ... → references/<file>.md § <section>.
| Reference | Open when |
|---|---|
| cluster-diagnostics-detail.md | Per-finding remediation runbook (§ A–L) |
| cluster-operations.md | Operational deep-dives (EFA SG, EKS access, SSM, Slurm, filesystem) |
| cloudformation-errors.md | § H needs the full per-resource CFN error catalog |
| capacity-planning.md | § B or --validate flags capacity / subnet sizing |
| lifecycle-scripts.md | § C points at a specific lifecycle failure |
| iam-permissions.md | Full IAM policy for the diagnostic |
What ships with it
7 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.
- 2d ago First seen · 199 lines · 80 tokens per session scan A 99020e64d2a8
hyperpod-cluster-debugger is a skill published in the GitHub repository awslabs/agent-plugins (876 stars, last pushed 6d ago), licensed Apache-2.0. It adds 80 tokens to every session and 3,211 once invoked, about $0.0004 per session on Opus 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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