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-performance-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-performance-debugger)<a href="https://agentmods.dev/skills/awslabs/agent-plugins/hyperpod-performance-debugger"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-performance-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-performance-debugger"><img src="https://agentmods.dev/badge/skills/awslabs/agent-plugins/hyperpod-performance-debugger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 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 59 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 62 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 67 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 65 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 66 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 68 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 69 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 | $0.00133 | $0.03618 |
| Opus 5.5 | $0.00053 | $0.01447 |
| Sonnet 5.5 | $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 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 — 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.
- 1mo 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 (921 stars, last pushed yesterday), licensed Apache-2.0. It adds 133 tokens to every session and 3,618 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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