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xperf-pre-flightxperf 飞行前

Agent Skill

xperf-pre-flight 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,053

周安装

260

GitHub Stars

公开资料未说明

下载量

2,122
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:xperf-pre-flight(xperf 飞行前)
来源仓库:https://github.com/ops-xperf/xperf-pre-flight
安装命令:
openclaw skills install xperf-pre-flight
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install xperf-pre-flight

简介

xperf-pre-flight 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要 GPU 节点检查时使用。

  • 适用于训练前的集群节点健康验证场景。
  • 核心能力包括 26 项 GPU 和 PCI 设备检查功能。
  • 通过 clawhub 安装,命令为 openclaw skills install xperf-pre-flight。
  • 安装前需确认权限范围和维护状态,注意可能触发系统命令执行操作。

SKILL.md

name
AI Cluster Pre-flight Check
description
Pre-flight check for GPU cluster nodes — node validation before training, check cluster node health, is my GPU node ready. 26 health checks covering GPU, PCIe, RDMA/IB, Docker, IOMMU, NUMA, firewall, and more
version
1.0.0
metadata
openclaw
requires
bins
anyBins
os
emoji
\F50D
primaryEnv
PREFLIGHT_NODE_ID
homepage
https://clusterready.xperf.ai/

AI Cluster Pre-flight Check

By Xperf Inc. — part of the ClusterReady automatic cluster and rack validation platform.

AI-powered GPU cluster pre-flight validation skill. Run 26 GPU cluster node readiness checks locally on a bare-metal node. Auto-detects GPU vendor (NVIDIA / AMD) and network type (InfiniBand / RoCE / Ethernet). Validates GPU detection, PCIe topology, RDMA/InfiniBand networking, Docker, IOMMU, NUMA, firewall, BIOS, and more.

Example Prompts

  • "Run a pre-flight check on this node"
  • "Is my GPU node ready for training?"
  • "Check cluster node health"
  • "Validate this node before training"
  • "Are my GPUs and network configured correctly?"
  • "Run all health checks on this bare-metal node"
  • "Check if GPUDirect and RDMA are working"
  • "Is IOMMU in passthrough mode?"

When to Use

  • Before running GPU workloads — ensure the node is properly configured
  • After provisioning — validate new bare-metal nodes are cluster-ready
  • Periodic health monitoring — catch hardware or config drift
  • Troubleshooting — run specific checks to diagnose issues

How to Run

Run all checks:

bash {baseDir}/preflight.sh

Run specific checks only:

PREFLIGHT_CHECKS=1.3,1.4,1.5 bash {baseDir}/preflight.sh

Run in strict mode (no skippable failures):

PREFLIGHT_STRICT=true bash {baseDir}/preflight.sh

Enable cross-node checks:

PREFLIGHT_PEER_IPS=10.0.1.11,10.0.1.12 bash {baseDir}/preflight.sh

Environment Variables

VariableRequiredDefaultDescription
PREFLIGHT_NODE_IDNohostnameNode identifier in output
PREFLIGHT_CHECKSNoallComma-separated check subset (e.g. 1.2,1.3,1.5)
PREFLIGHT_STRICTNofalseTreat skippable failures as errors
PREFLIGHT_PEER_IPSNoComma-separated peer IPs for cross-node checks (1.1, 1.26, mesh ping)
MOUNT_POINTNoauto-detectShared filesystem path for check 1.10
SWITCH_HOSTNoSwitch hostname for check 1.25
SWITCH_CLI_CMDNoDirect switch CLI command for check 1.25
SWITCH_USERNoadminSwitch SSH user
SWITCH_SHOW_CMDNoshow interface statusSwitch show command

Output

JSON to stdout, diagnostics to stderr. Pipe through jq for pretty-printing:

bash {baseDir}/preflight.sh 2>/dev/null | jq .

Exit Codes

  • 0 — All checks passed (or skipped)
  • 1 — One or more checks failed
  • 2 — Configuration error

Check Catalog

IDNameScopeDescription
1.1SSH ConnectivityCross-nodeTests SSH to peer nodes
1.2Docker ServiceLocalVerifies Docker daemon is running
1.3GPU DetectionLocalDetects NVIDIA or AMD GPUs
1.4GPU Count and ModelLocalReports GPU count and model
1.5GPU Driver VersionLocalReports GPU driver version
1.6OS and KernelLocalReports OS and kernel version
1.7Network TypeLocalDetects InfiniBand, RoCE, or Ethernet
1.8IB/NIC PortsLocalChecks network port status
1.9GPU Container ToolkitLocalTests GPU access inside Docker
1.10Shared FilesystemLocalValidates shared mount read/write
1.11GPUDirect Kernel ModuleLocalChecks RDMA peer memory modules
1.12IOMMU PassthroughLocalValidates IOMMU in passthrough mode
1.13NUMA BalancingLocalReports NUMA balancing setting
1.14Firewall DisabledLocalChecks firewall is inactive
1.15PCIe Link Speed/WidthLocalValidates PCIe link negotiation
1.16PCIe ACS DisabledLocalChecks ACS on PCI bridges
1.17GPU-NIC PCIe AffinityLocalReports GPU/NIC topology
1.18NIC FirmwareLocalReports NIC firmware version
1.19BIOS SettingsLocalValidates BIOS/IPMI settings
1.20Link QualityLocalChecks error counters
1.21Transceiver HealthLocalChecks optical module health
1.22MTU ConfigurationLocalValidates jumbo frames (MTU >= 9000)
1.23Fabric TopologyLocalDiscovers IB fabric topology
1.24RoCE QoS/NIC ConfigLocalReports QoS and GID configuration
1.25Switch QoSCross-nodeValidates switch configuration
1.26Network RoutingCross-nodeTests ping to peer nodes
meshL3 Mesh PingCross-nodeTests connectivity to all peers

Interpreting Results

  • pass — Check succeeded
  • fail — Check failed (node may not be ready)
  • skip — Check failed with a known non-critical signature (e.g. missing optional tool). In strict mode, these become failures.

Checks auto-detect GPU vendor (NVIDIA vs AMD) and network type (InfiniBand vs RoCE vs Ethernet), running the appropriate commands for each.

Support

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

95.24%
按下载量换算2,021

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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