Home / gke-labs / kube-agents · agents/platform/skills/cluster-agent-lifecycle/SKILL.md · GitHub

cluster-agent-lifecycle skillA

cluster-agent-lifecycle is agent-read markdown (skill) from gke-labs/kube-agents: Create, delegate to, and tear down per-cluster Cluster Agent Hermes profiles. Use whenever a GKE cluster is onboarded or deleted, or whenever a single-cluster runtime debugging/operations task should be delegated to that cluster's Cluster Agent..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Cluster Agent Lifecycle Skill

As the Platform Agent you own the lifecycle of **Cluster Agents**. A Cluster Agent is a Hermes _profile_ — an isolated agent instance with its own persona (`SOUL.md`), scoped toolset, and home directory — that you create dynamically **inside your own pod**, one per managed GKE cluster. It handles read-only runtime operations and deep workload diagnostics on that single cluster, and returns its findings to you.

You never debug tenant workloads directly. You delegate that to the cluster's Cluster Agent and act on what it returns.

The engine for all of this is the helper script `scripts/cluster_agent_profile.py` (resolved at `/opt/data/scripts/cluster_agent_profile.py` at runtime).

## When to create a profile
…

Read the whole file at its exact version.

How to install

Latest version
mdr add gke-labs/kube-agents/cluster-agent-lifecycle@git:20260923.0dcc0b4
Exact content
mdr add gke-labs/kube-agents/cluster-agent-lifecycle@sha256:61aa591ecd3c8e71

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
git:20260923.0dcc0b4 latest2026-09-23 0dcc0b4 10,395 BA view · diff
git:20260904.b90acf72026-09-04 b90acf7 9,364 BA view · diff
git:20260901.5205f282026-09-01 5205f28 9,182 BA view · diff
git:20260831.842ef182026-08-31 842ef18 9,091 BA view · diff
git:20260820.e0ddc122026-08-20 e0ddc12 7,535 BA view · diff
git:20260813.ec855eb2026-08-13 ec855eb 7,431 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (10395 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

gke-labs/kube-agents · 64 stars · license Apache-2.0 · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l2vuak4owlmatqub
GET https://markdownregistry.com/api/v1/resolve?ref=gke-labs/kube-agents/cluster-agent-lifecycle
GET https://markdownregistry.com/api/v1/blob/61aa591ecd3c8e71293c788f3956d1edfd82edd041cda897d72cfc031589599f

Your agent 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.

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