AGENT SKILL

k8s-log-investigation

Investigate Kubernetes pod logs efficiently when logs are large. Use whenever the user mentions kubernetes, k8s, pod logs, errors, warnings, exceptions, crash loops, or asks to diagnose logs without dumping everything.

使用场景运维与部署
License 许可
MIT
所属仓库
blouargant/omnis
最近更新
2026-11-10
Stars
★ 0
Forks
0

01 前言 Front Matter

name
k8s-log-investigation
metadata
{ "tags": "kubernetes, logs, investigation, playbook", "author": "blouargant@chapsvision.com" }
description
Investigate Kubernetes pod logs efficiently when logs are large. Use whenever the user mentions kubernetes, k8s, pod logs, errors, warnings, exceptions, crash loops, or asks to diagnose logs without dumping everything.

03 SKILL.md 正文

Kubernetes Log Investigation

Use this skill to triage pod logs with a token-efficient workflow: find anchor log lines that match high-signal problem patterns first, then expand around those anchors, and only fetch full logs as a last resort.

When to use it

  • The user asks to investigate Kubernetes logs.
  • Logs may be very large and expensive to retrieve in full.
  • The goal is to find actionable errors quickly.

Procedure

Phase 1: Scope and pod selection

  1. Confirm scope first. Identify cluster context, namespace, workload, and time window. Ask for missing values before pulling logs.
  2. Pick target pods. Prefer the newest unhealthy pod(s) from the workload selector. If multiple replicas fail, sample one or two first.
  3. Start with a narrow log window. Pull only a recent slice (for example --tail=200 and optionally --since=10m).

Phase 2: Anchor search

  1. Search for anchors, do not dump all logs. Treat anchors as log lines matching high-signal problem patterns (case-insensitive), for example:
    • error|warn|warning|fatal|panic|exception|traceback
    • failed|failure|timeout|timed out|refused|unavailable
    • oomkilled|backoff|crashloop|segfault

Phase 3: Anchor expansion and lifecycle correlation

  1. Expand around anchors with small context. For each interesting match, expand with grep -A 5 -B 5 (or equivalent). Keep the first expansion small.
  2. Iterate context size gradually. If needed, increase to -A 20 -B 20, then -A 50 -B 50 for the same anchor. Do not jump to full logs early.
  3. Correlate with container lifecycle. If restart/crash behavior is present, check previous container logs (--previous) and compare with current logs.

Phase 4: If anchors are missing

  1. Widen carefully and retry anchor search. Increase tail/since window and repeat Phase 2 before considering full logs.
  2. Last resort only: retrieve complete logs. Pull full logs only when anchor search and progressive widening fail to produce clues.

Phase 5: Report

  1. Report findings succinctly. Provide top anchors, short surrounding excerpts, likely root cause category, and the smallest next action.

Suggested command patterns

Use Bash with kubectl and shell pipes, or equivalent MCP read-only log calls, while preserving the same strategy.

# Current logs, narrow window
kubectl logs -n <ns> <pod> --tail=200 --since=10m

# Anchor search
kubectl logs -n <ns> <pod> --tail=2000 --since=30m | \
  grep -Ei 'error|warn|warning|fatal|panic|exception|failed|timeout|refused|oomkilled|crashloop'

# Small contextual expansion around a specific anchor term
kubectl logs -n <ns> <pod> --tail=4000 --since=1h | \
  grep -Ein -A 5 -B 5 'timeout|connection refused|panic'

# Previous container logs for crash loops
kubectl logs -n <ns> <pod> --previous --tail=500

Hard rules

  • Never fetch full logs first when the stream can be sampled and searched.
  • Never run destructive Kubernetes commands during log investigation.
  • Never include secrets/tokens found in logs in the final response; redact.
  • If access is denied, report the permission boundary instead of retrying with guessed credentials.

Output rule

Always finish with a single line: Result: ok | needs-attention | blocked.

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