AWS Cdk Development
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement…
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debugger --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .claude/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .claude/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debuggerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debugger --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .agents/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .agents/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debugger --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .cursor/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .cursor/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/awslabs/agent-plugins.git --path plugins/sagemaker-ai/skills/hyperpod-cluster-debugger--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debugger --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .gemini/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .gemini/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debuggerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .github/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .github/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install awslabs/agent-plugins hyperpod-cluster-debugger --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/awslabs/agent-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger .opencode/skills/hyperpod-cluster-debugger && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "hyperpod-cluster-debugger" agent skill from https://github.com/awslabs/agent-plugins/tree/main/plugins/sagemaker-ai/skills/hyperpod-cluster-debugger into .opencode/skills/hyperpod-cluster-debugger/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hyperpod-cluster-debugger", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
hyperpod-cluster-debuggerDiagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement…
Hyperpod Cluster Debugger is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement, CloudFormation nested-stack errors, post-maintenance rollback state, dangling nodes, autoscaler conflicts. Includes --validate pre-flight. Read-only.
Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/capacity-planning.md`, `references/cloudformation-errors.md` and `references/cluster-diagnostics-detail.md`).
It sits in DevOps & Cloud, covering Infrastructure as code. It works with AWS CloudFormation and Amazon Web Services. The repository describes itself as: Agent Plugins for AWS equip AI coding agents with the skills to help you architect, deploy, and operate on AWS. The licence is Apache-2.0.
2 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit da51970. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
bashawskubectlFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use aws and kubectl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hyperpod Cluster Debugger loads about 3.6k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 1,208 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from awslabs/agent-plugins at commit da51970, republished under its Apache-2.0 licence (© awslabs). 1,208 words, ~3,604 tokens.
.claude/skills/hyperpod-cluster-debugger/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.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 |
scripts/diagnose-cluster.sh (or --validate for pre-create).[FAIL] line, Read the referenced section.# Diagnose an existing cluster:
bash scripts/diagnose-cluster.sh --cluster <CLUSTER_NAME_OR_ARN> --region <REGION>
# Pre-flight (no cluster needed) — validates SGs, subnets, IAM, VPC endpoints,
# optionally S3 lifecycle scripts and per-AZ capacity:
bash scripts/diagnose-cluster.sh --validate --region <REGION> \
--sg-ids <sg-1,sg-2> --subnet-ids <sub-1,sub-2> [--iam-role <role-arn>] \
[--s3-uri s3://<BUCKET>/path/] [--instance-type ml.p5.48xlarge]Pass --instance-type when the target instance type is known — enables the per-AZ capacity check (warns if none of the provided subnets are in an AZ that offers that type, which causes insufficient-capacity failures at creation time).
Tags: [PASS] · [FAIL] (counted, has → references/... pointer) · [WARN] · [INFO]. Priorities: P0 blocks operation · P1 degraded · P2 informational.
Error messages / events:
| Signal | Section |
|---|---|
"EFA health checks did not run successfully" (public-doc verbatim signal) | A: EFA Health Checks |
| Insufficient-capacity or AZ-mismatch failure at creation | B: Capacity & AZ |
| Lifecycle-script failure or timeout during provisioning | C: Lifecycle Scripts |
| kubectl auth error (server asks for credentials / no API group list) | D: EKS Access |
InService but not all instances visible | E: Cluster Provisioning |
"Target is not connected" / SSM errors | F: SSM Connectivity |
Node replacement not happening / batch-replace not working | G: Node Replacement |
"Embedded stack failed" / any CloudFormation error | H: CloudFormation Errors |
UpdateClusterSoftware failed or cluster in post-maintenance rollback state | J: AMI & Cluster Updates |
Dangling / orphaned nodes in EKS vs list-cluster-nodes | K: Dangling Nodes & Cleanup |
| Cluster Autoscaler breaks after HyperPod attached | L: Autoscaler Compatibility |
| Slow I/O, FSx throughput saturated | cluster-operations.md § 9 |
| Slurm node name → instance ID lookup | I: Utilities |
SG missing self-reference. Add inbound + outbound self-ref to every SG on the cluster, plus least-privilege egress for the AWS APIs the node needs (HTTPS 443 to S3 / ECR / SageMaker / SSM / STS / CloudWatch Logs — via VPC-endpoint prefix-lists when possible). Full procedure: cluster-diagnostics-detail.md § A.
Instance type unavailable in the requested AZ. Verify with describe-instance-type-offerings, then change AZ, use Flexible Training Plans, or request ODCR. Full: § B · strategy: capacity-planning.md.
Script failed or timed out during provisioning. Read CloudWatch under /aws/sagemaker/Clusters/<name>/<id> — common causes: missing S3 VPC endpoint, IAM gap, CRLF line endings, instance-group name mismatch. Full: § C · layout: lifecycle-scripts.md.
IAM identity not in EKS access entries. Verify with sts get-caller-identity, create an access entry with admin policy, update kubeconfig. Full: § D.
InService without all instances is expected under Continuous Provisioning — failures surface as events, not cluster errors. For stuck Creating/Updating/Deleting: check CFN nested stacks (§ H), IAM, capacity, events; if stuck Deleting check VPC ENI dependencies. Full: § E.
Target is not connected: use sagemaker-cluster:<CLUSTER_ID>_<GROUP>-<INSTANCE_ID> format (not raw EC2 ID), install session-manager-plugin, confirm node Running. Check IAM + VPC endpoints on timeouts. Full: § F.
Auto-repair: confirm NodeRecovery=Automatic, check Health Monitoring Agent (HMA) logs + node labels / Slurm reason, confirm capacity. Manual: reboot first, replace only if reboot fails. Replace requires the cluster to have been patched via UpdateClusterSoftware at least once and cannot target a Slurm controller node. Full: § G.
Embedded stack failed hides the real error. Drill into nested stacks via Events tab (filter Failed) until you reach a non-stack resource. CLI: describe-stack-events --query 'StackEvents[?ResourceStatus==\CREATE_FAILED`]'`. Also covers SLR creation failures and permission-boundary denials. Full: § H · catalog: cloudformation-errors.md.
Map Slurm node names (ip-10-x-y-z) to HyperPod instance IDs via list-cluster-nodes or on-node /opt/ml/config/resource_config.json. Full: § I.
UpdateClusterSoftware fails and rolls back, or the cluster stays in a post-maintenance rollback state. Common causes: lifecycle script incompatible with new AMI, HMA version too old, insufficient rolling-update capacity. If the cluster has active nodes, collect diagnostics and escalate rather than delete-and-recreate. Full: § J.
Nodes in kubectl get nodes but not in list-cluster-nodes (ghost EKS nodes), or the inverse (HyperPod nodes that never registered kubelet). Script flags both. Full: § K.
Cluster Autoscaler errors on HyperPod provider IDs and breaks autoscaling for all node groups. No officially endorsed workaround — escalate to AWS Support. Karpenter does not conflict with HyperPod nodes by default. Full: § L.
aws CLI v2.13+ authenticated to the cluster's accountjq, python3, bash 4.2+kubectl authenticated to the EKS cluster (EKS checks skipped if absent)session-manager-plugin (Slurm controller health checks only)IAM policy: references/iam-permissions.md.
--region or set $AWS_DEFAULT_REGION.--cluster <NAME> (diagnose) or --validate (pre-create).--no-color to force off.| Failure | Script | Tell the customer |
|---|---|---|
aws sts get-caller-identity fails | Exit 1 | "Fix AWS credentials and rerun." |
| Cluster not found | Exit 1 after listing region's clusters | "Confirm HyperPod cluster name (not EKS) and region." |
sagemaker:* / ec2:* / eks:* / logs:* denied | Warn, add Missing IAM permission for <API>, continue | "Grant the listed IAM action and rerun." |
kubectl absent or unauthenticated | Skip EKS checks (access entries, add-ons, aws-auth, nodes) | "Install/authenticate kubectl." |
session-manager-plugin absent (Slurm) | Skip Slurm controller probe | "Install session-manager-plugin." |
| SSM throttled / times out (180s) | Retry with backoff; warn and continue if still failing | "Rerun later — script is idempotent." |
| CloudWatch log group not found | Skip CloudWatch check | "CloudWatch not configured on this cluster." |
Exit codes: 0 no critical failures · 1 one or more critical failures (cluster not found, fatal prerequisite missing, or any [FAIL] in diagnose or --validate mode). [WARN] lines do not affect the exit code.
| Need | Use |
|---|---|
| Shell on nodes | hyperpod-ssm |
| Version comparison across nodes | hyperpod-version-checker |
Escalate when:
Creating, Updating, or a post-maintenance rollback state) for an extended period.Run these commands and attach the output. Goal: AWS Support has everything at case open.
# 1. Cluster identity + status (confirms region, ARN, orchestrator, instance groups)
aws sagemaker describe-cluster --cluster-name <CLUSTER> --region <REGION>
# 2. Full cluster-level diagnostic bundle
bash scripts/diagnose-cluster.sh --cluster <CLUSTER> --region <REGION> > diag.txt
# 3. Per-node log/config bundle to S3 (delegates to hyperpod-issue-report skill)
# See skills/hyperpod-issue-report/SKILL.md for the exact invocation.ClusterId suffix) and AWS regionClusterStatus + FailureMessage from describe-clusterNodeLogicalIds / instance group namesdiag.txt from step 2 abovehyperpod-issue-report bundle from step 3© awslabs, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in plugins/sagemaker-ai/skills/hyperpod-cluster-debugger of awslabs/agent-plugins.
Open the folder on GitHubat commit da51970
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in awslabs/agent-plugins, which our catalogue first saw on October 7, 2026.
Hyperpod Cluster Debugger next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Hyperpod Cluster Debugger this skillawslabs/agent-plugins | 915 | 1 repos | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| AWS Native Runtime Investigationpulumi/pulumi-aws-native | 108 | — | ~753 | Automated safety check: Pass | Apache-2.0 | |
| Hunt Bugsgo-to-k/cdkd | 143 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Cloudformationitsmostafa/aws-agent-skills | 1.2k | — | ~2.5k | Automated safety check: Pass | MIT |
zxkane/aws-skills
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python.
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
pulumi/pulumi-aws-native
Use after triage or repository evidence establishes that an issue involves Pulumi AWS Native runtime behavior across the Pulumi provider protocol, generated CloudFormation metadata, and AWS Cloud…
go-to-k/cdkd
Proactively hunt for cdkd bugs by deploying real CDK apps that exercise common-but-untested AWS resources, configs, and CloudFormation notations against real AWS, then fix what breaks.
itsmostafa/aws-agent-skills
AWS CloudFormation infrastructure as code for stack management.
go-to-k/cdkd
Install cdkd and use it safely from an AWS CDK project. An agent skill from go-to-k/cdkd.
awslabs/agent-plugins
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR).
awslabs/agent-plugins
Generates code that transforms datasets between ML schemas for model training or evaluation.
awslabs/agent-plugins
Selects a fine-tuning technique (SFT, DPO, RLVR, or RLAIF) for the user's use case and validates it against the selected model's available recipes.
awslabs/agent-plugins
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases.
awslabs/agent-plugins
Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput.
awslabs/agent-plugins
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM).
Works with
Categories
Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement…. Hyperpod Cluster Debugger is an agent skill from awslabs/agent-plugins, published by the product's own GitHub organization. Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement, CloudFormation nested-stack errors, post-maintenance rollback state, dangling nodes, autoscaler conflicts.
Hyperpod Cluster Debugger fits situations like: tasks that involve Infrastructure as code.
Run `npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a claude-code`. Or copy the skill folder (plugins/sagemaker-ai/skills/hyperpod-cluster-debugger in awslabs/agent-plugins) into .claude/skills/hyperpod-cluster-debugger in your project. Claude Code loads it when a task matches its description.
Run `npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a codex`. Or copy the skill folder (plugins/sagemaker-ai/skills/hyperpod-cluster-debugger in awslabs/agent-plugins) into .agents/skills/hyperpod-cluster-debugger in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add awslabs/agent-plugins --skill hyperpod-cluster-debugger -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperpod-cluster-debugger, .gemini/skills/hyperpod-cluster-debugger, .github/skills/hyperpod-cluster-debugger and .opencode/skills/hyperpod-cluster-debugger in your project.
Going by SKILL.md and its folder, Hyperpod Cluster Debugger needs a shell for the scripts in its folder and the command-line tools its instructions call (bash, aws and kubectl). Our summary lists: A Bash shell.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Hyperpod Cluster Debugger is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Hyperpod Cluster Debugger: AWS Cdk Development (zxkane/aws-skills, 367 stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars), AWS Native Runtime Investigation (pulumi/pulumi-aws-native, 108 stars) and Hunt Bugs (go-to-k/cdkd, 143 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
awslabs (a GitHub organization, an official publisher) maintains it in awslabs/agent-plugins, which has 915 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on October 5, 2026.
Source: awslabs/agent-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.