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使用 Inspektor Gadget 捕获底层 Kubernetes 运行时证据

当智能体需要从 Pod、容器或节点获取普通日志和指标无法暴露的 eBPF 支持的运行时证据时,运行指定的 Inspektor Gadget 追踪和快照。

使用 Inspektor Gadget 捕获底层 Kubernetes 运行时证据 是什么?

本技能允许 AI 智能体利用 Inspektor Gadget 直接从 Kubernetes 或 Linux 系统捕获底层运行时证据。它通过运行预定义的 Gadgets(例如 trace_open)来触发 eBPF 事件,从而获取文件打开、系统调用等精细化信息,弥补传统日志和指标的不足。该技能基于上游 Inspektor Gadget 项目,支持通过 Docker 直接运行,也可利用 kubectl node debug 在 Kubernetes 节点上执行。安装后,智能体可以安全地调用这些 Gadgets 以辅助故障排查、安全审计或性能分析,但需注意权限限制和可运行的 Gadget 范围。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/agentskillexchange/skills/tree/main/skills/capture-low-level-kubernetes-runtime-evidence-with-inspektor-gadget

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使用 Inspektor Gadget 捕获底层 Kubernetes 运行时证据 是做什么的?

当智能体需要从 Pod、容器或节点获取普通日志和指标无法暴露的 eBPF 支持的运行时证据时,运行指定的 Inspektor Gadget 追踪和快照。

前提条件

已安装 Inspektor Gadget 在 Kubernetes 或 Linux 上,并具有运行 Gadgets 的权限

安装

请根据您的环境使用上游安装或设置路径:

  • docker run -ti --rm --privileged -v /:/host --pid=host ghcr.io/inspektor-gadget/ig:latest run trace_open:latest

来自上游的要求和注意事项:

  • Kubectl Node Debug

  • 我们可以使用 kubectl node debug 在 Kubernetes 节点上运行 ig:
  • kubectl debug --profile=sysadmin node/minikube-docker -ti --image=ghcr.io/inspektor-gadget/ig:latest -- ig run trace_open:latest

基本用法或入门说明:

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来源

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

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Add persistent project memory and hook-driven synthesis with Cla

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Add Postgres-native vector retrieval to agent and RAG workflows

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Address GitHub PR review comments from the current branch with g

Find the open PR for the current branch, gather unresolved review comments, and drive a focused comment-resolution workflow with gh-authenticated context.

Add runtime guardrails to TypeScript agents with VoltAgent

Use VoltAgent to intercept, validate, and enforce input/output policies in TypeScript agent workflows.

Add temporal context memory to agent workflows with Zep

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