k8s-autoscaling-troubleshooting SKILL.md skillA

k8s-autoscaling-troubleshooting from k8s-servant/k8s-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k8s-servant/k8s-skills/k8s-autoscaling-troubleshooting@git:20261025.f355dae

Pins git:20261025.f355dae in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k8s-servant/k8s-skills
Path
skills/k8s-autoscaling-troubleshooting/SKILL.md
Versions recorded
1
Latest version
git:20261025.f355dae, committed Oct 25, 2026
Size
10,896 bytes
Repository stars
35
License
Apache-2.0

Use when Kubernetes autoscaling does not scale as expected: a HorizontalPodAutoscaler whose TARGETS show "<unknown>", "missing request for cpu", "unable to get metrics for resource cpu" or "FailedGetResourceMetric", an HPA stuck at maxReplicas ("TooManyReplicas") or not scaling down, "Metrics API not available" from kubectl top, metrics-server not Ready, a KEDA ScaledObject that is not Ready ("ScaledObjectCheckFailed") or creates no HPA, KEDA scalers failing, two autoscalers on one workload…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Autoscaling troubleshooting

Find out why a workload does not scale the way it should, and propose a fix. **Read
first, ask before changing.** Run the investigation commands freely. Run a command under
an "Ask first" line only after the user approves that exact command; if your credentials
do not allow it, give it to the user to run. Never run a "Proposed fix"; hand it to the
user.

A **HorizontalPodAutoscaler** (HPA) sets the replica count of a Deployment or
StatefulSet every 15 seconds from metrics: CPU and memory from **metrics-server**
(`metrics.k8s.io`), or custom and external metrics from an adapter. **KEDA** turns a
**ScaledObject** into an HPA named `keda-hpa-<name>` and serves its triggers as external
metrics (`external.metrics.k8s.io`). A **VerticalPodAutoscaler** (VPA) changes requests
instead of replicas. The HPA writes what it decided, and why, into three status
conditions (AbleToScale, ScalingActive, ScalingLimited) and its events, so they usually
name the cause.

The commands use placeholders: `my-namespace`, `my-app` (the workload, its HPA and its
ScaledObject). Replace them with the real names. The built-in `view` role can read HPAs
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k8s-servant/k8s-skills/k8s-autoscaling-troubleshooting@sha256:262b0f2be454975c

The line at the top of this page pins the label git:20261025.f355dae, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_bqxs6oeyf5qrefas.svg)](https://markdownregistry.com/a/art_bqxs6oeyf5qrefas)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 25, 2026.

versioncommittedcommitsizeaudit
git:20261025.f355dae latest2026-10-25 f355dae 10,896 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10896 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

k8s-servant/k8s-skills · 35 stars · license Apache-2.0 · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bqxs6oeyf5qrefas
GET https://markdownregistry.com/api/v1/resolve?ref=k8s-servant/k8s-skills/k8s-autoscaling-troubleshooting
GET https://markdownregistry.com/api/v1/blob/262b0f2be454975cbd8d8766d9dba9324b4bb6f8af86110b8e33cba584cb196b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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