Install
$ agentstack add skill-seed-forge-harness-ai-kit-diag-k8s-pod-crashloop ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
K8s Pod CrashLoopBackOff Full-Chain Diagnostics
用途
当 Pod 反复重启、状态显示 CrashLoopBackOff 或 Error 时触发。本技能是自包含诊断 Runbook。
输入
- kubectl 上下文(kubeconfig)
- 目标 Pod 名称 + Namespace
输出
- CrashLoop 根因分析报告 + 修复建议
诊断步骤
Step 1: Pod 状态与事件
kubectl get pod {pod_name} -n {namespace} -o wide
kubectl describe pod {pod_name} -n {namespace}
# 关注 Events 区块:OOMKilled / Error / ImagePullBackOff / FailedMount
Step 2: 容器日志
# 当前容器日志(可能在 crash 后已清空)
kubectl logs {pod_name} -n {namespace} --all-containers=true --tail=100
# 上一次崩溃的日志
kubectl logs {pod_name} -n {namespace} --all-containers=true --previous --tail=200
Step 3: 重启原因分类
| 事件关键词 | 根因 | 典型修复 | |-----------|------|---------| | OOMKilled | 内存超限 | 增大 resources.limits.memory 或修复内存泄漏 | | Error (exit code 1) | 应用启动失败 | 检查日志、配置、依赖服务连通性 | | ImagePullBackOff | 镜像拉取失败 | 检查 image tag、imagePullSecrets、registry 可达 | | FailedMount | ConfigMap/Secret/PVC 挂载失败 | 检查引用是否存在 | | Liveness probe failed | 健康检查超时 | 调整 initialDelaySeconds / timeoutSeconds | | CreateContainerConfigError | env/configMapKeyRef 缺失 | 检查引用的 ConfigMap/Secret key | | BackOff restarting | 重启间隔递增 | 以上任一原因的持续重试 |
Step 4: 资源限制与请求
kubectl get pod {pod_name} -n {namespace} -o jsonpath='{range .spec.containers[*]}{.name}: requests={.resources.requests} limits={.resources.limits}{"\n"}{end}'
Step 5: 依赖检查
# ConfigMap/Secret 是否存在
kubectl get configmap -n {namespace} | grep {configmap_name}
kubectl get secret -n {namespace} | grep {secret_name}
# PVC 状态
kubectl get pvc -n {namespace} | grep {pvc_name}
# Service 端点
kubectl get endpoints {service_name} -n {namespace}
输出模板
K8s Pod CrashLoop Analysis Report
════════════════════════════════════════
Cluster: {context}
Namespace: {namespace}
Pod: {pod_name}
Node: {node_name}
Time: {timestamp}
Pod Status
Phase: {phase}
Restart Count: {restart_count}
Last State: {last_state} (exit code: {exit_code})
Reason: {reason}
Events (last 10)
{event_1}
{event_2}
...
Container Logs (previous crash, last 20 lines)
{log_lines}
Root Cause: {root_cause}
Recommendations
1. {fix_1}
2. {fix_2}
告警阈值
| 指标 | Warning | Critical | |------|---------|----------| | Pod restarts in 1h | > 3 | > 10 | | CrashLoopBackOff duration | > 5min | > 30min | | Node NotReady | - | 任一 |
推荐输出格式
执行完毕后输出诊断报告:
结论:
| 排查环节 | 发现 | 证据 | |---------|------|------| | ... | {...} | {...} |
根因: 修复建议:
约束
- 只读诊断,不执行
kubectl delete / edit / scale等变更操作。 - 不修改 kubeconfig 或切换 context。
Quick Reference
| 动作 | 命令 | |------|------| | Pod 状态 | kubectl get pod {name} -n {ns} -o wide | | Pod 详情 | kubectl describe pod {name} -n {ns} | | 容器日志 | kubectl logs {name} -n {ns} --previous --tail=200 | | 资源限制 | kubectl get pod {name} -n {ns} -o jsonpath='...' | | 节点状态 | kubectl get nodes -o wide |
专题引用
无外部 references。如需 K8s 集群运维,联动 infra-observability-ops。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: seed-forge
- Source: seed-forge/harness-ai-kit
- License: Apache-2.0
- Homepage: https://pypi.org/project/harness-ai-kit/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.