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-performance-debuggernpx skills add awslabs/agent-plugins --skill hyperpod-performance-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 | $0.00133 | $0.03618 |
| Opus 5 | $0.00067 | $0.01809 |
| Sonnet 5 | $0.00027 | $0.00724 |
| Haiku 4.5 | $0.00013 | $0.00362 |
Grade A, and why
hyperpod-performance-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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HyperPod Performance Debugger
- Uneven NCCL performance across nodes — workload faster on some node sets than others, pairwise bandwidth variance, suspected straggler.
- Poor filesystem performance — training stalled on data loading, checkpoint save/load dominating step time, FSx throughput saturated.
Scope and delegation
Route findings outside the two in-scope scenarios to the owner skill below.
| Concern observed | Route to |
|---|---|
| GPU hardware fault, ECC, NVLink, Xid, DCGM diagnostics, drain/replace | hyperpod-node-debugger (§ F Hardware/Auto-Repair, § G GPU) |
Cannot allocate memory at os.fork(), root volume exhausted |
hyperpod-node-debugger (§ I Resource Exhaustion) |
| NCCL timeouts, hangs, AllReduce stalls, EFA TCP fallback, RDMA memlock | hyperpod-nccl |
| EFA / NCCL / CUDA / NVIDIA driver version drift across nodes | hyperpod-version-checker |
| EFA self-referencing security-group rule missing — single node | hyperpod-node-debugger § A (EFA / Security Group) |
| EFA self-referencing security-group rule missing — cluster-wide | hyperpod-cluster-debugger § A (EFA Health Checks) |
| Slurm node state changes (drain / resume / reboot) | hyperpod-slurm-debugger |
| Diagnostic bundle for AWS Support | hyperpod-issue-report |
| Shell access on a node | hyperpod-ssm |
Operating policy
- Read-only. Print commands the customer runs; do not execute commands that modify state.
- Container vs host version comparisons go through
hyperpod-version-checker. - Xid lines, ECC counts, NVLink lane state, and thermal readings get surfaced; the catalog and verdict live in
hyperpod-node-debugger§ G.
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.
- 2d ago First seen · 186 lines · 133 tokens per session scan A 5a32c6f8bc8d
hyperpod-performance-debugger is a skill published in the GitHub repository awslabs/agent-plugins (876 stars, last pushed 5d ago), licensed Apache-2.0. It adds 133 tokens to every session and 3,618 once invoked, about $0.0007 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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