hyperpod-node-debugger
Diagnose and remediate per-node issues on a HyperPod cluster (EKS or Slurm) — a specific node is unhealthy, unresponsive, stuck, or needs replacing. Covers on-node EFA, GPU / accelerator hardware (XID, ECC, NVLink, row-remap, DCGM), Slurm node down/drained, disk and memory pressure, per-node lifecycle-script failures, SSM agent, container runtime, kernel panics, pod networking. Read-only. Not for cluster-wide provisioning (→ hyperpod-cluster-debugger), NCCL (→ hyperpod-nccl), or MFU (→ hyperpod-mfu-debugger).
What this skill does
# HyperPod Node 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. Destructive order: **investigate → reboot → replace** (replace destroys root + secondary volumes; not supported on Slurm controller nodes). Never discard training state, logs, or caches on speculation. **IaC note (always include with mutation commands).** When you suggest any command that changes cluster, VPC, SG, subnet, or EKS configuration (e.g. `authorize-security-group-*`, `modify-vpc-attribute`, `update-cluster`, `kubectl label/cordon/drain`, `create namespace`, `set env daemonset`), ask the customer first whether the cluster / VPC / SG is managed by Infrastructure-as-Code (CloudFormation, CDK, Terraform, Pulumi). If yes, tell them: "Apply this change in your IaC source first, then deploy through the pipeline — running the command directly will drift from your template and the next stack update may overwrite it." If they need to fix the issue immediately and the IaC change will follow, flag the drift explicitly so they remember to reconcile. Read-only triage. `scripts/triage-cluster.sh` (and helpers `check-efa-sg.sh`, `check-node-reachability.sh`, `check-vpc-config.sh`) read state and print each issue as `[FAIL] ... → references/node-diagnostics-detail.md § <section>`. Catalog of customer-ticket patterns: [references/node-issue-catalog.md](references/node-issue-catalog.md). --- ## Workflow 1. Collect cluster name, region, suspect instance ID, exact error string from logs. 2. Run `scripts/triage-cluster.sh` (add `--node <INSTANCE-ID>` to focus one node). 3. For every `[FAIL]` / issue entry, `Read` the referenced section. 4. Present: what script detected (copy the line verbatim), root cause, exact command(s) with instance/SG IDs filled in, blast radius (e.g. "reboots i-xxx", "wipes volumes on replacement"). For any command that mutates cluster/VPC/SG/EKS state, ask whether the affected resource is IaC-managed and surface the drift warning from the operating-policy note above. 5. Wait for explicit customer approval. Destructive order: investigate → reboot → replace. 6. Re-run triage to confirm. Iterate if not cleared. ## Step 1: Triage ```bash bash scripts/triage-cluster.sh --cluster <CLUSTER_NAME_OR_ARN> --region <REGION> # Focus on one node: bash scripts/triage-cluster.sh --cluster <CLUSTER_NAME_OR_ARN> --region <REGION> --node <INSTANCE_ID> ``` One pass collects: cluster status + NodeRecovery, events, per-node health (HyperPod + EKS labels, Slurm states), VPC/SG snapshot, CloudWatch availability, SSM readiness, on-node resource checks (disk, memory, /dev/shm, OOM, NVMe, time sync, SSM agent), Slurm node→instance mapping. Tags: `[PASS]` passed · `[FAIL]` issue with a `→ references/...` pointer · `[WARN]` advisory · `[INFO]` informational. Priorities: **P0** blocks operation · **P1** degraded · **P2** informational. ## Step 2: Match signal → section **Events (`list-cluster-events`) — provisioning-time:** | Event | Section | | --------------------------------------------------------------------------- | --------------------------------------------------------------- | | `"EFA health checks did not run successfully"` (public-doc verbatim signal) | **[A: EFA/SG](#a-efa--security-group)** | | Instance bootstrap or network-misconfiguration event | **[A](#a-efa--security-group)** + **[B: VPC](#b-vpc--routing)** | | Lifecycle-script failure or timeout | **[D: Lifecycle](#d-lifecycle-scripts)** | | Insufficient-capacity or AZ-mismatch failure at creation | **[C: Capacity](#c-capacity--az)** | | Hardware failure / `UnschedulablePendingReplacement` | **[F: Hardware](#f-hardware--auto-repair)** | **EKS labels:** | Label | Section | | ----------------------------------------------------- | ---------------------------------------------------------------- | | `node-health-status: UnschedulablePendingReplacement` | **[F](#f-hardware--auto-repair)** | | `node-health-status: UnschedulablePendingReboot` | **[F](#f-hardware--auto-repair)** | | `deep-health-check-status: Failed` | **[G](#g-gpu--accelerator)** → **[F](#f-hardware--auto-repair)** | **Symptoms:** | Symptom | Section | | -------------------------------------------------------- | --------------------------------------------------------------- | | Training hangs at NCCL init / AllReduce | **[A](#a-efa--security-group)** → **[E](#e-software-versions)** | | Slurm node `down` / `"Node unexpectedly rebooted"` | **[H: Slurm](#h-slurm-node-management)** | | Jobs stuck PENDING / COMPLETING | **[H](#h-slurm-node-management)** | | Auto-repair not triggering | **[F](#f-hardware--auto-repair)** | | GPU not visible / XID / ECC errors | **[G](#g-gpu--accelerator)** | | GPU row-remap pending/failed / silent NaNs / DCGM Fail | **[G § G.1.a/b](#g-gpu--accelerator)** | | Disk full / OOM / `"Cannot allocate memory"` | **[I: Resources](#i-resource-exhaustion)** | | Wrong vCPU count (e.g. 96 instead of 192 on p5.48xlarge) | **[J: Config](#j-configuration)** | | Container CrashLoopBackOff / runtime crash | **[M: Container Runtime](#m-container-runtime)** | | `aws-node` CrashLoopBackOff / gRPC 50051 refused | **[O: CNI / Pod Networking](#o-cni--pod-networking)** | | Pods stuck Pending with no IP / CNI error | **[O](#o-cni--pod-networking)** | | DNS resolution / `enableDnsSupport` | **[B § B.2](#b-vpc--routing)** | | Public subnet / IGW misconfigured | **[B § B.3](#b-vpc--routing)** | | Missing VPC endpoints (ECR / STS / FSx) | **[B § B.4](#b-vpc--routing)** | | EKS VPC / SG mismatch with HyperPod | **[B § B.5](#b-vpc--routing)** | | Kernel panic / watchdog / hung task | **[N: Kernel](#n-kernel--system)** | | Need shell on a node | **[K: SSM](#k-node-access-via-ssm)** | | Collect logs for AWS Support | **[L: Log Collection](#l-log-collection)** | --- ## A: EFA / Security Group Per the HyperPod prerequisites doc, the SG must allow all inbound and outbound to itself. `scripts/check-efa-sg.sh` validates self-ref rules on every cluster SG. On-node EFA check via `scripts/check-node-reachability.sh` over SSM. Full: [§ A](references/node-diagnostics-detail.md#a-efa--security-group). ## B: VPC / Routing SG/subnet VPC mismatch, missing S3 Gateway endpoint, EKS auth mode, worker→controller routing, VPC DNS support, private-subnet + NAT / VPC endpoints, EKS↔HyperPod VPC alignment. `scripts/check-vpc-config.sh`. Full: [§ B](references/node-diagnostics-detail.md#b-vpc--routing). ## C: Capacity / A
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.