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kubectl-investigator

kubectl-investigator is a skill for Claude Code from anyshift-io/sre-skills. It costs 159 tokens per session (4,403 once invoked), scanned A, original, Apache-2.0.

A method for investigating incidents in Kubernetes, a system that runs and manages containers across servers. It examines recent changes and produces a timeline, possible causes, affected scope, and a mitigation recommendation.

In plain words
What is it for?
Investigating crashing or pending workloads, memory failures, DNS problems, cascading failures, deployment-related incidents, and related Kubernetes changes.
Why use it?
It gives incident response a structured way to connect alerts or customer impact with rollouts, configuration, permissions, scaling, and cluster changes.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sre-skills plugin — 5 skills shipped together

not rated 17repo 15d ago A scan SkillSpector: pass 159 tokens original Apache-2.0

Good fit Investigating crashing or pending workloads, memory failures, DNS problems, cascading failures, deployment-related incidents, and related Kubernetes changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anyshift-io/sre-skills/kubectl-investigator
View source ↗ anyshift-io/sre-skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add anyshift-io/sre-skills --skill kubectl-investigator
Clone the repo
git clone --depth 1 https://github.com/anyshift-io/sre-skills

Made for: Claude Code.

Or install sre-skills, the plugin that ships this one along with the rest of its 5 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for kubectl-investigator

README.md
[![agentmods](https://agentmods.dev/badge/skills/anyshift-io/sre-skills/kubectl-investigator/github.svg)](https://agentmods.dev/skills/anyshift-io/sre-skills/kubectl-investigator)
Your own site
<a href="https://agentmods.dev/skills/anyshift-io/sre-skills/kubectl-investigator"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/kubectl-investigator/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kubectl-investigator

Your own site · 80×15
<a href="https://agentmods.dev/skills/anyshift-io/sre-skills/kubectl-investigator"><img src="https://agentmods.dev/badge/skills/anyshift-io/sre-skills/kubectl-investigator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,403 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00159 $0.04403
Opus 5 $0.00079 $0.02201
Sonnet 5 $0.00032 $0.00881
Haiku 4.5 $0.00016 $0.00440

Measured 12d ago against content hash c0b7f51f1b43, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

kubectl-investigator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (tests/_methodology.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/kubectl-investigator/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kubectl-investigator

Methodology skill for investigating a live or recent incident on Kubernetes. Produces a timeline, a ranked set of hypotheses, a blast-radius estimate, and a recommended mitigation. Hands off cleanly to postmortem-author once the incident is mitigated.

Scope: workloads running on Kubernetes (Deployments, StatefulSets, DaemonSets, Jobs/CronJobs) and the cluster primitives around them (Services, Ingress, CoreDNS, ConfigMaps/Secrets, RBAC, HPA, nodes). External dependencies (third-party APIs, partner TLS endpoints, managed databases) are in scope only as seen from a Kubernetes workload — the methodology investigates the cluster-side symptom and the in-cluster change surface.

When to invoke

  • A PrometheusRule / Alertmanager alert just fired on a workload and the agent needs to triage before paging a human.
  • A user asks "what is breaking in the cluster right now" or "why did Deployment X just page".
  • A kubectl rollout / Helm release / Argo CD sync went out in the last hour and a metric moved; need to know whether they are linked.
  • Pods are crash-looping, OOMKilled, or Pending, or customer impact is reported with no alert yet; need to find the failing surface.

The methodology, in order

The order matters. Skipping a step produces confident wrong answers.

1. Anchor the window

Lock two timestamps before doing anything else:

  • T0: the trigger timestamp. Apply this order:
    1. If an alert is provided as the trigger, T0 = alert fire time. Use this verbatim. Do not substitute an earlier "first error in logs / first OOMKilled event" timestamp just because one exists; the alert fire time is the agreed-upon coordination point for the incident.
    2. If a customer report is the trigger, T0 = report timestamp.
    3. If neither exists (operator-initiated investigation, "pods slow all morning"), T0 = earliest unambiguous signal in the available telemetry (first OOMKilled event, first SERVFAIL, first error-rate inflection), and mark T0 as ambiguous (see below).
  • Tnow: current time, or the timestamp the investigation was triggered.

Read the full file on GitHub · 185 lines

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 185 lines · 159 tokens per session scan A c0b7f51f1b43

Subscribe to this mod's changes

kubectl-investigator is a skill published in the GitHub repository anyshift-io/sre-skills (17 stars, last pushed 15d ago), licensed Apache-2.0. It adds 159 tokens to every session and 4,403 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

ContainersDebuggingDevOps and cloudai-agentsanthropic-skillsanyshiftclaude-skillsincident-managementpostmortem
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